From d1144ec4fc07701932fa351f2eb6d36a623ea33a Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Fri, 24 Nov 2023 08:01:33 -0700 Subject: [PATCH 01/47] black formatting --- swarms/models/anthropic.py | 6 ++++-- swarms/models/dalle3.py | 18 ++++++------------ swarms/models/huggingface.py | 6 ++---- swarms/models/ssd_1b.py | 12 ++++-------- swarms/structs/flow.py | 10 ++++------ swarms/structs/sequential_workflow.py | 8 +++----- 6 files changed, 23 insertions(+), 37 deletions(-) diff --git a/swarms/models/anthropic.py b/swarms/models/anthropic.py index 1f47e1bf..1f0fe759 100644 --- a/swarms/models/anthropic.py +++ b/swarms/models/anthropic.py @@ -185,9 +185,11 @@ def build_extra_kwargs( if field_name in extra_kwargs: raise ValueError(f"Found {field_name} supplied twice.") if field_name not in all_required_field_names: - warnings.warn(f"""WARNING! {field_name} is not default parameter. + warnings.warn( + f"""WARNING! {field_name} is not default parameter. {field_name} was transferred to model_kwargs. - Please confirm that {field_name} is what you intended.""") + Please confirm that {field_name} is what you intended.""" + ) extra_kwargs[field_name] = values.pop(field_name) invalid_model_kwargs = all_required_field_names.intersection( diff --git a/swarms/models/dalle3.py b/swarms/models/dalle3.py index 3c130670..419cb060 100644 --- a/swarms/models/dalle3.py +++ b/swarms/models/dalle3.py @@ -168,10 +168,8 @@ class Dalle3: # Handling exceptions and printing the errors details print( colored( - ( - f"Error running Dalle3: {error} try optimizing your api" - " key and or try again" - ), + f"Error running Dalle3: {error} try optimizing your api" + " key and or try again", "red", ) ) @@ -233,10 +231,8 @@ class Dalle3: except (Exception, openai.OpenAIError) as error: print( colored( - ( - f"Error running Dalle3: {error} try optimizing your api" - " key and or try again" - ), + f"Error running Dalle3: {error} try optimizing your api" + " key and or try again", "red", ) ) @@ -310,10 +306,8 @@ class Dalle3: except Exception as error: print( colored( - ( - f"Error running Dalle3: {error} try optimizing" - " your api key and or try again" - ), + f"Error running Dalle3: {error} try optimizing" + " your api key and or try again", "red", ) ) diff --git a/swarms/models/huggingface.py b/swarms/models/huggingface.py index 1db435f5..f3f7d45f 100644 --- a/swarms/models/huggingface.py +++ b/swarms/models/huggingface.py @@ -291,10 +291,8 @@ class HuggingfaceLLM: except Exception as e: print( colored( - ( - "HuggingfaceLLM could not generate text because of" - f" error: {e}, try optimizing your arguments" - ), + "HuggingfaceLLM could not generate text because of" + f" error: {e}, try optimizing your arguments", "red", ) ) diff --git a/swarms/models/ssd_1b.py b/swarms/models/ssd_1b.py index 406678ef..aaa3f17e 100644 --- a/swarms/models/ssd_1b.py +++ b/swarms/models/ssd_1b.py @@ -140,10 +140,8 @@ class SSD1B: # Handling exceptions and printing the errors details print( colored( - ( - f"Error running SSD1B: {error} try optimizing your api" - " key and or try again" - ), + f"Error running SSD1B: {error} try optimizing your api" + " key and or try again", "red", ) ) @@ -228,10 +226,8 @@ class SSD1B: except Exception as error: print( colored( - ( - f"Error running SSD1B: {error} try optimizing" - " your api key and or try again" - ), + f"Error running SSD1B: {error} try optimizing" + " your api key and or try again", "red", ) ) diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index 18a141a3..99a3e587 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -137,7 +137,7 @@ class Flow: """ Flow is the structure that provides autonomy to any llm in a reliable and effective fashion. The flow structure is designed to be used with any llm and provides the following features: - + Features: * Interactive, AI generates, then user input * Message history and performance history fed -> into context -> truncate if too long @@ -489,10 +489,8 @@ class Flow: except Exception as error: print( colored( - ( - "Error activating autonomous agent. Try optimizing your" - " parameters..." - ), + "Error activating autonomous agent. Try optimizing your" + " parameters...", "red", ) ) @@ -652,7 +650,7 @@ class Flow: while attempt < self.retry_attempts: try: response = self.llm( - task**kwargs, + task ** kwargs, ) if self.interactive: print(f"AI: {response}") diff --git a/swarms/structs/sequential_workflow.py b/swarms/structs/sequential_workflow.py index 753ada15..85990854 100644 --- a/swarms/structs/sequential_workflow.py +++ b/swarms/structs/sequential_workflow.py @@ -385,11 +385,9 @@ class SequentialWorkflow: except Exception as e: print( colored( - ( - f"Error initializing the Sequential workflow: {e} try" - " optimizing your inputs like the flow class and task" - " description" - ), + f"Error initializing the Sequential workflow: {e} try" + " optimizing your inputs like the flow class and task" + " description", "red", attrs=["bold", "underline"], ) From a2296856f8137814289f58b1ac34342cda0f9cf4 Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Fri, 24 Nov 2023 08:21:16 -0700 Subject: [PATCH 02/47] renamed tests to allow for pytest autodiscovery --- tests/agents/{idea_to_image.py => test_idea_to_image.py} | 0 tests/agents/{omni_modal.py => test_omni_modal.py} | 0 tests/embeddings/{pegasus.py => test_pegasus.py} | 0 tests/memory/{main.py => test_main.py} | 0 tests/memory/{oceandb.py => test_oceandb.py} | 0 tests/memory/{pg.py => test_pg.py} | 0 tests/memory/{pinecone.py => test_pinecone.py} | 0 tests/models/{LLM.py => test_LLM.py} | 0 tests/models/{ada.py => test_ada.py} | 0 tests/models/{anthropic.py => test_anthropic.py} | 0 tests/models/{auto_temp.py => test_auto_temp.py} | 0 tests/models/{bingchat.py => test_bingchat.py} | 0 tests/models/{bioclip.py => test_bioclip.py} | 0 tests/models/{biogpt.py => test_biogpt.py} | 0 tests/models/{cohere.py => test_cohere.py} | 0 tests/models/{dalle3.py => test_dalle3.py} | 0 tests/models/{distill_whisper.py => test_distill_whisper.py} | 0 .../models/{distilled_whisperx.py => test_distilled_whisperx.py} | 0 tests/models/{elevenlab.py => test_elevenlab.py} | 0 tests/models/{fuyu.py => test_fuyu.py} | 0 tests/models/{gpt4v.py => test_gpt4v.py} | 0 tests/models/{hf.py => test_hf.py} | 0 tests/models/{huggingface.py => test_huggingface.py} | 0 tests/models/{idefics.py => test_idefics.py} | 0 tests/models/{jina_embeds.py => test_jina_embeds.py} | 0 tests/models/{kosmos.py => test_kosmos.py} | 0 tests/models/{kosmos2.py => test_kosmos2.py} | 0 .../{llama_function_caller.py => test_llama_function_caller.py} | 0 tests/models/{mistral.py => test_mistral.py} | 0 tests/models/{mpt7b.py => test_mpt7b.py} | 0 tests/models/{nougat.py => test_nougat.py} | 0 tests/models/{revgptv1.py => test_revgptv1.py} | 0 tests/models/{revgptv4.py => test_revgptv4.py} | 0 tests/models/{speech_t5.py => test_speech_t5.py} | 0 tests/models/{ssd_1b.py => test_ssd_1b.py} | 0 tests/models/{timm_model.py => test_timm_model.py} | 0 tests/models/{vilt.py => test_vilt.py} | 0 tests/models/{whisperx.py => test_whisperx.py} | 0 tests/models/{yi_200k.py => test_yi_200k.py} | 0 tests/structs/{flow.py => test_flow.py} | 0 .../structs/{nonlinear_workflow.py => test_nonlinear_workflow.py} | 0 .../{sequential_workflow.py => test_sequential_workflow.py} | 0 tests/structs/{workflow.py => test_workflow.py} | 0 tests/swarms/{autoscaler.py => test_autoscaler.py} | 0 .../swarms/{dialogue_simulator.py => test_dialogue_simulator.py} | 0 tests/swarms/{godmode.py => test_godmode.py} | 0 tests/swarms/{groupchat.py => test_groupchat.py} | 0 .../swarms/{multi_agent_collab.py => test_multi_agent_collab.py} | 0 .../swarms/{multi_agent_debate.py => test_multi_agent_debate.py} | 0 tests/swarms/{orchestrate.py => test_orchestrate.py} | 0 tests/swarms/{simple_swarm.py => test_simple_swarm.py} | 0 tests/tools/{base.py => test_base.py} | 0 ...ss_code_interpreter.py => test_subprocess_code_interpreter.py} | 0 53 files changed, 0 insertions(+), 0 deletions(-) rename tests/agents/{idea_to_image.py => test_idea_to_image.py} (100%) rename tests/agents/{omni_modal.py => test_omni_modal.py} (100%) rename tests/embeddings/{pegasus.py => test_pegasus.py} (100%) rename tests/memory/{main.py => test_main.py} (100%) rename tests/memory/{oceandb.py => test_oceandb.py} (100%) rename tests/memory/{pg.py => test_pg.py} (100%) rename tests/memory/{pinecone.py => test_pinecone.py} (100%) rename tests/models/{LLM.py => test_LLM.py} (100%) rename tests/models/{ada.py => test_ada.py} (100%) rename tests/models/{anthropic.py => test_anthropic.py} (100%) rename tests/models/{auto_temp.py => test_auto_temp.py} (100%) rename tests/models/{bingchat.py => test_bingchat.py} (100%) rename tests/models/{bioclip.py => test_bioclip.py} (100%) rename tests/models/{biogpt.py => test_biogpt.py} (100%) rename tests/models/{cohere.py => test_cohere.py} (100%) rename tests/models/{dalle3.py => test_dalle3.py} (100%) rename tests/models/{distill_whisper.py => test_distill_whisper.py} (100%) rename tests/models/{distilled_whisperx.py => test_distilled_whisperx.py} (100%) rename tests/models/{elevenlab.py => test_elevenlab.py} (100%) rename tests/models/{fuyu.py => test_fuyu.py} (100%) rename tests/models/{gpt4v.py => test_gpt4v.py} (100%) rename tests/models/{hf.py => test_hf.py} (100%) rename tests/models/{huggingface.py => test_huggingface.py} (100%) rename tests/models/{idefics.py => test_idefics.py} (100%) rename tests/models/{jina_embeds.py => test_jina_embeds.py} (100%) rename tests/models/{kosmos.py => test_kosmos.py} (100%) rename tests/models/{kosmos2.py => test_kosmos2.py} (100%) rename tests/models/{llama_function_caller.py => test_llama_function_caller.py} (100%) rename tests/models/{mistral.py => test_mistral.py} (100%) rename tests/models/{mpt7b.py => test_mpt7b.py} (100%) rename tests/models/{nougat.py => test_nougat.py} (100%) rename tests/models/{revgptv1.py => test_revgptv1.py} (100%) rename tests/models/{revgptv4.py => test_revgptv4.py} (100%) rename tests/models/{speech_t5.py => test_speech_t5.py} (100%) rename tests/models/{ssd_1b.py => test_ssd_1b.py} (100%) rename tests/models/{timm_model.py => test_timm_model.py} (100%) rename tests/models/{vilt.py => test_vilt.py} (100%) rename tests/models/{whisperx.py => test_whisperx.py} (100%) rename tests/models/{yi_200k.py => test_yi_200k.py} (100%) rename tests/structs/{flow.py => test_flow.py} (100%) rename tests/structs/{nonlinear_workflow.py => test_nonlinear_workflow.py} (100%) rename tests/structs/{sequential_workflow.py => test_sequential_workflow.py} (100%) rename tests/structs/{workflow.py => test_workflow.py} (100%) rename tests/swarms/{autoscaler.py => test_autoscaler.py} (100%) rename tests/swarms/{dialogue_simulator.py => test_dialogue_simulator.py} (100%) rename tests/swarms/{godmode.py => test_godmode.py} (100%) rename tests/swarms/{groupchat.py => test_groupchat.py} (100%) rename tests/swarms/{multi_agent_collab.py => test_multi_agent_collab.py} (100%) rename tests/swarms/{multi_agent_debate.py => test_multi_agent_debate.py} (100%) rename tests/swarms/{orchestrate.py => test_orchestrate.py} (100%) rename tests/swarms/{simple_swarm.py => test_simple_swarm.py} (100%) rename tests/tools/{base.py => test_base.py} (100%) rename tests/utils/{subprocess_code_interpreter.py => test_subprocess_code_interpreter.py} (100%) diff --git a/tests/agents/idea_to_image.py b/tests/agents/test_idea_to_image.py similarity index 100% rename from tests/agents/idea_to_image.py rename to tests/agents/test_idea_to_image.py diff --git a/tests/agents/omni_modal.py b/tests/agents/test_omni_modal.py similarity index 100% rename from tests/agents/omni_modal.py rename to tests/agents/test_omni_modal.py diff --git a/tests/embeddings/pegasus.py b/tests/embeddings/test_pegasus.py similarity index 100% rename from tests/embeddings/pegasus.py rename to tests/embeddings/test_pegasus.py diff --git a/tests/memory/main.py b/tests/memory/test_main.py similarity index 100% rename from tests/memory/main.py rename to tests/memory/test_main.py diff --git a/tests/memory/oceandb.py b/tests/memory/test_oceandb.py similarity index 100% rename from tests/memory/oceandb.py rename to tests/memory/test_oceandb.py diff --git a/tests/memory/pg.py b/tests/memory/test_pg.py similarity index 100% rename from tests/memory/pg.py rename to tests/memory/test_pg.py diff --git a/tests/memory/pinecone.py b/tests/memory/test_pinecone.py similarity index 100% rename from tests/memory/pinecone.py rename to tests/memory/test_pinecone.py diff --git a/tests/models/LLM.py b/tests/models/test_LLM.py similarity index 100% rename from tests/models/LLM.py rename to tests/models/test_LLM.py diff --git a/tests/models/ada.py b/tests/models/test_ada.py similarity index 100% rename from tests/models/ada.py rename to tests/models/test_ada.py diff --git a/tests/models/anthropic.py b/tests/models/test_anthropic.py similarity index 100% rename from tests/models/anthropic.py rename to tests/models/test_anthropic.py diff --git a/tests/models/auto_temp.py b/tests/models/test_auto_temp.py similarity index 100% rename from tests/models/auto_temp.py rename to tests/models/test_auto_temp.py diff --git a/tests/models/bingchat.py b/tests/models/test_bingchat.py similarity index 100% rename from tests/models/bingchat.py rename to tests/models/test_bingchat.py diff --git a/tests/models/bioclip.py b/tests/models/test_bioclip.py similarity index 100% rename from tests/models/bioclip.py rename to tests/models/test_bioclip.py diff --git a/tests/models/biogpt.py b/tests/models/test_biogpt.py similarity index 100% rename from tests/models/biogpt.py rename to tests/models/test_biogpt.py diff --git a/tests/models/cohere.py b/tests/models/test_cohere.py similarity index 100% rename from tests/models/cohere.py rename to tests/models/test_cohere.py diff --git a/tests/models/dalle3.py b/tests/models/test_dalle3.py similarity index 100% rename from tests/models/dalle3.py rename to tests/models/test_dalle3.py diff --git a/tests/models/distill_whisper.py b/tests/models/test_distill_whisper.py similarity index 100% rename from tests/models/distill_whisper.py rename to tests/models/test_distill_whisper.py diff --git a/tests/models/distilled_whisperx.py b/tests/models/test_distilled_whisperx.py similarity index 100% rename from tests/models/distilled_whisperx.py rename to tests/models/test_distilled_whisperx.py diff --git a/tests/models/elevenlab.py b/tests/models/test_elevenlab.py similarity index 100% rename from tests/models/elevenlab.py rename to tests/models/test_elevenlab.py diff --git a/tests/models/fuyu.py b/tests/models/test_fuyu.py similarity index 100% rename from tests/models/fuyu.py rename to tests/models/test_fuyu.py diff --git a/tests/models/gpt4v.py b/tests/models/test_gpt4v.py similarity index 100% rename from tests/models/gpt4v.py rename to tests/models/test_gpt4v.py diff --git a/tests/models/hf.py b/tests/models/test_hf.py similarity index 100% rename from tests/models/hf.py rename to tests/models/test_hf.py diff --git a/tests/models/huggingface.py b/tests/models/test_huggingface.py similarity index 100% rename from tests/models/huggingface.py rename to tests/models/test_huggingface.py diff --git a/tests/models/idefics.py b/tests/models/test_idefics.py similarity index 100% rename from tests/models/idefics.py rename to tests/models/test_idefics.py diff --git a/tests/models/jina_embeds.py b/tests/models/test_jina_embeds.py similarity index 100% rename from tests/models/jina_embeds.py rename to tests/models/test_jina_embeds.py diff --git a/tests/models/kosmos.py b/tests/models/test_kosmos.py similarity index 100% rename from tests/models/kosmos.py rename to tests/models/test_kosmos.py diff --git a/tests/models/kosmos2.py b/tests/models/test_kosmos2.py similarity index 100% rename from tests/models/kosmos2.py rename to tests/models/test_kosmos2.py diff --git a/tests/models/llama_function_caller.py b/tests/models/test_llama_function_caller.py similarity index 100% rename from tests/models/llama_function_caller.py rename to tests/models/test_llama_function_caller.py diff --git a/tests/models/mistral.py b/tests/models/test_mistral.py similarity index 100% rename from tests/models/mistral.py rename to tests/models/test_mistral.py diff --git a/tests/models/mpt7b.py b/tests/models/test_mpt7b.py similarity index 100% rename from tests/models/mpt7b.py rename to tests/models/test_mpt7b.py diff --git a/tests/models/nougat.py b/tests/models/test_nougat.py similarity index 100% rename from tests/models/nougat.py rename to tests/models/test_nougat.py diff --git a/tests/models/revgptv1.py b/tests/models/test_revgptv1.py similarity index 100% rename from tests/models/revgptv1.py rename to tests/models/test_revgptv1.py diff --git a/tests/models/revgptv4.py b/tests/models/test_revgptv4.py similarity index 100% rename from tests/models/revgptv4.py rename to tests/models/test_revgptv4.py diff --git a/tests/models/speech_t5.py b/tests/models/test_speech_t5.py similarity index 100% rename from tests/models/speech_t5.py rename to tests/models/test_speech_t5.py diff --git a/tests/models/ssd_1b.py b/tests/models/test_ssd_1b.py similarity index 100% rename from tests/models/ssd_1b.py rename to tests/models/test_ssd_1b.py diff --git a/tests/models/timm_model.py b/tests/models/test_timm_model.py similarity index 100% rename from tests/models/timm_model.py rename to tests/models/test_timm_model.py diff --git a/tests/models/vilt.py b/tests/models/test_vilt.py similarity index 100% rename from tests/models/vilt.py rename to tests/models/test_vilt.py diff --git a/tests/models/whisperx.py b/tests/models/test_whisperx.py similarity index 100% rename from tests/models/whisperx.py rename to tests/models/test_whisperx.py diff --git a/tests/models/yi_200k.py b/tests/models/test_yi_200k.py similarity index 100% rename from tests/models/yi_200k.py rename to tests/models/test_yi_200k.py diff --git a/tests/structs/flow.py b/tests/structs/test_flow.py similarity index 100% rename from tests/structs/flow.py rename to tests/structs/test_flow.py diff --git a/tests/structs/nonlinear_workflow.py b/tests/structs/test_nonlinear_workflow.py similarity index 100% rename from tests/structs/nonlinear_workflow.py rename to tests/structs/test_nonlinear_workflow.py diff --git a/tests/structs/sequential_workflow.py b/tests/structs/test_sequential_workflow.py similarity index 100% rename from tests/structs/sequential_workflow.py rename to tests/structs/test_sequential_workflow.py diff --git a/tests/structs/workflow.py b/tests/structs/test_workflow.py similarity index 100% rename from tests/structs/workflow.py rename to tests/structs/test_workflow.py diff --git a/tests/swarms/autoscaler.py b/tests/swarms/test_autoscaler.py similarity index 100% rename from tests/swarms/autoscaler.py rename to tests/swarms/test_autoscaler.py diff --git a/tests/swarms/dialogue_simulator.py b/tests/swarms/test_dialogue_simulator.py similarity index 100% rename from tests/swarms/dialogue_simulator.py rename to tests/swarms/test_dialogue_simulator.py diff --git a/tests/swarms/godmode.py b/tests/swarms/test_godmode.py similarity index 100% rename from tests/swarms/godmode.py rename to tests/swarms/test_godmode.py diff --git a/tests/swarms/groupchat.py b/tests/swarms/test_groupchat.py similarity index 100% rename from tests/swarms/groupchat.py rename to tests/swarms/test_groupchat.py diff --git a/tests/swarms/multi_agent_collab.py b/tests/swarms/test_multi_agent_collab.py similarity index 100% rename from tests/swarms/multi_agent_collab.py rename to tests/swarms/test_multi_agent_collab.py diff --git a/tests/swarms/multi_agent_debate.py b/tests/swarms/test_multi_agent_debate.py similarity index 100% rename from tests/swarms/multi_agent_debate.py rename to tests/swarms/test_multi_agent_debate.py diff --git a/tests/swarms/orchestrate.py b/tests/swarms/test_orchestrate.py similarity index 100% rename from tests/swarms/orchestrate.py rename to tests/swarms/test_orchestrate.py diff --git a/tests/swarms/simple_swarm.py b/tests/swarms/test_simple_swarm.py similarity index 100% rename from tests/swarms/simple_swarm.py rename to tests/swarms/test_simple_swarm.py diff --git a/tests/tools/base.py b/tests/tools/test_base.py similarity index 100% rename from tests/tools/base.py rename to tests/tools/test_base.py diff --git a/tests/utils/subprocess_code_interpreter.py b/tests/utils/test_subprocess_code_interpreter.py similarity index 100% rename from tests/utils/subprocess_code_interpreter.py rename to tests/utils/test_subprocess_code_interpreter.py From ed071e0058568e3f4e535362967490b481ebc425 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 11:33:10 -0800 Subject: [PATCH 03/47] positive med --- playground/demos/positive_med/positive_med.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/playground/demos/positive_med/positive_med.py b/playground/demos/positive_med/positive_med.py index ea0c7c4e..0463a9bc 100644 --- a/playground/demos/positive_med/positive_med.py +++ b/playground/demos/positive_med/positive_med.py @@ -21,7 +21,7 @@ Distribution Agent: """ from termcolor import colored from swarms.models import OpenAIChat -from swarms.prompts.autoblogen import ( +from swarms.prompts.autobloggen DRAFT_AGENT_SYSTEM_PROMPT, REVIEW_PROMPT, SOCIAL_MEDIA_SYSTEM_PROMPT_AGENT, From 14570d1c5f95714494f815cbc5d144cad0a89fb5 Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Fri, 24 Nov 2023 11:37:34 -0800 Subject: [PATCH 04/47] Update and rename blog_gen.py to blog_gen --- playground/demos/{blog_gen/blog_gen.py => autotemp/blog_gen} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename playground/demos/{blog_gen/blog_gen.py => autotemp/blog_gen} (99%) diff --git a/playground/demos/blog_gen/blog_gen.py b/playground/demos/autotemp/blog_gen similarity index 99% rename from playground/demos/blog_gen/blog_gen.py rename to playground/demos/autotemp/blog_gen index 84ab240d..85079f70 100644 --- a/playground/demos/blog_gen/blog_gen.py +++ b/playground/demos/autotemp/blog_gen @@ -1,7 +1,7 @@ import os from termcolor import colored from swarms.models import OpenAIChat -from swarms.models.autotemp import AutoTemp +from autotemp import AutoTemp from swarms.structs import SequentialWorkflow From cd82fa67bb81db3a94540fdb807f0d17714a7dfd Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Fri, 24 Nov 2023 11:37:56 -0800 Subject: [PATCH 05/47] Rename blog_gen to blog_gen.py --- playground/demos/autotemp/{blog_gen => blog_gen.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename playground/demos/autotemp/{blog_gen => blog_gen.py} (100%) diff --git a/playground/demos/autotemp/blog_gen b/playground/demos/autotemp/blog_gen.py similarity index 100% rename from playground/demos/autotemp/blog_gen rename to playground/demos/autotemp/blog_gen.py From 66b9ba090b42ac47266fbd39d6671344ae6e4243 Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Fri, 24 Nov 2023 11:38:31 -0800 Subject: [PATCH 06/47] Update and rename blog_gen_example.py to blog_gen_example.py --- playground/demos/{blog_gen => autotemp}/blog_gen_example.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename playground/demos/{blog_gen => autotemp}/blog_gen_example.py (92%) diff --git a/playground/demos/blog_gen/blog_gen_example.py b/playground/demos/autotemp/blog_gen_example.py similarity index 92% rename from playground/demos/blog_gen/blog_gen_example.py rename to playground/demos/autotemp/blog_gen_example.py index 7cf95535..2c2f1e24 100644 --- a/playground/demos/blog_gen/blog_gen_example.py +++ b/playground/demos/autotemp/blog_gen_example.py @@ -1,5 +1,5 @@ import os -from swarms.swarms.blog_gen import BlogGen +from blog_gen import BlogGen def main(): From ad3e8e79f6754efc5cb3b024400bbf3d88301132 Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Fri, 24 Nov 2023 11:38:59 -0800 Subject: [PATCH 07/47] Update autotemp_example.py --- playground/demos/autotemp/autotemp_example.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/playground/demos/autotemp/autotemp_example.py b/playground/demos/autotemp/autotemp_example.py index 9047268d..c5f86416 100644 --- a/playground/demos/autotemp/autotemp_example.py +++ b/playground/demos/autotemp/autotemp_example.py @@ -1,5 +1,5 @@ from swarms.models import OpenAIChat -from swarms.models.autotemp import AutoTemp +from autotemp import AutoTemp # Your OpenAI API key api_key = "" From 29b6c9bb9bf8aecb06cfe23124c7468382b6d3e8 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 12:47:55 -0800 Subject: [PATCH 08/47] positive med --- playground/demos/positive_med/positive_med.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/playground/demos/positive_med/positive_med.py b/playground/demos/positive_med/positive_med.py index 0463a9bc..c0652a7d 100644 --- a/playground/demos/positive_med/positive_med.py +++ b/playground/demos/positive_med/positive_med.py @@ -15,13 +15,14 @@ Distribution Agent: - Social Media posts for the article. # TODO +- Make prompts better - Add shorter and better topic generator prompt - Optimize writer prompt to create longer and more enjoyeable blogs - Use Local Models like Storywriter """ from termcolor import colored from swarms.models import OpenAIChat -from swarms.prompts.autobloggen +from swarms.prompts.autobloggen import ( DRAFT_AGENT_SYSTEM_PROMPT, REVIEW_PROMPT, SOCIAL_MEDIA_SYSTEM_PROMPT_AGENT, From 673b8ac956ec5f4310b036657c022180c1e7e337 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 12:54:44 -0800 Subject: [PATCH 09/47] prompt name fixes for positive med --- playground/demos/positive_med/positive_med.py | 8 ++++---- swarms/prompts/autobloggen.py | 4 +++- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/playground/demos/positive_med/positive_med.py b/playground/demos/positive_med/positive_med.py index c0652a7d..22411688 100644 --- a/playground/demos/positive_med/positive_med.py +++ b/playground/demos/positive_med/positive_med.py @@ -24,9 +24,9 @@ from termcolor import colored from swarms.models import OpenAIChat from swarms.prompts.autobloggen import ( DRAFT_AGENT_SYSTEM_PROMPT, - REVIEW_PROMPT, + AUTOBLOG_REVIEW_PROMPT, SOCIAL_MEDIA_SYSTEM_PROMPT_AGENT, - TOPIC_GENERATOR, + TOPIC_GENERATOR_SYSTEM_PROMPT, ) import os @@ -35,7 +35,7 @@ llm = OpenAIChat(openai_api_key=api_key) def get_review_prompt(article): - prompt = REVIEW_PROMPT.replace("{{ARTICLE}}", article) + prompt = AUTOBLOG_REVIEW_PROMPT.replace("{{ARTICLE}}", article) return prompt @@ -51,7 +51,7 @@ topic_selection_task = ( "Generate 10 topics on gaining mental clarity using ancient practices" ) topics = llm( - f"Your System Instructions: {TOPIC_GENERATOR}, Your current task:" + f"Your System Instructions: {TOPIC_GENERATOR_SYSTEM_PROMPT}, Your current task:" f" {topic_selection_task}" ) diff --git a/swarms/prompts/autobloggen.py b/swarms/prompts/autobloggen.py index 64001d1d..3cad09b2 100644 --- a/swarms/prompts/autobloggen.py +++ b/swarms/prompts/autobloggen.py @@ -1,4 +1,4 @@ -AUTOBLOG_GEN_GENERATOR = """ +TOPIC_GENERATOR_SYSTEM_PROMPT = """ First search for a list of topics on the web based their relevance to Positive Med's long term vision then rank than based on the goals this month, then output a single headline title for a blog for the next autonomous agent to write the blog, utilize the SOP below to help you strategically select topics. Output a single topic that will be the foundation for a blog. @@ -274,3 +274,5 @@ Check Accuracy: - Flag any bold claims that lack credible evidence for fact-checker review. """ + + From b554d1712d93a4fe49528e997d64cff3978a9bd6 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 14:23:46 -0800 Subject: [PATCH 10/47] positive_med demo; --- playground/demos/positive_med/positive_med.py | 6 ++++-- swarms/tools/tool.py | 2 +- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/playground/demos/positive_med/positive_med.py b/playground/demos/positive_med/positive_med.py index 22411688..6d3a076d 100644 --- a/playground/demos/positive_med/positive_med.py +++ b/playground/demos/positive_med/positive_med.py @@ -20,15 +20,17 @@ Distribution Agent: - Optimize writer prompt to create longer and more enjoyeable blogs - Use Local Models like Storywriter """ +import os + from termcolor import colored + from swarms.models import OpenAIChat from swarms.prompts.autobloggen import ( - DRAFT_AGENT_SYSTEM_PROMPT, AUTOBLOG_REVIEW_PROMPT, + DRAFT_AGENT_SYSTEM_PROMPT, SOCIAL_MEDIA_SYSTEM_PROMPT_AGENT, TOPIC_GENERATOR_SYSTEM_PROMPT, ) -import os api_key = os.environ["OPENAI_API_KEY"] llm = OpenAIChat(openai_api_key=api_key) diff --git a/swarms/tools/tool.py b/swarms/tools/tool.py index 8ae3b7cd..105a2541 100644 --- a/swarms/tools/tool.py +++ b/swarms/tools/tool.py @@ -118,7 +118,7 @@ class ToolException(Exception): class BaseTool(RunnableSerializable[Union[str, Dict], Any]): - """Interface LangChain tools must implement.""" + """Interface swarms tools must implement.""" def __init_subclass__(cls, **kwargs: Any) -> None: """Create the definition of the new tool class.""" From d88a31a75b3f3bef84a462171bae8f10d469fe20 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 14:44:17 -0800 Subject: [PATCH 11/47] clean up --- multi_agent_debate.py | 31 ------------------------------- 1 file changed, 31 deletions(-) delete mode 100644 multi_agent_debate.py diff --git a/multi_agent_debate.py b/multi_agent_debate.py deleted file mode 100644 index 2bc67c8c..00000000 --- a/multi_agent_debate.py +++ /dev/null @@ -1,31 +0,0 @@ -import os - -from dotenv import load_dotenv - -from swarms.models import OpenAIChat -from swarms.structs import Flow -from swarms.swarms.multi_agent_collab import MultiAgentCollaboration - -load_dotenv() - -api_key = os.environ.get("OPENAI_API_KEY") - -# Initialize the language model -llm = OpenAIChat( - temperature=0.5, - openai_api_key=api_key, -) - - -## Initialize the workflow -flow = Flow(llm=llm, max_loops=1, dashboard=True) -flow2 = Flow(llm=llm, max_loops=1, dashboard=True) -flow3 = Flow(llm=llm, max_loops=1, dashboard=True) - - -swarm = MultiAgentCollaboration( - agents=[flow, flow2, flow3], - max_iters=4, -) - -swarm.run("Generate a 10,000 word blog on health and wellness.") From ee1ac007d09855ff48497b51c84a7d01a4ccc801 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 15:24:32 -0800 Subject: [PATCH 12/47] nougat fix --- playground/models/nougat.py | 2 +- swarms/models/nougat.py | 18 +++++++++++------- 2 files changed, 12 insertions(+), 8 deletions(-) diff --git a/playground/models/nougat.py b/playground/models/nougat.py index 198fee38..97e1f1a3 100644 --- a/playground/models/nougat.py +++ b/playground/models/nougat.py @@ -2,4 +2,4 @@ from swarms.models.nougat import Nougat nougat = Nougat() -out = nougat("path/to/image.png") +out = nougat("large.png") diff --git a/swarms/models/nougat.py b/swarms/models/nougat.py index 82bb95f5..0eceb362 100644 --- a/swarms/models/nougat.py +++ b/swarms/models/nougat.py @@ -18,7 +18,7 @@ class Nougat: """ Nougat - ArgsS: + Args: model_name_or_path: str, default="facebook/nougat-base" min_length: int, default=1 max_new_tokens: int, default=30 @@ -35,7 +35,7 @@ class Nougat: self, model_name_or_path="facebook/nougat-base", min_length: int = 1, - max_new_tokens: int = 30, + max_new_tokens: int = 5000, ): self.model_name_or_path = model_name_or_path self.min_length = min_length @@ -50,14 +50,17 @@ class Nougat: self.device = "cuda" if torch.cuda.is_available() else "cpu" self.model.to(self.device) - def get_image(self, img_path: str): + def get_image(self, img: str): """Get an image from a path""" - image = Image.open(img_path) - return image + img = Image.open(img) - def __call__(self, img_path: str): + if img.mode == "L": + img = img.convert("RGB") + return img + + def __call__(self, img: str): """Call the model with an image_path str as an input""" - image = Image.open(img_path) + image = Image.open(img) pixel_values = self.processor(image, return_tensors="pt").pixel_values # Generate transcriptions, here we only generate 30 tokens @@ -78,6 +81,7 @@ class Nougat: return out def clean_nougat_output(raw_output): + """Clean the output from nougat to be more readable""" # Define the pattern to extract the relevant data daily_balance_pattern = ( r"\*\*(\d{2}/\d{2}/\d{4})\*\*\n\n\*\*([\d,]+\.\d{2})\*\*" From 399099ef67082effc02ad807c587d7fcfd2f716f Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 15:48:51 -0800 Subject: [PATCH 13/47] dockerfile --- tests/Dockerfile | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/Dockerfile b/tests/Dockerfile index b36c8d25..4bec42c1 100644 --- a/tests/Dockerfile +++ b/tests/Dockerfile @@ -21,7 +21,6 @@ RUN pip install poetry # Disable virtualenv creation by poetry and install dependencies RUN poetry config virtualenvs.create false -RUN poetry install --no-interaction --no-ansi # Install the 'swarms' package if it's not included in the poetry.lock RUN pip install swarms From 78b46efc94c6cf9ddd3f501e688cd39e3a235b07 Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Fri, 24 Nov 2023 17:30:57 -0700 Subject: [PATCH 14/47] cicd, yamllint --- .flake8 | 2 +- .github/FUNDING.yml | 21 +-- .github/dependabot.yml | 2 +- .github/labeler.yml | 8 +- .github/workflows/code_quality_control.yml | 30 ---- .github/workflows/cos_integration.yml | 42 ----- .github/workflows/docker-image.yml | 15 +- .github/workflows/docs_test.yml | 28 ---- .../generator-generic-ossf-slsa3-publish.yml | 66 -------- .github/workflows/lint.yml | 24 ++- .github/workflows/lints.yml | 25 --- .github/workflows/makefile.yml | 27 --- .github/workflows/pr_request_checks.yml | 3 +- .github/workflows/pylint.yml | 23 --- .github/workflows/pyre.yml | 46 ----- .github/workflows/python-app.yml | 39 ----- .github/workflows/python-publish.yml | 8 +- .github/workflows/quality.yml | 23 --- .github/workflows/ruff.yml | 8 - .github/workflows/run_test.yml | 23 --- .github/workflows/test.yml | 63 ++++++- .readthedocs.yml | 3 +- .yamllint | 4 + mkdocs.yml | 157 +++++++++--------- 24 files changed, 196 insertions(+), 494 deletions(-) delete mode 100644 .github/workflows/code_quality_control.yml delete mode 100644 .github/workflows/cos_integration.yml delete mode 100644 .github/workflows/docs_test.yml delete mode 100644 .github/workflows/generator-generic-ossf-slsa3-publish.yml delete mode 100644 .github/workflows/lints.yml delete mode 100644 .github/workflows/makefile.yml delete mode 100644 .github/workflows/pylint.yml delete mode 100644 .github/workflows/pyre.yml delete mode 100644 .github/workflows/python-app.yml delete mode 100644 .github/workflows/quality.yml delete mode 100644 .github/workflows/ruff.yml delete mode 100644 .github/workflows/run_test.yml create mode 100644 .yamllint diff --git a/.flake8 b/.flake8 index d148ed3e..eedac54c 100644 --- a/.flake8 +++ b/.flake8 @@ -1,2 +1,2 @@ [flake8] -extend-ignore = E501, W292, W291 \ No newline at end of file +extend-ignore = E501, W292, W291, W293 diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml index c626b001..e3733b98 100644 --- a/.github/FUNDING.yml +++ b/.github/FUNDING.yml @@ -1,13 +1,14 @@ +--- # These are supported funding model platforms github: [kyegomez] -patreon: # Replace with a single Patreon username -open_collective: # Replace with a single Open Collective username -ko_fi: # Replace with a single Ko-fi username -tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel -community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry -liberapay: # Replace with a single Liberapay username -issuehunt: # Replace with a single IssueHunt username -otechie: # Replace with a single Otechie username -lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry -custom: #Nothing +# patreon: # Replace with a single Patreon username +# open_collective: # Replace with a single Open Collective username +# ko_fi: # Replace with a single Ko-fi username +# tidelift: # Replace with a single Tidelift platform-name/package-name +# community_bridge: # Replace with a single Community Bridge project-name +# liberapay: # Replace with a single Liberapay username +# issuehunt: # Replace with a single IssueHunt username +# otechie: # Replace with a single Otechie username +# lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name +# custom: #Nothing diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 34b75fb9..b523994a 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -1,3 +1,4 @@ +--- # https://docs.github.com/en/code-security/supply-chain-security/keeping-your-dependencies-updated-automatically/configuration-options-for-dependency-updates version: 2 @@ -11,4 +12,3 @@ updates: directory: "/" schedule: interval: "weekly" - diff --git a/.github/labeler.yml b/.github/labeler.yml index 72ccc40a..1fb9d7ec 100644 --- a/.github/labeler.yml +++ b/.github/labeler.yml @@ -1,12 +1,14 @@ +--- # this is a config file for the github action labeler # Add 'label1' to any changes within 'example' folder or any subfolders example_change: -- example/** + - example/** # Add 'label2' to any file changes within 'example2' folder example2_change: example2/* -# Add label3 to any change to .txt files within the entire repository. Quotation marks are required for the leading asterisk +# Add label3 to any change to .txt files within the entire repository. +# Quotation marks are required for the leading asterisk text_files: -- '**/*.txt' \ No newline at end of file + - '**/*.txt' diff --git a/.github/workflows/code_quality_control.yml b/.github/workflows/code_quality_control.yml deleted file mode 100644 index a0a49572..00000000 --- a/.github/workflows/code_quality_control.yml +++ /dev/null @@ -1,30 +0,0 @@ -name: Linting and Formatting - -on: - push: - branches: - - master - -jobs: - lint_and_format: - runs-on: ubuntu-latest - - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.x - - - name: Install dependencies - run: pip install -r requirements.txt - - - name: Find Python files - run: find swarms -name "*.py" -type f -exec autopep8 --in-place --aggressive --aggressive {} + - - - name: Push changes - uses: ad-m/github-push-action@master - with: - github_token: ${{ secrets.GITHUB_TOKEN }} \ No newline at end of file diff --git a/.github/workflows/cos_integration.yml b/.github/workflows/cos_integration.yml deleted file mode 100644 index 3bfb587c..00000000 --- a/.github/workflows/cos_integration.yml +++ /dev/null @@ -1,42 +0,0 @@ -name: Continuous Integration - -on: - push: - branches: - - master - -jobs: - test: - runs-on: ubuntu-latest - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.x - - - name: Install dependencies - run: pip install -r requirements.txt - - - name: Run unit tests - run: pytest tests/unit - - - name: Run integration tests - run: pytest tests/integration - - - name: Run code coverage - run: pytest --cov=swarms tests/ - - - name: Run linters - run: pylint swarms - - - name: Build documentation - run: make docs - - - name: Validate documentation - run: sphinx-build -b linkcheck docs build/docs - - - name: Run performance tests - run: find ./tests -name '*.py' -exec pytest {} \; \ No newline at end of file diff --git a/.github/workflows/docker-image.yml b/.github/workflows/docker-image.yml index 793d8e0e..6ed5bcba 100644 --- a/.github/workflows/docker-image.yml +++ b/.github/workflows/docker-image.yml @@ -1,18 +1,19 @@ +--- name: Docker Image CI -on: +on: # yamllint disable-line rule:truthy push: - branches: [ "master" ] + branches: ["master"] pull_request: - branches: [ "master" ] + branches: ["master"] jobs: build: runs-on: ubuntu-latest - + name: Build Docker image steps: - - uses: actions/checkout@v4 - - name: Build the Docker image - run: docker build . --file Dockerfile --tag my-image-name:$(date +%s) + - uses: actions/checkout@v4 + - name: Build the Docker image + run: docker build . --file Dockerfile --tag my-image-name:$(date +%s) diff --git a/.github/workflows/docs_test.yml b/.github/workflows/docs_test.yml deleted file mode 100644 index 35d2ca91..00000000 --- a/.github/workflows/docs_test.yml +++ /dev/null @@ -1,28 +0,0 @@ -name: Documentation Tests - -on: - push: - branches: - - master - -jobs: - test: - runs-on: ubuntu-latest - - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.x - - - name: Install dependencies - run: pip install -r requirements.txt - - - name: Build documentation - run: make docs - - - name: Validate documentation - run: sphinx-build -b linkcheck docs build/docs \ No newline at end of file diff --git a/.github/workflows/generator-generic-ossf-slsa3-publish.yml b/.github/workflows/generator-generic-ossf-slsa3-publish.yml deleted file mode 100644 index a36e782c..00000000 --- a/.github/workflows/generator-generic-ossf-slsa3-publish.yml +++ /dev/null @@ -1,66 +0,0 @@ -# This workflow uses actions that are not certified by GitHub. -# They are provided by a third-party and are governed by -# separate terms of service, privacy policy, and support -# documentation. - -# This workflow lets you generate SLSA provenance file for your project. -# The generation satisfies level 3 for the provenance requirements - see https://slsa.dev/spec/v0.1/requirements -# The project is an initiative of the OpenSSF (openssf.org) and is developed at -# https://github.com/slsa-framework/slsa-github-generator. -# The provenance file can be verified using https://github.com/slsa-framework/slsa-verifier. -# For more information about SLSA and how it improves the supply-chain, visit slsa.dev. - -name: SLSA generic generator -on: - workflow_dispatch: - release: - types: [created] - -jobs: - build: - runs-on: ubuntu-latest - outputs: - digests: ${{ steps.hash.outputs.digests }} - - steps: - - uses: actions/checkout@v3 - - # ======================================================== - # - # Step 1: Build your artifacts. - # - # ======================================================== - - name: Build artifacts - run: | - # These are some amazing artifacts. - echo "artifact1" > artifact1 - echo "artifact2" > artifact2 - - # ======================================================== - # - # Step 2: Add a step to generate the provenance subjects - # as shown below. Update the sha256 sum arguments - # to include all binaries that you generate - # provenance for. - # - # ======================================================== - - name: Generate subject for provenance - id: hash - run: | - set -euo pipefail - - # List the artifacts the provenance will refer to. - files=$(ls artifact*) - # Generate the subjects (base64 encoded). - echo "hashes=$(sha256sum $files | base64 -w0)" >> "${GITHUB_OUTPUT}" - - provenance: - needs: [build] - permissions: - actions: read # To read the workflow path. - id-token: write # To sign the provenance. - contents: write # To add assets to a release. - uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v1.4.0 - with: - base64-subjects: "${{ needs.build.outputs.digests }}" - upload-assets: true # Optional: Upload to a new release diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 97aa4732..8a6f374c 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -1,19 +1,29 @@ +--- # This is a basic workflow to help you get started with Actions name: Lint -on: [push, pull_request] +on: [push, pull_request] # yamllint disable-line rule:truthy jobs: + yaml-lint: + runs-on: ubuntu-latest + steps: + - name: Check out source repository + uses: actions/checkout@v4 + - name: yaml Lint + uses: ibiqlik/action-yamllint@v3 flake8-lint: runs-on: ubuntu-latest - name: Lint + name: flake8 Lint steps: - name: Check out source repository uses: actions/checkout@v4 - name: Set up Python environment - uses: actions/setup-python@v4 - with: - python-version: "3.11" - - name: flake8 Lint - uses: py-actions/flake8@v2 \ No newline at end of file + uses: py-actions/flake8@v2 + ruff-lint: + runs-on: ubuntu-latest + name: ruff Lint + steps: + - uses: actions/checkout@v4 + - uses: chartboost/ruff-action@v1 diff --git a/.github/workflows/lints.yml b/.github/workflows/lints.yml deleted file mode 100644 index 216903d5..00000000 --- a/.github/workflows/lints.yml +++ /dev/null @@ -1,25 +0,0 @@ -name: Linting - -on: - push: - branches: - - master - -jobs: - lint: - runs-on: ubuntu-latest - - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.x - - - name: Install dependencies - run: pip install -r requirements.txt - - - name: Run linters - run: pylint swarms \ No newline at end of file diff --git a/.github/workflows/makefile.yml b/.github/workflows/makefile.yml deleted file mode 100644 index ab01451f..00000000 --- a/.github/workflows/makefile.yml +++ /dev/null @@ -1,27 +0,0 @@ -name: Makefile CI - -on: - push: - branches: [ "master" ] - pull_request: - branches: [ "master" ] - -jobs: - build: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v3 - - - name: configure - run: ./configure - - - name: Install dependencies - run: make - - - name: Run check - run: make check - - - name: Run distcheck - run: make distcheck diff --git a/.github/workflows/pr_request_checks.yml b/.github/workflows/pr_request_checks.yml index 56b8c1f7..ad7b691f 100644 --- a/.github/workflows/pr_request_checks.yml +++ b/.github/workflows/pr_request_checks.yml @@ -1,3 +1,4 @@ +--- name: Pull Request Checks on: @@ -24,4 +25,4 @@ jobs: - name: Run tests and checks run: | find tests/ -name "*.py" | xargs pytest - pylint swarms \ No newline at end of file + pylint swarms diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml deleted file mode 100644 index 3f3ba2e2..00000000 --- a/.github/workflows/pylint.yml +++ /dev/null @@ -1,23 +0,0 @@ -name: Pylint - -on: [push] - -jobs: - build: - runs-on: ubuntu-latest - strategy: - matrix: - python-version: ["3.8", "3.9", "3.10"] - steps: - - uses: actions/checkout@v4 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install pylint - - name: Analysing the code with pylint - run: | - pylint $(git ls-files '*.py') diff --git a/.github/workflows/pyre.yml b/.github/workflows/pyre.yml deleted file mode 100644 index 5ff88856..00000000 --- a/.github/workflows/pyre.yml +++ /dev/null @@ -1,46 +0,0 @@ -# This workflow uses actions that are not certified by GitHub. -# They are provided by a third-party and are governed by -# separate terms of service, privacy policy, and support -# documentation. - -# This workflow integrates Pyre with GitHub's -# Code Scanning feature. -# -# Pyre is a performant type checker for Python compliant with -# PEP 484. Pyre can analyze codebases with millions of lines -# of code incrementally – providing instantaneous feedback -# to developers as they write code. -# -# See https://pyre-check.org - -name: Pyre - -on: - workflow_dispatch: - push: - branches: [ "master" ] - pull_request: - branches: [ "master" ] - -permissions: - contents: read - -jobs: - pyre: - permissions: - actions: read - contents: read - security-events: write - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - with: - submodules: true - - - name: Run Pyre - uses: facebook/pyre-action@60697a7858f7cc8470d8cc494a3cf2ad6b06560d - with: - # To customize these inputs: - # See https://github.com/facebook/pyre-action#inputs - repo-directory: './' - requirements-path: 'requirements.txt' diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml deleted file mode 100644 index 1f634309..00000000 --- a/.github/workflows/python-app.yml +++ /dev/null @@ -1,39 +0,0 @@ -# This workflow will install Python dependencies, run tests and lint with a single version of Python -# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python - -name: Python application - -on: - push: - branches: [ "master" ] - pull_request: - branches: [ "master" ] - -permissions: - contents: read - -jobs: - build: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v4 - - name: Set up Python 3.10 - uses: actions/setup-python@v4 - with: - python-version: "3.10" - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install flake8 pytest - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - - name: Lint with flake8 - run: | - # stop the build if there are Python syntax errors or undefined names - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics - # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide - flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - - name: Test with pytest - run: | - pytest diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index c8f4ba0c..66beff23 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -1,7 +1,7 @@ - +--- name: Upload Python Package -on: +on: # yamllint disable-line rule:truthy release: types: [published] @@ -13,7 +13,7 @@ jobs: runs-on: ubuntu-latest - steps: + steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v4 @@ -29,4 +29,4 @@ jobs: uses: pypa/gh-action-pypi-publish@b7f401de30cb6434a1e19f805ff006643653240e with: user: __token__ - password: ${{ secrets.PYPI_API_TOKEN }} \ No newline at end of file + password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml deleted file mode 100644 index 9b09cfa9..00000000 --- a/.github/workflows/quality.yml +++ /dev/null @@ -1,23 +0,0 @@ -name: Quality - -on: - push: - branches: [ "master" ] - pull_request: - branches: [ "master" ] - -jobs: - lint: - runs-on: ubuntu-latest - strategy: - fail-fast: false - steps: - - name: Checkout actions - uses: actions/checkout@v4 - with: - fetch-depth: 0 - - name: Init environment - uses: ./.github/actions/init-environment - - name: Run linter - run: | - pylint `git diff --name-only --diff-filter=d origin/master HEAD | grep -E '\.py$' | tr '\n' ' '` \ No newline at end of file diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml deleted file mode 100644 index ef06d34a..00000000 --- a/.github/workflows/ruff.yml +++ /dev/null @@ -1,8 +0,0 @@ -name: Ruff -on: [ push, pull_request ] -jobs: - ruff: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - uses: chartboost/ruff-action@v1 diff --git a/.github/workflows/run_test.yml b/.github/workflows/run_test.yml deleted file mode 100644 index 172dc64b..00000000 --- a/.github/workflows/run_test.yml +++ /dev/null @@ -1,23 +0,0 @@ -name: Python application test - -on: [push] - -jobs: - build: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v4 - - name: Set up Python 3.8 - uses: actions/setup-python@v4 - with: - python-version: 3.8 - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install pytest - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - - name: Run tests with pytest - run: | - find tests/ -name "*.py" | xargs pytest diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 65dc68d9..d9dafc76 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -1,3 +1,4 @@ +--- name: test on: @@ -9,7 +10,67 @@ on: env: POETRY_VERSION: "1.4.2" -jobs: + test: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: + - "3.8" + - "3.9" + - "3.10" + - "3.11" + test_type: + - "core" + - "extended" + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: "snok/install-poetry@v1" + with: + python-version: ${{ matrix.python-version }} + poetry-version: "1.4.2" + cache-key: ${{ matrix.test_type }} + install-command: | + if [ "${{ matrix.test_type }}" == "core" ]; then + echo "Running core tests, installing dependencies with poetry..." + poetry install + else + echo "Running extended tests, installing dependencies with poetry..." + poetry install -E extended_testing + fi + - name: Run ${{matrix.test_type}} tests + run: | + if [ "${{ matrix.test_type }}" == "core" ]; then + make test + else + make extended_tests + fi + shell: bash + name: Python ${{ matrix.python-version }} ${{ matrix.test_type }} + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: "./.github/actions/poetry_setup" + with: + python-version: ${{ matrix.python-version }} + poetry-version: "1.4.2" + cache-key: ${{ matrix.test_type }} + install-command: | + if [ "${{ matrix.test_type }}" == "core" ]; then + echo "Running core tests, installing dependencies with poetry..." + poetry install + else + echo "Running extended tests, installing dependencies with poetry..." + poetry install -E extended_testing + fi + - name: Run ${{matrix.test_type}} tests + run: | + if [ "${{ matrix.test_type }}" == "core" ]; then + make test + else + make extended_tests + fi + shell: bash build: runs-on: ubuntu-latest strategy: diff --git a/.readthedocs.yml b/.readthedocs.yml index fbdc74ec..1c969083 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -1,3 +1,4 @@ +--- version: 2 build: @@ -10,4 +11,4 @@ mkdocs: python: install: - - requirements: requirements.txt \ No newline at end of file + - requirements: requirements.txt diff --git a/.yamllint b/.yamllint new file mode 100644 index 00000000..c58fcd8f --- /dev/null +++ b/.yamllint @@ -0,0 +1,4 @@ +rules: + line-length: + level: warning + allow-non-breakable-inline-mappings: true \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index e70e1a39..8616cc2f 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -1,3 +1,4 @@ +--- site_name: Swarms Docs plugins: - glightbox @@ -19,15 +20,15 @@ extra: - icon: fontawesome/brands/python link: https://pypi.org/project/Swarms/ theme: - name: material - custom_dir: docs/overrides - logo: assets/img/SwarmsLogoIcon.png - palette: - # Palette toggle for light mode + name: material + custom_dir: docs/overrides + logo: assets/img/SwarmsLogoIcon.png + palette: + # Palette toggle for light mode - scheme: default primary: black toggle: - icon: material/brightness-7 + icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - scheme: slate @@ -35,14 +36,14 @@ theme: toggle: icon: material/brightness-4 name: Switch to light mode - features: - - content.code.copy - - content.code.annotate - - navigation.tabs - - navigation.sections - - navigation.expand - - navigation.top - - announce.dismiss + features: + - content.code.copy + - content.code.annotate + - navigation.tabs + - navigation.sections + - navigation.expand + - navigation.top + - announce.dismiss markdown_extensions: - pymdownx.highlight: anchor_linenums: true @@ -58,25 +59,25 @@ markdown_extensions: - def_list - footnotes nav: -- Home: - - Overview: "index.md" - - Contributing: "contributing.md" - - Docker Container Setup: "docker_setup.md" -- Swarms: - - Overview: "swarms/index.md" + - Home: + - Overview: "index.md" + - Contributing: "contributing.md" + - Docker Container Setup: "docker_setup.md" + - Swarms: + - Overview: "swarms/index.md" - swarms.swarms: - - AbstractSwarm: "swarms/swarms/abstractswarm.md" - - GodMode: "swarms/swarms/godmode.md" - - Groupchat: "swarms/swarms/groupchat.md" + - AbstractSwarm: "swarms/swarms/abstractswarm.md" + - GodMode: "swarms/swarms/godmode.md" + - Groupchat: "swarms/swarms/groupchat.md" - swarms.workers: - - Overview: "swarms/workers/index.md" - - AbstractWorker: "swarms/workers/abstract_worker.md" + - Overview: "swarms/workers/index.md" + - AbstractWorker: "swarms/workers/abstract_worker.md" - swarms.agents: - - AbstractAgent: "swarms/agents/abstract_agent.md" - - OmniModalAgent: "swarms/agents/omni_agent.md" + - AbstractAgent: "swarms/agents/abstract_agent.md" + - OmniModalAgent: "swarms/agents/omni_agent.md" - swarms.models: - - Language: - - Overview: "swarms/models/index.md" + - Language: + - Overview: "swarms/models/index.md" - HuggingFaceLLM: "swarms/models/huggingface.md" - Anthropic: "swarms/models/anthropic.md" - OpenAI: "swarms/models/openai.md" @@ -84,54 +85,54 @@ nav: - BioGPT: "swarms/models/biogpt.md" - MPT7B: "swarms/models/mpt.md" - Mistral: "swarms/models/mistral.md" - - MultiModal: - - Fuyu: "swarms/models/fuyu.md" - - Vilt: "swarms/models/vilt.md" - - Idefics: "swarms/models/idefics.md" - - BingChat: "swarms/models/bingchat.md" - - Kosmos: "swarms/models/kosmos.md" - - Nougat: "swarms/models/nougat.md" - - Dalle3: "swarms/models/dalle3.md" - - GPT4V: "swarms/models/gpt4v.md" - - LayoutLMDocumentQA: "swarms/models/layoutlm_document_qa.md" - - DistilWhisperModel: "swarms/models/distilled_whisperx.md" - - ElevenLabsText2SpeechTool: "swarms/models/elevenlabs.md" + - MultiModal: + - Fuyu: "swarms/models/fuyu.md" + - Vilt: "swarms/models/vilt.md" + - Idefics: "swarms/models/idefics.md" + - BingChat: "swarms/models/bingchat.md" + - Kosmos: "swarms/models/kosmos.md" + - Nougat: "swarms/models/nougat.md" + - Dalle3: "swarms/models/dalle3.md" + - GPT4V: "swarms/models/gpt4v.md" + - LayoutLMDocumentQA: "swarms/models/layoutlm_document_qa.md" + - DistilWhisperModel: "swarms/models/distilled_whisperx.md" + - ElevenLabsText2SpeechTool: "swarms/models/elevenlabs.md" - swarms.structs: - - Overview: "swarms/structs/overview.md" - - AutoScaler: "swarms/swarms/autoscaler.md" - - Flow: "swarms/structs/flow.md" - - SequentialWorkflow: 'swarms/structs/sequential_workflow.md' + - Overview: "swarms/structs/overview.md" + - AutoScaler: "swarms/swarms/autoscaler.md" + - Flow: "swarms/structs/flow.md" + - SequentialWorkflow: 'swarms/structs/sequential_workflow.md' - swarms.memory: - - PineconeVectorStoreStore: "swarms/memory/pinecone.md" - - PGVectorStore: "swarms/memory/pg.md" - # - swarms.chunkers: - # - BaseChunker: "swarms/chunkers/basechunker.md" - # - PdfChunker: "swarms/chunkers/pdf_chunker.md" -- Guides: - - Overview: "examples/index.md" - - Agents: - - Flow: "examples/flow.md" - - SequentialWorkflow: "examples/reliable_autonomous_agents.md" - - OmniAgent: "examples/omni_agent.md" - - 2O+ Autonomous Agent Blogs: "examples/ideas.md" -- Applications: - - CustomerSupport: - - Overview: "applications/customer_support.md" - - Marketing: - - Overview: "applications/marketing_agencies.md" -- Corporate: - - FAQ: "corporate/faq.md" - - Purpose: "corporate/purpose.md" - - Roadmap: "corporate/roadmap.md" - - Weaknesses: "corporate/failures.md" - - Design: "corporate/design.md" - - Flywheel: "corporate/flywheel.md" - - Bounties: "corporate/bounties.md" - - Metric: "corporate/metric.md" - - Distribution: "corporate/distribution" - - Research: "corporate/research.md" - - Demos: "corporate/demos.md" - - Architecture: "corporate/architecture.md" - - Checklist: "corporate/checklist.md" - - Hiring: "corporate/hiring.md" - - SwarmCloud: "corporate/swarm_cloud.md" + - PineconeVectorStoreStore: "swarms/memory/pinecone.md" + - PGVectorStore: "swarms/memory/pg.md" +# - swarms.chunkers: +# - BaseChunker: "swarms/chunkers/basechunker.md" +# - PdfChunker: "swarms/chunkers/pdf_chunker.md" + - Guides: + - Overview: "examples/index.md" + - Agents: + - Flow: "examples/flow.md" + - SequentialWorkflow: "examples/reliable_autonomous_agents.md" + - OmniAgent: "examples/omni_agent.md" + - 2O+ Autonomous Agent Blogs: "examples/ideas.md" + - Applications: + - CustomerSupport: + - Overview: "applications/customer_support.md" + - Marketing: + - Overview: "applications/marketing_agencies.md" + - Corporate: + - FAQ: "corporate/faq.md" + - Purpose: "corporate/purpose.md" + - Roadmap: "corporate/roadmap.md" + - Weaknesses: "corporate/failures.md" + - Design: "corporate/design.md" + - Flywheel: "corporate/flywheel.md" + - Bounties: "corporate/bounties.md" + - Metric: "corporate/metric.md" + - Distribution: "corporate/distribution" + - Research: "corporate/research.md" + - Demos: "corporate/demos.md" + - Architecture: "corporate/architecture.md" + - Checklist: "corporate/checklist.md" + - Hiring: "corporate/hiring.md" + - SwarmCloud: "corporate/swarm_cloud.md" From 9c3a292938d53a0ff462d4bfb3d477f4c005dea3 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 16:56:05 -0800 Subject: [PATCH 15/47] gpt4vision api --- multi_modal_auto_agent.py | 17 +++ .../multi_modal_auto_agent.py | 33 ----- swarms/models/__init__.py | 4 + swarms/models/gpt4_vision_api.py | 127 ++++++++++++++++++ swarms/structs/flow.py | 17 ++- 5 files changed, 160 insertions(+), 38 deletions(-) create mode 100644 multi_modal_auto_agent.py delete mode 100644 playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py create mode 100644 swarms/models/gpt4_vision_api.py diff --git a/multi_modal_auto_agent.py b/multi_modal_auto_agent.py new file mode 100644 index 00000000..5d27dc42 --- /dev/null +++ b/multi_modal_auto_agent.py @@ -0,0 +1,17 @@ +from swarms.structs import Flow +from swarms.models.gpt4_vision_api import GPT4VisionAPI + + +llm = GPT4VisionAPI() + +task = "What is the color of the object?" +img = "images/swarms.jpeg" + +## Initialize the workflow +flow = Flow( + llm=llm, + max_loops='auto', + dashboard=True, +) + +flow.run(task=task, img=img) \ No newline at end of file diff --git a/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py b/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py deleted file mode 100644 index a2602706..00000000 --- a/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py +++ /dev/null @@ -1,33 +0,0 @@ -from swarms.structs import Flow -from swarms.models import Idefics - -# Multi Modality Auto Agent -llm = Idefics(max_length=2000) - -task = ( - "User: What is in this image?" - " https://upload.wikimedia.org/wikipedia/commons/8/86/Id%C3%A9fix.JPG" -) - -## Initialize the workflow -flow = Flow( - llm=llm, - max_loops=2, - dashboard=True, - # stopping_condition=None, # You can define a stopping condition as needed. - # loop_interval=1, - # retry_attempts=3, - # retry_interval=1, - # interactive=False, # Set to 'True' for interactive mode. - # dynamic_temperature=False, # Set to 'True' for dynamic temperature handling. -) - -# out = flow.load_state("flow_state.json") -# temp = flow.dynamic_temperature() -# filter = flow.add_response_filter("Trump") -out = flow.run(task) -# out = flow.validate_response(out) -# out = flow.analyze_feedback(out) -# out = flow.print_history_and_memory() -# # out = flow.save_state("flow_state.json") -# print(out) diff --git a/swarms/models/__init__.py b/swarms/models/__init__.py index 10bf2fab..aa1da8f7 100644 --- a/swarms/models/__init__.py +++ b/swarms/models/__init__.py @@ -25,6 +25,7 @@ from swarms.models.idefics import Idefics # noqa: E402 from swarms.models.vilt import Vilt # noqa: E402 from swarms.models.nougat import Nougat # noqa: E402 from swarms.models.layoutlm_document_qa import LayoutLMDocumentQA # noqa: E402 +from swarms.models.gpt4_vision_api import GPT4VisionAPI # noqa: E40 # from swarms.models.gpt4v import GPT4Vision # from swarms.models.dalle3 import Dalle3 @@ -49,4 +50,7 @@ __all__ = [ "WizardLLMStoryTeller", # "GPT4Vision", # "Dalle3", + # "DistilWhisperModel", + "GPT4VisionAPI", + ] diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py new file mode 100644 index 00000000..05736261 --- /dev/null +++ b/swarms/models/gpt4_vision_api.py @@ -0,0 +1,127 @@ +import base64 +import os +import requests +from dotenv import load_dotenv + +# Load environment variables +load_dotenv() +openai_api_key = os.getenv("OPENAI_API_KEY") + +class GPT4VisionAPI: + """ + GPT-4 Vision API + + This class is a wrapper for the OpenAI API. It is used to run the GPT-4 Vision model. + + Parameters + ---------- + openai_api_key : str + The OpenAI API key. Defaults to the OPENAI_API_KEY environment variable. + + Methods + ------- + encode_image(img: str) + Encode image to base64. + run(task: str, img: str) + Run the model. + __call__(task: str, img: str) + Run the model. + + Examples: + --------- + >>> from swarms.models import GPT4VisionAPI + >>> llm = GPT4VisionAPI() + >>> task = "What is the color of the object?" + >>> img = "https://i.imgur.com/2M2ZGwC.jpeg" + >>> llm.run(task, img) + + + """ + def __init__( + self, + openai_api_key: str = openai_api_key + ): + super().__init__() + self.openai_api_key = openai_api_key + + def encode_image(self, img: str): + """Encode image to base64.""" + with open(img, "rb") as image_file: + return base64.b64encode(image_file.read()).decode("utf-8") + + # Function to handle vision tasks + def run(self, task: str, img: str): + """Run the model.""" + try: + base64_image = self.encode_image(img) + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {openai_api_key}", + } + payload = { + "model": "gpt-4-vision-preview", + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": task}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{base64_image}" + }, + }, + ], + } + ], + "max_tokens": 300, + } + response = requests.post( + "https://api.openai.com/v1/chat/completions", + headers=headers, + json=payload, + ) + + out = response.json() + + out = out["choices"][0]["text"] + except Exception as error: + print(f"Error with the request: {error}") + raise error + # Function to handle vision tasks + + def __call__(self, task: str, img: str): + """Run the model.""" + try: + base64_image = self.encode_image(img) + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {openai_api_key}", + } + payload = { + "model": "gpt-4-vision-preview", + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": task}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{base64_image}" + }, + }, + ], + } + ], + "max_tokens": 300, + } + response = requests.post( + "https://api.openai.com/v1/chat/completions", + headers=headers, + json=payload, + ) + return response.json() + except Exception as error: + print(f"Error with the request: {error}") + raise error diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index 99a3e587..2287273c 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -496,7 +496,7 @@ class Flow: ) print(error) - def run(self, task: str, **kwargs): + def run(self, task: str, img: Optional[str], **kwargs): """ Run the autonomous agent loop @@ -550,10 +550,17 @@ class Flow: attempt = 0 while attempt < self.retry_attempts: try: - response = self.llm( - task, - **kwargs, - ) + if img: + response = self.llm( + task, + img, + **kwargs, + ) + else: + response = self.llm( + task, + **kwargs, + ) # If code interpreter is enabled then run the code if self.code_interpreter: From 0802091b7fde469ad73eb8d14beccb38f539455b Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 17:03:20 -0800 Subject: [PATCH 16/47] tests for gpt4visionapi --- multi_modal_auto_agent.py | 4 +- playground/demos/positive_med/positive_med.py | 4 +- swarms/models/__init__.py | 1 - swarms/models/anthropic.py | 6 +- swarms/models/dalle3.py | 18 ++- swarms/models/gpt4_vision_api.py | 23 ++-- swarms/models/huggingface.py | 6 +- swarms/models/ssd_1b.py | 12 +- swarms/prompts/autobloggen.py | 2 - swarms/structs/flow.py | 8 +- swarms/structs/sequential_workflow.py | 8 +- tests/models/test_gpt4_vision_api.py | 122 ++++++++++++++++++ 12 files changed, 175 insertions(+), 39 deletions(-) create mode 100644 tests/models/test_gpt4_vision_api.py diff --git a/multi_modal_auto_agent.py b/multi_modal_auto_agent.py index 5d27dc42..f5462847 100644 --- a/multi_modal_auto_agent.py +++ b/multi_modal_auto_agent.py @@ -10,8 +10,8 @@ img = "images/swarms.jpeg" ## Initialize the workflow flow = Flow( llm=llm, - max_loops='auto', + max_loops="auto", dashboard=True, ) -flow.run(task=task, img=img) \ No newline at end of file +flow.run(task=task, img=img) diff --git a/playground/demos/positive_med/positive_med.py b/playground/demos/positive_med/positive_med.py index 6d3a076d..36fecaa1 100644 --- a/playground/demos/positive_med/positive_med.py +++ b/playground/demos/positive_med/positive_med.py @@ -53,8 +53,8 @@ topic_selection_task = ( "Generate 10 topics on gaining mental clarity using ancient practices" ) topics = llm( - f"Your System Instructions: {TOPIC_GENERATOR_SYSTEM_PROMPT}, Your current task:" - f" {topic_selection_task}" + f"Your System Instructions: {TOPIC_GENERATOR_SYSTEM_PROMPT}, Your current" + f" task: {topic_selection_task}" ) dashboard = print( diff --git a/swarms/models/__init__.py b/swarms/models/__init__.py index aa1da8f7..deaa5fde 100644 --- a/swarms/models/__init__.py +++ b/swarms/models/__init__.py @@ -52,5 +52,4 @@ __all__ = [ # "Dalle3", # "DistilWhisperModel", "GPT4VisionAPI", - ] diff --git a/swarms/models/anthropic.py b/swarms/models/anthropic.py index 1f0fe759..1f47e1bf 100644 --- a/swarms/models/anthropic.py +++ b/swarms/models/anthropic.py @@ -185,11 +185,9 @@ def build_extra_kwargs( if field_name in extra_kwargs: raise ValueError(f"Found {field_name} supplied twice.") if field_name not in all_required_field_names: - warnings.warn( - f"""WARNING! {field_name} is not default parameter. + warnings.warn(f"""WARNING! {field_name} is not default parameter. {field_name} was transferred to model_kwargs. - Please confirm that {field_name} is what you intended.""" - ) + Please confirm that {field_name} is what you intended.""") extra_kwargs[field_name] = values.pop(field_name) invalid_model_kwargs = all_required_field_names.intersection( diff --git a/swarms/models/dalle3.py b/swarms/models/dalle3.py index 419cb060..3c130670 100644 --- a/swarms/models/dalle3.py +++ b/swarms/models/dalle3.py @@ -168,8 +168,10 @@ class Dalle3: # Handling exceptions and printing the errors details print( colored( - f"Error running Dalle3: {error} try optimizing your api" - " key and or try again", + ( + f"Error running Dalle3: {error} try optimizing your api" + " key and or try again" + ), "red", ) ) @@ -231,8 +233,10 @@ class Dalle3: except (Exception, openai.OpenAIError) as error: print( colored( - f"Error running Dalle3: {error} try optimizing your api" - " key and or try again", + ( + f"Error running Dalle3: {error} try optimizing your api" + " key and or try again" + ), "red", ) ) @@ -306,8 +310,10 @@ class Dalle3: except Exception as error: print( colored( - f"Error running Dalle3: {error} try optimizing" - " your api key and or try again", + ( + f"Error running Dalle3: {error} try optimizing" + " your api key and or try again" + ), "red", ) ) diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 05736261..87c76200 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -7,6 +7,7 @@ from dotenv import load_dotenv load_dotenv() openai_api_key = os.getenv("OPENAI_API_KEY") + class GPT4VisionAPI: """ GPT-4 Vision API @@ -34,13 +35,11 @@ class GPT4VisionAPI: >>> task = "What is the color of the object?" >>> img = "https://i.imgur.com/2M2ZGwC.jpeg" >>> llm.run(task, img) - - + + """ - def __init__( - self, - openai_api_key: str = openai_api_key - ): + + def __init__(self, openai_api_key: str = openai_api_key): super().__init__() self.openai_api_key = openai_api_key @@ -52,7 +51,7 @@ class GPT4VisionAPI: # Function to handle vision tasks def run(self, task: str, img: str): """Run the model.""" - try: + try: base64_image = self.encode_image(img) headers = { "Content-Type": "application/json", @@ -68,7 +67,9 @@ class GPT4VisionAPI: { "type": "image_url", "image_url": { - "url": f"data:image/jpeg;base64,{base64_image}" + "url": ( + f"data:image/jpeg;base64,{base64_image}" + ) }, }, ], @@ -92,7 +93,7 @@ class GPT4VisionAPI: def __call__(self, task: str, img: str): """Run the model.""" - try: + try: base64_image = self.encode_image(img) headers = { "Content-Type": "application/json", @@ -108,7 +109,9 @@ class GPT4VisionAPI: { "type": "image_url", "image_url": { - "url": f"data:image/jpeg;base64,{base64_image}" + "url": ( + f"data:image/jpeg;base64,{base64_image}" + ) }, }, ], diff --git a/swarms/models/huggingface.py b/swarms/models/huggingface.py index f3f7d45f..1db435f5 100644 --- a/swarms/models/huggingface.py +++ b/swarms/models/huggingface.py @@ -291,8 +291,10 @@ class HuggingfaceLLM: except Exception as e: print( colored( - "HuggingfaceLLM could not generate text because of" - f" error: {e}, try optimizing your arguments", + ( + "HuggingfaceLLM could not generate text because of" + f" error: {e}, try optimizing your arguments" + ), "red", ) ) diff --git a/swarms/models/ssd_1b.py b/swarms/models/ssd_1b.py index aaa3f17e..406678ef 100644 --- a/swarms/models/ssd_1b.py +++ b/swarms/models/ssd_1b.py @@ -140,8 +140,10 @@ class SSD1B: # Handling exceptions and printing the errors details print( colored( - f"Error running SSD1B: {error} try optimizing your api" - " key and or try again", + ( + f"Error running SSD1B: {error} try optimizing your api" + " key and or try again" + ), "red", ) ) @@ -226,8 +228,10 @@ class SSD1B: except Exception as error: print( colored( - f"Error running SSD1B: {error} try optimizing" - " your api key and or try again", + ( + f"Error running SSD1B: {error} try optimizing" + " your api key and or try again" + ), "red", ) ) diff --git a/swarms/prompts/autobloggen.py b/swarms/prompts/autobloggen.py index 3cad09b2..a6f9e561 100644 --- a/swarms/prompts/autobloggen.py +++ b/swarms/prompts/autobloggen.py @@ -274,5 +274,3 @@ Check Accuracy: - Flag any bold claims that lack credible evidence for fact-checker review. """ - - diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index 2287273c..47740f73 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -489,8 +489,10 @@ class Flow: except Exception as error: print( colored( - "Error activating autonomous agent. Try optimizing your" - " parameters...", + ( + "Error activating autonomous agent. Try optimizing your" + " parameters..." + ), "red", ) ) @@ -657,7 +659,7 @@ class Flow: while attempt < self.retry_attempts: try: response = self.llm( - task ** kwargs, + task**kwargs, ) if self.interactive: print(f"AI: {response}") diff --git a/swarms/structs/sequential_workflow.py b/swarms/structs/sequential_workflow.py index 85990854..753ada15 100644 --- a/swarms/structs/sequential_workflow.py +++ b/swarms/structs/sequential_workflow.py @@ -385,9 +385,11 @@ class SequentialWorkflow: except Exception as e: print( colored( - f"Error initializing the Sequential workflow: {e} try" - " optimizing your inputs like the flow class and task" - " description", + ( + f"Error initializing the Sequential workflow: {e} try" + " optimizing your inputs like the flow class and task" + " description" + ), "red", attrs=["bold", "underline"], ) diff --git a/tests/models/test_gpt4_vision_api.py b/tests/models/test_gpt4_vision_api.py new file mode 100644 index 00000000..a40d6f63 --- /dev/null +++ b/tests/models/test_gpt4_vision_api.py @@ -0,0 +1,122 @@ +import pytest +from unittest.mock import mock_open, patch, Mock +from requests.exceptions import RequestException +from swarms.models.gpt4_vision_api import GPT4VisionAPI +import os +from dotenv import load_dotenv + +load_dotenv() + + +custom_api_key = os.environ.get("OPENAI_API_KEY") +img = "images/swarms.jpeg" + + +@pytest.fixture +def vision_api(): + return GPT4VisionAPI(openai_api_key="test_api_key") + + +def test_init(vision_api): + assert vision_api.openai_api_key == "test_api_key" + + +def test_encode_image(vision_api): + with patch( + "builtins.open", mock_open(read_data=b"test_image_data"), create=True + ): + encoded_image = vision_api.encode_image("test_image.jpg") + assert encoded_image == "dGVzdF9pbWFnZV9kYXRh" + + +def test_run_success(vision_api): + expected_response = {"choices": [{"text": "This is the model's response."}]} + with patch( + "requests.post", return_value=Mock(json=lambda: expected_response) + ) as mock_post: + result = vision_api.run("What is this?", "test_image.jpg") + mock_post.assert_called_once() + assert result == "This is the model's response." + + +def test_run_request_error(vision_api): + with patch( + "requests.post", side_effect=RequestException("Request Error") + ) as mock_post: + with pytest.raises(RequestException): + vision_api.run("What is this?", "test_image.jpg") + + +def test_run_response_error(vision_api): + expected_response = {"error": "Model Error"} + with patch( + "requests.post", return_value=Mock(json=lambda: expected_response) + ) as mock_post: + with pytest.raises(RuntimeError): + vision_api.run("What is this?", "test_image.jpg") + + +def test_call(vision_api): + expected_response = {"choices": [{"text": "This is the model's response."}]} + with patch( + "requests.post", return_value=Mock(json=lambda: expected_response) + ) as mock_post: + result = vision_api("What is this?", "test_image.jpg") + mock_post.assert_called_once() + assert result == "This is the model's response." + + +@pytest.fixture +def gpt_api(): + return GPT4VisionAPI() + + +def test_initialization_with_default_key(): + api = GPT4VisionAPI() + assert api.openai_api_key == custom_api_key + + +def test_initialization_with_custom_key(): + custom_key = custom_api_key + api = GPT4VisionAPI(openai_api_key=custom_key) + assert api.openai_api_key == custom_key + + +def test_run_successful_response(gpt_api): + task = "What is in the image?" + img_url = img + response_json = {"choices": [{"text": "Answer from GPT-4 Vision"}]} + mock_response = Mock() + mock_response.json.return_value = response_json + with patch("requests.post", return_value=mock_response) as mock_post: + result = gpt_api.run(task, img_url) + mock_post.assert_called_once() + assert result == response_json["choices"][0]["text"] + + +def test_run_with_exception(gpt_api): + task = "What is in the image?" + img_url = img + with patch("requests.post", side_effect=Exception("Test Exception")): + with pytest.raises(Exception): + gpt_api.run(task, img_url) + + +def test_call_method_successful_response(gpt_api): + task = "What is in the image?" + img_url = img + response_json = {"choices": [{"text": "Answer from GPT-4 Vision"}]} + mock_response = Mock() + mock_response.json.return_value = response_json + with patch("requests.post", return_value=mock_response) as mock_post: + result = gpt_api(task, img_url) + mock_post.assert_called_once() + assert result == response_json + + +def test_call_method_with_exception(gpt_api): + task = "What is in the image?" + img_url = img + with patch("requests.post", side_effect=Exception("Test Exception")): + with pytest.raises(Exception): + gpt_api(task, img_url) From 9e6c4275b2cfa8a2265d286bc1725123e7d2f025 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 17:18:53 -0800 Subject: [PATCH 17/47] clean up outputs of multi modal autonomous agents --- multi_modal_auto_agent.py | 2 +- swarms/models/gpt4_vision_api.py | 20 ++++++++++++++------ tests/models/test_gpt4_vision_api.py | 10 +++++----- 3 files changed, 20 insertions(+), 12 deletions(-) diff --git a/multi_modal_auto_agent.py b/multi_modal_auto_agent.py index f5462847..1500349c 100644 --- a/multi_modal_auto_agent.py +++ b/multi_modal_auto_agent.py @@ -11,7 +11,7 @@ img = "images/swarms.jpeg" flow = Flow( llm=llm, max_loops="auto", - dashboard=True, + ) flow.run(task=task, img=img) diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 87c76200..87436c55 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -18,7 +18,10 @@ class GPT4VisionAPI: ---------- openai_api_key : str The OpenAI API key. Defaults to the OPENAI_API_KEY environment variable. + max_tokens : int + The maximum number of tokens to generate. Defaults to 300. + Methods ------- encode_image(img: str) @@ -39,9 +42,10 @@ class GPT4VisionAPI: """ - def __init__(self, openai_api_key: str = openai_api_key): + def __init__(self, openai_api_key: str = openai_api_key, max_tokens: str = 300): super().__init__() self.openai_api_key = openai_api_key + self.max_tokens = max_tokens def encode_image(self, img: str): """Encode image to base64.""" @@ -75,7 +79,7 @@ class GPT4VisionAPI: ], } ], - "max_tokens": 300, + "max_tokens": self.max_tokens, } response = requests.post( "https://api.openai.com/v1/chat/completions", @@ -84,8 +88,8 @@ class GPT4VisionAPI: ) out = response.json() - - out = out["choices"][0]["text"] + content = out["choices"][0]["message"]["content"] + print(content) except Exception as error: print(f"Error with the request: {error}") raise error @@ -117,14 +121,18 @@ class GPT4VisionAPI: ], } ], - "max_tokens": 300, + "max_tokens": self.max_tokens, } response = requests.post( "https://api.openai.com/v1/chat/completions", headers=headers, json=payload, ) - return response.json() + + out = response.json() + content = out["choices"][0]["message"]["content"] + print(content) except Exception as error: print(f"Error with the request: {error}") raise error + # Function to handle vision tasks \ No newline at end of file diff --git a/tests/models/test_gpt4_vision_api.py b/tests/models/test_gpt4_vision_api.py index a40d6f63..df2379a8 100644 --- a/tests/models/test_gpt4_vision_api.py +++ b/tests/models/test_gpt4_vision_api.py @@ -25,7 +25,7 @@ def test_encode_image(vision_api): with patch( "builtins.open", mock_open(read_data=b"test_image_data"), create=True ): - encoded_image = vision_api.encode_image("test_image.jpg") + encoded_image = vision_api.encode_image(img) assert encoded_image == "dGVzdF9pbWFnZV9kYXRh" @@ -34,7 +34,7 @@ def test_run_success(vision_api): with patch( "requests.post", return_value=Mock(json=lambda: expected_response) ) as mock_post: - result = vision_api.run("What is this?", "test_image.jpg") + result = vision_api.run("What is this?", img) mock_post.assert_called_once() assert result == "This is the model's response." @@ -44,7 +44,7 @@ def test_run_request_error(vision_api): "requests.post", side_effect=RequestException("Request Error") ) as mock_post: with pytest.raises(RequestException): - vision_api.run("What is this?", "test_image.jpg") + vision_api.run("What is this?", img) def test_run_response_error(vision_api): @@ -53,7 +53,7 @@ def test_run_response_error(vision_api): "requests.post", return_value=Mock(json=lambda: expected_response) ) as mock_post: with pytest.raises(RuntimeError): - vision_api.run("What is this?", "test_image.jpg") + vision_api.run("What is this?", img) def test_call(vision_api): @@ -61,7 +61,7 @@ def test_call(vision_api): with patch( "requests.post", return_value=Mock(json=lambda: expected_response) ) as mock_post: - result = vision_api("What is this?", "test_image.jpg") + result = vision_api("What is this?", img) mock_post.assert_called_once() assert result == "This is the model's response." 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IF there is anything unsafe in the image, explain why it is unsafe and how it could be improved." +img = "assembly_line.jpg" + +## Initialize the workflow +flow = Flow( + llm=llm, + max_loops=1, + dashboard=True, +) + +flow.run(task=task, img=img) From 97a79ac8cae9b1dbebae01501980f13820e85653 Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Sat, 25 Nov 2023 03:27:26 +0200 Subject: [PATCH 19/47] Add files via upload --- playground/demos/assembly/assembly_line.jpg | Bin 0 -> 544717 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 playground/demos/assembly/assembly_line.jpg diff --git a/playground/demos/assembly/assembly_line.jpg b/playground/demos/assembly/assembly_line.jpg new file mode 100644 index 0000000000000000000000000000000000000000..df35c2e35168d79d233340910e0e9a0d37dbed9a GIT binary patch literal 544717 zcmb4qhf@>E7cL?wz4s=)gwR6^pmaj$fdmqY(g^_s5=20}AVqoy=_S+@IzftfmENU> 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name. Defaults to None. + temperature (Optional[int], optional): Temperature. Defaults to 0.5. + max_tokens (Optional[int], optional): Max tokens. Defaults to 500. + max_workers (Optional[int], optional): Max workers. Defaults to 10. + top_p (Optional[int], optional): Top p. Defaults to 1. + top_k (Optional[int], optional): Top k. Defaults to 50. + beautify (Optional[bool], optional): Beautify. Defaults to False. + device (Optional[str], optional): Device. Defaults to "cuda". + max_new_tokens (Optional[int], optional): Max new tokens. Defaults to 500. + retries (Optional[int], optional): Retries. Defaults to 3. + + Examples: + >>> from swarms.models.base_multimodal_model import BaseMultiModalModel + >>> model = BaseMultiModalModel() + >>> model.run("Generate a summary of this text") + >>> model.run("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png") + >>> model.run_batch(["Generate a summary of this text", "Generate a summary of this text"]) + >>> model.run_batch([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")]) + >>> model.run_batch_async(["Generate a summary of this text", "Generate a summary of this text"]) + >>> model.run_batch_async([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")]) + >>> model.run_batch_async_with_retries(["Generate a summary of this text", "Generate a summary of this text"]) + >>> model.run_batch_async_with_retries([("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"), ("Generate a summary of this text", "https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png")]) + >>> model.generate_summary("Generate a summary of this text") + >>> model.set_temperature(0.5) + >>> model.set_max_tokens(500) + >>> model.get_generation_time() + >>> model.get_chat_history() + >>> model.get_unique_chat_history() + >>> model.get_chat_history_length() + >>> model.get_unique_chat_history_length() + >>> model.get_chat_history_tokens() + >>> model.print_beautiful("Print this beautifully") + >>> model.stream("Stream this") + >>> model.unique_chat_history() + >>> model.clear_chat_history() + >>> model.get_img_from_web("https://www.google.com/images/branding/googlelogo/") + + """ def __init__( self, model_name: Optional[str], diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 869cde1a..6441140e 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -1,18 +1,16 @@ -import logging import asyncio import base64 -from typing import Optional import concurrent.futures -from termcolor import colored import json +import logging import os from concurrent.futures import ThreadPoolExecutor -from typing import List, Tuple +from typing import List, Optional, Tuple import aiohttp import requests from dotenv import load_dotenv - +from termcolor import colored try: import cv2 @@ -94,9 +92,10 @@ class GPT4VisionAPI: def download_img_then_encode(self, img: str): """Download image from URL then encode image to base64 using requests""" + pass # Function to handle vision tasks - def run(self, task: str, img: str): + def run(self, task: Optional[str] = None, img: Optional[str] = None, *args, **kwargs): """Run the model.""" try: base64_image = self.encode_image(img) @@ -131,6 +130,7 @@ class GPT4VisionAPI: ) out = response.json() + content = print(out) content = out["choices"][0]["message"]["content"] if self.streaming_enabled: @@ -263,6 +263,7 @@ class GPT4VisionAPI: ) out = response.json() + content = print(out) content = out["choices"][0]["message"]["content"] if self.streaming_enabled: @@ -287,6 +288,14 @@ class GPT4VisionAPI: ): """ Run the model on multiple tasks and images all at once using concurrent + + Args: + tasks (List[str]): List of tasks + imgs (List[str]): List of image paths + + Returns: + List[str]: List of responses + """ # Instantiate the thread pool executor @@ -301,8 +310,8 @@ class GPT4VisionAPI: async def arun( self, - task: str, - img: str, + task: Optional[str] = None, + img: Optional[str] = None, ): """ Asynchronously run the model diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index e0079199..5084c82e 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -9,9 +9,12 @@ from typing import Any, Callable, Dict, List, Optional, Tuple from termcolor import colored +from swarms.tools.tool import BaseTool from swarms.utils.code_interpreter import SubprocessCodeInterpreter from swarms.utils.parse_code import extract_code_in_backticks_in_string -from swarms.tools.tool import BaseTool +from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( + MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, +) # System prompt FLOW_SYSTEM_PROMPT = f""" @@ -154,7 +157,7 @@ class Flow: retry_interval (int): The interval between retry attempts interactive (bool): Whether or not to run in interactive mode dashboard (bool): Whether or not to print the dashboard - dynamic_temperature(bool): Dynamical temperature handling + dynamic_temperature_enabled(bool): Dynamical temperature handling **kwargs (Any): Any additional keyword arguments Methods: @@ -182,7 +185,6 @@ class Flow: add_message_to_memory_and_truncate: Add the message to the memory and truncate print_dashboard: Print dashboard activate_autonomous_agent: Print the autonomous agent activation message - dynamic_temperature: Dynamically change the temperature _check_stopping_condition: Check if the stopping condition is met format_prompt: Format the prompt get_llm_init_params: Get the llm init params @@ -236,18 +238,20 @@ class Flow: dynamic_loops: Optional[bool] = False, interactive: bool = False, dashboard: bool = False, - agent_name: str = " Autonomous Agent XYZ1B", + agent_name: str = "Autonomous Agent XYZ1B", agent_description: str = None, system_prompt: str = FLOW_SYSTEM_PROMPT, tools: List[BaseTool] = None, - dynamic_temperature: bool = False, - sop: str = None, + dynamic_temperature_enabled: Optional[bool] = False, + sop: Optional[str] = None, + sop_list: Optional[List[str]] = None, saved_state_path: Optional[str] = "flow_state.json", - autosave: bool = False, - context_length: int = 8192, + autosave: Optional[bool] = False, + context_length: Optional[int] = 8192, user_name: str = "Human:", - self_healing: bool = False, + self_healing_enabled: bool = False, code_interpreter: bool = False, + multi_modal: Optional[bool] = None, **kwargs: Any, ): self.llm = llm @@ -257,22 +261,17 @@ class Flow: self.loop_interval = loop_interval self.retry_attempts = retry_attempts self.retry_interval = retry_interval - self.feedback = [] - self.memory = [] self.task = None self.stopping_token = stopping_token # or "" self.interactive = interactive self.dashboard = dashboard self.return_history = return_history - self.dynamic_temperature = dynamic_temperature + self.dynamic_temperature_enabled = dynamic_temperature_enabled self.dynamic_loops = dynamic_loops self.user_name = user_name self.context_length = context_length - # SOPS to inject into the system prompt self.sop = sop - # The max_loops will be set dynamically if the dynamic_loop - if self.dynamic_loops: - self.max_loops = "auto" + self.sop_list = sop_list self.tools = tools or [] self.system_prompt = system_prompt self.agent_name = agent_name @@ -280,8 +279,27 @@ class Flow: self.saved_state_path = saved_state_path self.autosave = autosave self.response_filters = [] - self.self_healing = self_healing + self.self_healing_enabled = self_healing_enabled self.code_interpreter = code_interpreter + self.multi_modal = multi_modal + + # The max_loops will be set dynamically if the dynamic_loop + if self.dynamic_loops: + self.max_loops = "auto" + + # If multimodal = yes then set the sop to the multimodal sop + if self.multi_modal: + self.sop = MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + + # If the user inputs a list of strings for the sop then join them and set the sop + if self.sop_list: + self.sop = "\n".join(self.sop_list) + + # Memory + self.feedback = [] + self.memory = [] + + # Initialize the code executor self.code_executor = SubprocessCodeInterpreter() def provide_feedback(self, feedback: str) -> None: @@ -461,7 +479,7 @@ class Flow: Retry Interval: {self.retry_interval} Interactive: {self.interactive} Dashboard: {self.dashboard} - Dynamic Temperature: {self.dynamic_temperature} + Dynamic Temperature: {self.dynamic_temperature_enabled} Autosave: {self.autosave} Saved State: {self.saved_state_path} Model Configuration: {model_config} @@ -528,10 +546,9 @@ class Flow: self.print_dashboard(task) loop_count = 0 - + # While the max_loops is auto or the loop count is less than the max_loops while self.max_loops == "auto" or loop_count < self.max_loops: - # Loop count loop_count += 1 print( @@ -547,7 +564,7 @@ class Flow: break # Adjust temperature, comment if no work - if self.dynamic_temperature: + if self.dynamic_temperature_enabled: self.dynamic_temperature() # Preparing the prompt @@ -653,7 +670,7 @@ class Flow: break # Adjust temperature, comment if no work - if self.dynamic_temperature: + if self.dynamic_temperature_enabled: self.dynamic_temperature() # Preparing the prompt @@ -998,7 +1015,7 @@ class Flow: "retry_interval": self.retry_interval, "interactive": self.interactive, "dashboard": self.dashboard, - "dynamic_temperature": self.dynamic_temperature, + "dynamic_temperature": self.dynamic_temperature_enabled, } with open(file_path, "w") as f: diff --git a/swarms/structs/sequential_workflow.py b/swarms/structs/sequential_workflow.py index 753ada15..0f99a247 100644 --- a/swarms/structs/sequential_workflow.py +++ b/swarms/structs/sequential_workflow.py @@ -29,6 +29,18 @@ class Task: Task class for running a task in a sequential workflow. + Args: + description (str): The description of the task. + flow (Union[Callable, Flow]): The model or flow to execute the task. + args (List[Any]): Additional arguments to pass to the task execution. + kwargs (Dict[str, Any]): Additional keyword arguments to pass to the task execution. + result (Any): The result of the task execution. + history (List[Any]): The history of the task execution. + + Methods: + execute: Execute the task. + + Examples: >>> from swarms.structs import Task, Flow >>> from swarms.models import OpenAIChat @@ -37,8 +49,6 @@ class Task: >>> task.execute() >>> task.result - - """ description: str @@ -54,9 +64,6 @@ class Task: Raises: ValueError: If a Flow instance is used as a task and the 'task' argument is not provided. - - - """ if isinstance(self.flow, Flow): # Add a prompt to notify the Flow of the sequential workflow @@ -114,14 +121,20 @@ class SequentialWorkflow: dashboard: bool = False def add( - self, task: str, flow: Union[Callable, Flow], *args, **kwargs + self, + flow: Union[Callable, Flow], + task: Optional[str] = None, + img: Optional[str] = None, + *args, + **kwargs, ) -> None: """ Add a task to the workflow. Args: - task (str): The task description or the initial input for the Flow. flow (Union[Callable, Flow]): The model or flow to execute the task. + task (str): The task description or the initial input for the Flow. + img (str): The image to understand for the task. *args: Additional arguments to pass to the task execution. **kwargs: Additional keyword arguments to pass to the task execution. """ @@ -130,9 +143,22 @@ class SequentialWorkflow: kwargs["task"] = task # Set the task as a keyword argument for Flow # Append the task to the tasks list - self.tasks.append( - Task(description=task, flow=flow, args=list(args), kwargs=kwargs) - ) + if self.img: + self.tasks.append( + Task( + description=task, + flow=flow, + args=list(args), + kwargs=kwargs, + img=img, + ) + ) + else: + self.tasks.append( + Task( + description=task, flow=flow, args=list(args), kwargs=kwargs + ) + ) def reset_workflow(self) -> None: """Resets the workflow by clearing the results of each task.""" @@ -148,18 +174,16 @@ class SequentialWorkflow: """ return {task.description: task.result for task in self.tasks} - def remove_task(self, task_description: str) -> None: + def remove_task(self, task: str) -> None: """Remove tasks from sequential workflow""" - self.tasks = [ - task for task in self.tasks if task.description != task_description - ] + self.tasks = [task for task in self.tasks if task.description != task] - def update_task(self, task_description: str, **updates) -> None: + def update_task(self, task: str, **updates) -> None: """ Updates the arguments of a task in the workflow. Args: - task_description (str): The description of the task to update. + task (str): The description of the task to update. **updates: The updates to apply to the task. Raises: @@ -178,11 +202,11 @@ class SequentialWorkflow: """ for task in self.tasks: - if task.description == task_description: + if task.description == task: task.kwargs.update(updates) break else: - raise ValueError(f"Task {task_description} not found in workflow.") + raise ValueError(f"Task {task} not found in workflow.") def save_workflow_state( self, @@ -272,6 +296,7 @@ class SequentialWorkflow: ) def workflow_shutdown(self, **kwargs) -> None: + """Shuts down the workflow.""" print( colored( """ @@ -282,6 +307,7 @@ class SequentialWorkflow: ) def add_objective_to_workflow(self, task: str, **kwargs) -> None: + """Adds an objective to the workflow.""" print( colored( """ From 76b1fa539bc121843df2a68bbf914b5c86883719 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 20:43:13 -0800 Subject: [PATCH 34/47] swarms of multi modal autonomous agents --- .../swarm_of_mma_manufacturing/flow_iter.py | 129 ------------------ .../demos/swarm_of_mma_manufacturing/main.py | 60 ++++---- swarms/models/gpt4_vision_api.py | 2 - 3 files changed, 26 insertions(+), 165 deletions(-) delete mode 100644 playground/demos/swarm_of_mma_manufacturing/flow_iter.py diff --git a/playground/demos/swarm_of_mma_manufacturing/flow_iter.py b/playground/demos/swarm_of_mma_manufacturing/flow_iter.py deleted file mode 100644 index 57a33535..00000000 --- a/playground/demos/swarm_of_mma_manufacturing/flow_iter.py +++ /dev/null @@ -1,129 +0,0 @@ -""" -Swarm of multi modal autonomous agents for manufacturing! ---------------------------------------------------------- -Health Security agent: Agent that monitors the health of working conditions: input image of factory output: health safety index 0.0 - 1.0 being the highest -Quality Control agent: Agent that monitors the quality of the product: input image of product output: quality index 0.0 - 1.0 being the highest -Productivity agent: Agent that monitors the productivity of the factory: input image of factory output: productivity index 0.0 - 1.0 being the highest -Safety agent: Agent that monitors the safety of the factory: input image of factory output: safety index 0.0 - 1.0 being the highest -Security agent: Agent that monitors the security of the factory: input image of factory output: security index 0.0 - 1.0 being the highest -Sustainability agent: Agent that monitors the sustainability of the factory: input image of factory output: sustainability index 0.0 - 1.0 being the highest -Efficiency agent: Agent that monitors the efficiency of the factory: input image of factory output: efficiency index 0.0 - 1.0 being the highest - - -Flow: -health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent -""" -from swarms.structs import Flow, SequentialWorkflow -import os -from dotenv import load_dotenv -from swarms.models import GPT4VisionAPI -from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( - MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, -) - -load_dotenv() -api_key = os.getenv("OPENAI_API_KEY") - -llm = GPT4VisionAPI( - openai_api_key=api_key -) - -assembly_line = "playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg" -red_robots = "playground/demos/swarm_of_mma_manufacturing/red_robots.jpg" -robots = "playground/demos/swarm_of_mma_manufacturing/robots.jpg" -tesla_assembly_line = "playground/demos/swarm_of_mma_manufacturing/tesla_assembly.jpg" - - -# Define detailed prompts for each agent -tasks = { - "health_safety": ( - "Analyze the factory's working environment for health safety. Focus on" - " cleanliness, ventilation, spacing between workstations, and personal" - " protective equipment availability." - ), - "productivity": ( - "Review the factory's workflow efficiency, machine utilization, and" - " employee engagement. Identify operational delays or bottlenecks." - ), - "safety": ( - "Analyze the factory's safety measures, including fire exits, safety" - " signage, and emergency response equipment." - ), - "security": ( - "Evaluate the factory's security systems, entry/exit controls, and" - " potential vulnerabilities." - ), - "sustainability": ( - "Inspect the factory's sustainability practices, including waste" - " management, energy usage, and eco-friendly processes." - ), - "efficiency": ( - "Assess the manufacturing process's efficiency, considering the layout," - " logistics, and automation level." - ), -} - - -# Define prompts for each agent -health_safety_prompt = tasks["health_safety"] -productivity_prompt = tasks["productivity"] -safety_prompt = tasks["safety"] -security_prompt = tasks["security"] -sustainability_prompt = tasks["sustainability"] -efficiency_prompt = tasks["efficiency"] - - -# Health security agent -health_security_agent = Flow( - llm=llm, - sop_list=health_safety_prompt, - max_loops=2, - multi_modal=True -) - -# Quality control agent -productivity_check_agent = Flow( - llm=llm, - sop=productivity_prompt, - max_loops=2, - multi_modal=True -) - -# Security agent -security_check_agent = Flow( - llm=llm, - sop=security_prompt, - max_loops=2, - multi_modal=True -) - -# Efficiency agent -efficiency_check_agent = Flow( - llm=llm, - sop=efficiency_prompt, - max_loops=2, - multi_modal=True -) - - -# Add the first task to the health_security_agent -health_check = health_security_agent.run( - "Analyze the safety of this factory", - robots -) - -# Add the third task to the productivity_check_agent -productivity_check = productivity_check_agent.run( - health_check, assembly_line -) - -# Add the fourth task to the security_check_agent -security_check = security_check_agent.add( - productivity_check, red_robots -) - -# Add the fifth task to the efficiency_check_agent -efficiency_check = efficiency_check_agent.run( - security_check, tesla_assembly_line -) - diff --git a/playground/demos/swarm_of_mma_manufacturing/main.py b/playground/demos/swarm_of_mma_manufacturing/main.py index 88b82c62..57a33535 100644 --- a/playground/demos/swarm_of_mma_manufacturing/main.py +++ b/playground/demos/swarm_of_mma_manufacturing/main.py @@ -14,18 +14,24 @@ Flow: health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent """ from swarms.structs import Flow, SequentialWorkflow +import os +from dotenv import load_dotenv from swarms.models import GPT4VisionAPI from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, ) +load_dotenv() +api_key = os.getenv("OPENAI_API_KEY") -llm = GPT4VisionAPI() +llm = GPT4VisionAPI( + openai_api_key=api_key +) -assembly_line = "assembly_line.jpg" -red_robots = "red_robots.jpg" -robots = "robots.jpg" -tesla_assembly_line = "tesla_assembly.jpg" +assembly_line = "playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg" +red_robots = "playground/demos/swarm_of_mma_manufacturing/red_robots.jpg" +robots = "playground/demos/swarm_of_mma_manufacturing/robots.jpg" +tesla_assembly_line = "playground/demos/swarm_of_mma_manufacturing/tesla_assembly.jpg" # Define detailed prompts for each agent @@ -70,68 +76,54 @@ efficiency_prompt = tasks["efficiency"] # Health security agent health_security_agent = Flow( llm=llm, - sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + health_safety_prompt, - max_loops=2, -) - -# Quality control agent -quality_control_agent = Flow( - llm=llm, - sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, + sop_list=health_safety_prompt, max_loops=2, + multi_modal=True ) # Quality control agent productivity_check_agent = Flow( llm=llm, - sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + productivity_prompt, + sop=productivity_prompt, max_loops=2, + multi_modal=True ) # Security agent security_check_agent = Flow( llm=llm, - sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + security_prompt, + sop=security_prompt, max_loops=2, + multi_modal=True ) # Efficiency agent efficiency_check_agent = Flow( llm=llm, - sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + efficiency_prompt, + sop=efficiency_prompt, max_loops=2, + multi_modal=True ) -# Sequential workflow -workflow = SequentialWorkflow( - max_loops=4, - name="Swarm of multi modal autonomous agents for manufacturing!", - description="Swarm of multi modal autonomous agents for manufacturing!", -) - # Add the first task to the health_security_agent -health_check = workflow.add( - health_security_agent, +health_check = health_security_agent.run( "Analyze the safety of this factory", robots ) # Add the third task to the productivity_check_agent -productivity_check = workflow.add( - productivity_check_agent, health_check, assembly_line +productivity_check = productivity_check_agent.run( + health_check, assembly_line ) # Add the fourth task to the security_check_agent -security_check = workflow.add( - security_check_agent, productivity_check, red_robots +security_check = security_check_agent.add( + productivity_check, red_robots ) # Add the fifth task to the efficiency_check_agent -efficiency_check = workflow.add( - efficiency_check_agent, security_check, tesla_assembly_line +efficiency_check = efficiency_check_agent.run( + security_check, tesla_assembly_line ) - -# Run the workflow -workflow.run() diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 6441140e..0370b2c2 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -130,7 +130,6 @@ class GPT4VisionAPI: ) out = response.json() - content = print(out) content = out["choices"][0]["message"]["content"] if self.streaming_enabled: @@ -263,7 +262,6 @@ class GPT4VisionAPI: ) out = response.json() - content = print(out) content = out["choices"][0]["message"]["content"] if self.streaming_enabled: From e79e05e261de209300f44068b66b13747eab1587 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 20:44:00 -0800 Subject: [PATCH 35/47] clean up swarms of multi modal autonomous agents --- playground/demos/swarm_of_mma_manufacturing/main.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/playground/demos/swarm_of_mma_manufacturing/main.py b/playground/demos/swarm_of_mma_manufacturing/main.py index 57a33535..d8aab663 100644 --- a/playground/demos/swarm_of_mma_manufacturing/main.py +++ b/playground/demos/swarm_of_mma_manufacturing/main.py @@ -13,13 +13,11 @@ Efficiency agent: Agent that monitors the efficiency of the factory: input image Flow: health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent """ -from swarms.structs import Flow, SequentialWorkflow +from swarms.structs import Flow import os from dotenv import load_dotenv from swarms.models import GPT4VisionAPI -from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( - MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, -) + load_dotenv() api_key = os.getenv("OPENAI_API_KEY") From 5e4052947fa764d9825ade2a2b6962926232dbc6 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 21:15:25 -0800 Subject: [PATCH 36/47] clean up main.py --- playground/demos/swarm_of_mma_manufacturing/main.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/playground/demos/swarm_of_mma_manufacturing/main.py b/playground/demos/swarm_of_mma_manufacturing/main.py index d8aab663..d3705418 100644 --- a/playground/demos/swarm_of_mma_manufacturing/main.py +++ b/playground/demos/swarm_of_mma_manufacturing/main.py @@ -18,10 +18,10 @@ import os from dotenv import load_dotenv from swarms.models import GPT4VisionAPI - load_dotenv() api_key = os.getenv("OPENAI_API_KEY") + llm = GPT4VisionAPI( openai_api_key=api_key ) From d91250d51643932dbde18a66496de5dc54d88aef Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Sun, 26 Nov 2023 12:41:37 -0700 Subject: [PATCH 37/47] gitignore --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 8f8a98a8..716dc148 100644 --- a/.gitignore +++ b/.gitignore @@ -186,4 +186,5 @@ cython_debug/ # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ \ No newline at end of file +#.idea/ +.vscode/settings.json From 217cb27f0968bbabc7390906863729f22595a716 Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Sun, 26 Nov 2023 18:45:24 -0800 Subject: [PATCH 38/47] Update .env.example --- .env.example | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.env.example b/.env.example index c6c3cade..6197a6d4 100644 --- a/.env.example +++ b/.env.example @@ -5,7 +5,7 @@ AI21_API_KEY="your_api_key_here" COHERE_API_KEY="your_api_key_here" ALEPHALPHA_API_KEY="your_api_key_here" HUGGINFACEHUB_API_KEY="your_api_key_here" - +STABILITY_API_KEY="your_api_key_here" WOLFRAM_ALPHA_APPID="your_wolfram_alpha_appid_here" ZAPIER_NLA_API_KEY="your_zapier_nla_api_key_here" @@ -41,4 +41,4 @@ REDIS_PORT= PINECONE_API_KEY="" BING_COOKIE="" -PSG_CONNECTION_STRING="" \ No newline at end of file +PSG_CONNECTION_STRING="" From fb32a182ffde88edc56499f1f6cfe30b1ba77ccb Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Sun, 26 Nov 2023 18:46:01 -0800 Subject: [PATCH 39/47] Create stable_diffusion.py --- playground/models/stable_diffusion.py | 58 +++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100644 playground/models/stable_diffusion.py diff --git a/playground/models/stable_diffusion.py b/playground/models/stable_diffusion.py new file mode 100644 index 00000000..3ca69931 --- /dev/null +++ b/playground/models/stable_diffusion.py @@ -0,0 +1,58 @@ +import os +import base64 +import requests +from dotenv import load_dotenv +from typing import List + +load_dotenv() + +class StableDiffusion: + def __init__(self, api_key: str, api_host: str = "https://api.stability.ai"): + self.api_key = api_key + self.api_host = api_host + self.engine_id = "stable-diffusion-v1-6" + self.headers = { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + "Accept": "application/json" + } + self.output_dir = "images" + os.makedirs(self.output_dir, exist_ok=True) + + def generate_image(self, prompt: str, cfg_scale: int = 7, height: int = 1024, width: int = 1024, samples: int = 1, steps: int = 30) -> List[str]: + response = requests.post( + f"{self.api_host}/v1/generation/{self.engine_id}/text-to-image", + headers=self.headers, + json={ + "text_prompts": [{"text": prompt}], + "cfg_scale": cfg_scale, + "height": height, + "width": width, + "samples": samples, + "steps": steps, + }, + ) + + if response.status_code != 200: + raise Exception(f"Non-200 response: {response.text}") + + data = response.json() + image_paths = [] + for i, image in enumerate(data["artifacts"]): + image_path = os.path.join(self.output_dir, f"v1_txt2img_{i}.png") + with open(image_path, "wb") as f: + f.write(base64.b64decode(image["base64"])) + image_paths.append(image_path) + + return image_paths + +# Example Usage +if __name__ == "__main__": + api_key = os.getenv("STABILITY_API_KEY") + if not api_key: + raise Exception("Missing Stability API key.") + + sd_api = StableDiffusion(api_key) + images = sd_api.generate_image("A lighthouse on a cliff") + for image_path in images: + print(f"Generated image saved at: {image_path}") From 39ba15eccd336d1b980462378be065bf4d102b3e Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Sun, 26 Nov 2023 19:49:58 -0700 Subject: [PATCH 40/47] python 3.9 --- .github/workflows/RELEASE.yml | 4 ++-- .github/workflows/unit-test.yml | 2 +- pyproject.toml | 2 +- tests/Dockerfile | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/RELEASE.yml b/.github/workflows/RELEASE.yml index 0abb2ed7..cde08689 100644 --- a/.github/workflows/RELEASE.yml +++ b/.github/workflows/RELEASE.yml @@ -22,10 +22,10 @@ jobs: - uses: actions/checkout@v4 - name: Install poetry run: pipx install poetry==$POETRY_VERSION - - name: Set up Python 3.10 + - name: Set up Python 3.9 uses: actions/setup-python@v4 with: - python-version: "3.10" + python-version: "3.9" cache: "poetry" - name: Build project for distribution run: poetry build diff --git a/.github/workflows/unit-test.yml b/.github/workflows/unit-test.yml index c68e49b6..0a1985a7 100644 --- a/.github/workflows/unit-test.yml +++ b/.github/workflows/unit-test.yml @@ -18,7 +18,7 @@ jobs: - name: Setup Python uses: actions/setup-python@v4 with: - python-version: '3.10' + python-version: '3.9' - name: Install dependencies run: | diff --git a/pyproject.toml b/pyproject.toml index bac55bc6..a15d5d83 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,7 +22,7 @@ classifiers = [ ] [tool.poetry.dependencies] -python = "^3.10.1" +python = "^3.9.1" torch = "2.1.1" transformers = "*" openai = "0.28.0" diff --git a/tests/Dockerfile b/tests/Dockerfile index f575f599..f6e46515 100644 --- a/tests/Dockerfile +++ b/tests/Dockerfile @@ -1,7 +1,7 @@ # TESTING # -================== # Use an official Python runtime as a parent image -FROM python:3.10-slim +FROM python:3.9-slim # Set environment variables to make Python output unbuffered and disable the PIP cache ENV PYTHONDONTWRITEBYTECODE 1 From d59ad33a225099f12a2d67948bdde0011ff9911b Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Sun, 26 Nov 2023 18:55:30 -0800 Subject: [PATCH 41/47] Update stable_diffusion.py --- playground/models/stable_diffusion.py | 74 +++++++++++++++++++++++---- 1 file changed, 64 insertions(+), 10 deletions(-) diff --git a/playground/models/stable_diffusion.py b/playground/models/stable_diffusion.py index 3ca69931..3bb77c39 100644 --- a/playground/models/stable_diffusion.py +++ b/playground/models/stable_diffusion.py @@ -7,7 +7,39 @@ from typing import List load_dotenv() class StableDiffusion: + """ + A class to interact with the Stable Diffusion API for image generation. + + Attributes: + ----------- + api_key : str + The API key for accessing the Stable Diffusion API. + api_host : str + The host URL of the Stable Diffusion API. + engine_id : str + The ID of the Stable Diffusion engine. + headers : dict + The headers for the API request. + output_dir : str + Directory where generated images will be saved. + + Methods: + -------- + generate_image(prompt: str, cfg_scale: int, height: int, width: int, samples: int, steps: int) -> List[str]: + Generates images based on a text prompt and returns a list of file paths to the generated images. + """ + def __init__(self, api_key: str, api_host: str = "https://api.stability.ai"): + """ + Initializes the StableDiffusion class with the provided API key and host. + + Parameters: + ----------- + api_key : str + The API key for accessing the Stable Diffusion API. + api_host : str + The host URL of the Stable Diffusion API. Default is "https://api.stability.ai". + """ self.api_key = api_key self.api_host = api_host self.engine_id = "stable-diffusion-v1-6" @@ -20,6 +52,34 @@ class StableDiffusion: os.makedirs(self.output_dir, exist_ok=True) def generate_image(self, prompt: str, cfg_scale: int = 7, height: int = 1024, width: int = 1024, samples: int = 1, steps: int = 30) -> List[str]: + """ + Generates images based on a text prompt. + + Parameters: + ----------- + prompt : str + The text prompt based on which the image will be generated. + cfg_scale : int + CFG scale parameter for image generation. Default is 7. + height : int + Height of the generated image. Default is 1024. + width : int + Width of the generated image. Default is 1024. + samples : int + Number of images to generate. Default is 1. + steps : int + Number of steps for the generation process. Default is 30. + + Returns: + -------- + List[str]: + A list of paths to the generated images. + + Raises: + ------- + Exception: + If the API response is not 200 (OK). + """ response = requests.post( f"{self.api_host}/v1/generation/{self.engine_id}/text-to-image", headers=self.headers, @@ -46,13 +106,7 @@ class StableDiffusion: return image_paths -# Example Usage -if __name__ == "__main__": - api_key = os.getenv("STABILITY_API_KEY") - if not api_key: - raise Exception("Missing Stability API key.") - - sd_api = StableDiffusion(api_key) - images = sd_api.generate_image("A lighthouse on a cliff") - for image_path in images: - print(f"Generated image saved at: {image_path}") +# Usage example: +# sd = StableDiffusion("your-api-key") +# images = sd.generate_image("A scenic landscape with mountains") +# print(images) From e4dd3b127c09995f2d2825397115d4eab2e91782 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 27 Nov 2023 04:24:41 +0000 Subject: [PATCH 42/47] Bump actions/checkout from 3 to 4 Bumps [actions/checkout](https://github.com/actions/checkout) from 3 to 4. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v3...v4) --- updated-dependencies: - dependency-name: actions/checkout dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- .github/workflows/python-package.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml index de09fd0b..41f2942a 100644 --- a/.github/workflows/python-package.yml +++ b/.github/workflows/python-package.yml @@ -19,7 +19,7 @@ jobs: python-version: ["3.7", "3.9", "3.10", "3.11"] steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v3 with: From 25ff5a40e64758cda355651aa3d223fa6ef3a663 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 27 Nov 2023 04:24:46 +0000 Subject: [PATCH 43/47] Bump actions/setup-python from 3 to 4 Bumps [actions/setup-python](https://github.com/actions/setup-python) from 3 to 4. - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](https://github.com/actions/setup-python/compare/v3...v4) --- updated-dependencies: - dependency-name: actions/setup-python dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- .github/workflows/python-package.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml index de09fd0b..62bd4dfa 100644 --- a/.github/workflows/python-package.yml +++ b/.github/workflows/python-package.yml @@ -21,7 +21,7 @@ jobs: steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v3 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies From 37e7a4d1fa2ad6313e0e82e42361eba17c7d0dc1 Mon Sep 17 00:00:00 2001 From: Eternal Reclaimer <98760976+kyegomez@users.noreply.github.com> Date: Sun, 26 Nov 2023 20:27:17 -0800 Subject: [PATCH 44/47] Update flow.py --- swarms/structs/flow.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index 5084c82e..19d9a90e 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -249,8 +249,8 @@ class Flow: autosave: Optional[bool] = False, context_length: Optional[int] = 8192, user_name: str = "Human:", - self_healing_enabled: bool = False, - code_interpreter: bool = False, + self_healing_enabled: Optional[bool] = False, + code_interpreter: Optional[bool] = False, multi_modal: Optional[bool] = None, **kwargs: Any, ): From e007e5fe7281a78750ba47e2feab6be722e89330 Mon Sep 17 00:00:00 2001 From: Eternal Reclaimer <98760976+kyegomez@users.noreply.github.com> Date: Sun, 26 Nov 2023 20:28:41 -0800 Subject: [PATCH 45/47] Update mkdocs.yml --- mkdocs.yml | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index 8616cc2f..4644c0d0 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -78,13 +78,13 @@ nav: - swarms.models: - Language: - Overview: "swarms/models/index.md" - - HuggingFaceLLM: "swarms/models/huggingface.md" - - Anthropic: "swarms/models/anthropic.md" - - OpenAI: "swarms/models/openai.md" - - Zephyr: "swarms/models/zephyr.md" - - BioGPT: "swarms/models/biogpt.md" - - MPT7B: "swarms/models/mpt.md" - - Mistral: "swarms/models/mistral.md" + - HuggingFaceLLM: "swarms/models/huggingface.md" + - Anthropic: "swarms/models/anthropic.md" + - OpenAI: "swarms/models/openai.md" + - Zephyr: "swarms/models/zephyr.md" + - BioGPT: "swarms/models/biogpt.md" + - MPT7B: "swarms/models/mpt.md" + - Mistral: "swarms/models/mistral.md" - MultiModal: - Fuyu: "swarms/models/fuyu.md" - Vilt: "swarms/models/vilt.md" @@ -105,9 +105,6 @@ nav: - swarms.memory: - PineconeVectorStoreStore: "swarms/memory/pinecone.md" - PGVectorStore: "swarms/memory/pg.md" -# - swarms.chunkers: -# - BaseChunker: "swarms/chunkers/basechunker.md" -# - PdfChunker: "swarms/chunkers/pdf_chunker.md" - Guides: - Overview: "examples/index.md" - Agents: From b0a4668cf5e5e27d3efa8da762b4a27dcd490554 Mon Sep 17 00:00:00 2001 From: Eternal Reclaimer <98760976+kyegomez@users.noreply.github.com> Date: Sun, 26 Nov 2023 20:30:21 -0800 Subject: [PATCH 46/47] Update mkdocs.yml --- mkdocs.yml | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index 4644c0d0..3a4e6691 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -1,4 +1,3 @@ ---- site_name: Swarms Docs plugins: - glightbox @@ -7,9 +6,6 @@ copyright: "© APAC Corp, Inc." extra_css: - docs/assets/css/extra.css extra: - # analytics: - # provider: google - # property: G-QM8EDPSCB6 social: - icon: fontawesome/solid/house link: assets/img/SwarmsLogoIcon.png @@ -61,8 +57,8 @@ markdown_extensions: nav: - Home: - Overview: "index.md" - - Contributing: "contributing.md" - - Docker Container Setup: "docker_setup.md" + - Contributing: "contributing.md" + - Docker Container Setup: "docker_setup.md" - Swarms: - Overview: "swarms/index.md" - swarms.swarms: @@ -108,9 +104,9 @@ nav: - Guides: - Overview: "examples/index.md" - Agents: - - Flow: "examples/flow.md" - - SequentialWorkflow: "examples/reliable_autonomous_agents.md" - - OmniAgent: "examples/omni_agent.md" + - Flow: "examples/flow.md" + - SequentialWorkflow: "examples/reliable_autonomous_agents.md" + - OmniAgent: "examples/omni_agent.md" - 2O+ Autonomous Agent Blogs: "examples/ideas.md" - Applications: - CustomerSupport: From b5b61d9d439ad8a8053fcf25dcbbee2702905b9e Mon Sep 17 00:00:00 2001 From: Eternal Reclaimer <98760976+kyegomez@users.noreply.github.com> Date: Sun, 26 Nov 2023 20:31:33 -0800 Subject: [PATCH 47/47] Update .readthedocs.yml --- .readthedocs.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.readthedocs.yml b/.readthedocs.yml index 1c969083..e3e74fad 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -1,4 +1,3 @@ ---- version: 2 build:

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zDmaTSnCJKrU?$Zm8u+R+=;9+o+OBNP9bzjX_YohoYTUH0k)@PCW+q@U0EqrEvwy^` ziXs@W%79h)luu3@FPHTImFN`*y2b2vh%l7P`KXztbwLyWZPZsIR@;?W&uD?mnR@Y< z?HTbZ8El~JLNu?;yJ2Nu6+vo)sx+RX-T>Q|ukUf2{pGFl_l^o^+hPNlqK(jSp_dS9 zrGak{JhJ&i#J(Bk^#&WT7s0q=D&2J*X_g>8N|?aX!4NG8IX+0f9d%{u?XLc6Te`ib zJ{(J)@JV+zaSFQvIrI@!8 zgp3)4Gsp0;=R2^j4MJ|ZM9yOmD8HzeG|+GCff%dve8nmN%d_bsbr)KmeZnQvLc{eJ zaIy}@Gn~p$Sq-Io6u+6Dt{>eJEo-)8+&hp3Mm*aNS Date: Fri, 24 Nov 2023 17:35:47 -0800 Subject: [PATCH 20/47] GPT4Vision + multimodal --- .../multi_modal_auto_agent.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py diff --git a/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py b/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py new file mode 100644 index 00000000..f5462847 --- /dev/null +++ b/playground/demos/multi_modal_autonomous_agents/multi_modal_auto_agent.py @@ -0,0 +1,17 @@ +from swarms.structs import Flow +from swarms.models.gpt4_vision_api import GPT4VisionAPI + + +llm = GPT4VisionAPI() + +task = "What is the color of the object?" +img = "images/swarms.jpeg" + +## Initialize the workflow +flow = Flow( + llm=llm, + max_loops="auto", + dashboard=True, +) + +flow.run(task=task, img=img) From 66d9f7086b81224ca44b662608dbb8410cfa3737 Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 17:44:37 -0800 Subject: [PATCH 21/47] gpt4v docs --- docs/swarms/models/gpt4v.md | 318 +++++++++++++++--------------------- 1 file changed, 134 insertions(+), 184 deletions(-) diff --git a/docs/swarms/models/gpt4v.md b/docs/swarms/models/gpt4v.md index 3fe3d81c..69968623 100644 --- a/docs/swarms/models/gpt4v.md +++ b/docs/swarms/models/gpt4v.md @@ -1,251 +1,201 @@ -# `GPT4Vision` Documentation +# `GPT4VisionAPI` Documentation -## Table of Contents -- [Overview](#overview) +**Table of Contents** +- [Introduction](#introduction) - [Installation](#installation) -- [Initialization](#initialization) -- [Methods](#methods) - - [process_img](#process_img) - - [__call__](#__call__) - - [run](#run) - - [arun](#arun) -- [Configuration Options](#configuration-options) -- [Usage Examples](#usage-examples) -- [Additional Tips](#additional-tips) -- [References and Resources](#references-and-resources) - ---- - -## Overview - -The GPT4Vision Model API is designed to provide an easy-to-use interface for interacting with the OpenAI GPT-4 Vision model. This model can generate textual descriptions for images and answer questions related to visual content. Whether you want to describe images or perform other vision-related tasks, GPT4Vision makes it simple and efficient. - -The library offers a straightforward way to send images and tasks to the GPT-4 Vision model and retrieve the generated responses. It handles API communication, authentication, and retries, making it a powerful tool for developers working with computer vision and natural language processing tasks. +- [Module Overview](#module-overview) +- [Class: GPT4VisionAPI](#class-gpt4visionapi) + - [Initialization](#initialization) + - [Methods](#methods) + - [encode_image](#encode_image) + - [run](#run) + - [__call__](#__call__) +- [Examples](#examples) + - [Example 1: Basic Usage](#example-1-basic-usage) + - [Example 2: Custom API Key](#example-2-custom-api-key) + - [Example 3: Adjusting Maximum Tokens](#example-3-adjusting-maximum-tokens) +- [Additional Information](#additional-information) +- [References](#references) + +## Introduction + +Welcome to the documentation for the `GPT4VisionAPI` module! This module is a powerful wrapper for the OpenAI GPT-4 Vision model. It allows you to interact with the model to generate descriptions or answers related to images. This documentation will provide you with comprehensive information on how to use this module effectively. + +## Installation + +Before you start using the `GPT4VisionAPI` module, make sure you have the required dependencies installed. You can install them using the following commands: + +```bash +pip3 install --upgrade swarms +``` -## Installation +## Module Overview -To use the GPT4Vision Model API, you need to install the required dependencies and configure your environment. Follow these steps to get started: +The `GPT4VisionAPI` module serves as a bridge between your application and the OpenAI GPT-4 Vision model. It allows you to send requests to the model and retrieve responses related to images. Here are some key features and functionality provided by this module: -1. Install the required Python package: +- Encoding images to base64 format. +- Running the GPT-4 Vision model with specified tasks and images. +- Customization options such as setting the OpenAI API key and maximum token limit. - ```bash - pip3 install --upgrade swarms - ``` +## Class: GPT4VisionAPI -2. Make sure you have an OpenAI API key. You can obtain one by signing up on the [OpenAI platform](https://beta.openai.com/signup/). +The `GPT4VisionAPI` class is the core component of this module. It encapsulates the functionality required to interact with the GPT-4 Vision model. Below, we'll dive into the class in detail. -3. Set your OpenAI API key as an environment variable. You can do this in your code or your environment configuration. Alternatively, you can provide the API key directly when initializing the `GPT4Vision` class. +### Initialization -## Initialization +When initializing the `GPT4VisionAPI` class, you have the option to provide the OpenAI API key and set the maximum token limit. Here are the parameters and their descriptions: -To start using the GPT4Vision Model API, you need to create an instance of the `GPT4Vision` class. You can customize its behavior by providing various configuration options, but it also comes with sensible defaults. +| Parameter | Type | Default Value | Description | +|---------------------|----------|-------------------------------|----------------------------------------------------------------------------------------------------------| +| openai_api_key | str | `OPENAI_API_KEY` environment variable (if available) | The OpenAI API key. If not provided, it defaults to the `OPENAI_API_KEY` environment variable. | +| max_tokens | int | 300 | The maximum number of tokens to generate in the model's response. | -Here's how you can initialize the `GPT4Vision` class: +Here's how you can initialize the `GPT4VisionAPI` class: ```python -from swarms.models.gpt4v import GPT4Vision - -gpt4vision = GPT4Vision( - api_key="Your Key" -) -``` - -The above code initializes the `GPT4Vision` class with default settings. You can adjust these settings as needed. - -## Methods - -### `process_img` +from swarms.models import GPT4VisionAPI -The `process_img` method is used to preprocess an image before sending it to the GPT-4 Vision model. It takes the image path as input and returns the processed image in a format suitable for API requests. +# Initialize with default API key and max_tokens +api = GPT4VisionAPI() -```python -processed_img = gpt4vision.process_img(img_path) +# Initialize with custom API key and max_tokens +custom_api_key = "your_custom_api_key" +api = GPT4VisionAPI(openai_api_key=custom_api_key, max_tokens=500) ``` -- `img_path` (str): The file path or URL of the image to be processed. +### Methods -### `__call__` +#### encode_image -The `__call__` method is the main method for interacting with the GPT-4 Vision model. It sends the image and tasks to the model and returns the generated response. +This method allows you to encode an image from a URL to base64 format. It's a utility function used internally by the module. ```python -response = gpt4vision(img, tasks) -``` - -- `img` (Union[str, List[str]]): Either a single image URL or a list of image URLs to be used for the API request. -- `tasks` (List[str]): A list of tasks or questions related to the image(s). - -This method returns a `GPT4VisionResponse` object, which contains the generated answer. - -### `run` +def encode_image(img: str) -> str: + """ + Encode image to base64. -The `run` method is an alternative way to interact with the GPT-4 Vision model. It takes a single task and image URL as input and returns the generated response. + Parameters: + - img (str): URL of the image to encode. -```python -response = gpt4vision.run(task, img) + Returns: + str: Base64 encoded image. + """ ``` -- `task` (str): The task or question related to the image. -- `img` (str): The image URL to be used for the API request. - -This method simplifies interactions when dealing with a single task and image. - -### `arun` +#### run -The `arun` method is an asynchronous version of the `run` method. It allows for asynchronous processing of API requests, which can be useful in certain scenarios. +The `run` method is the primary way to interact with the GPT-4 Vision model. It sends a request to the model with a task and an image URL, and it returns the model's response. ```python -import asyncio +def run(task: str, img: str) -> str: + """ + Run the GPT-4 Vision model. -async def main(): - response = await gpt4vision.arun(task, img) - print(response) + Parameters: + - task (str): The task or question related to the image. + - img (str): URL of the image to analyze. -loop = asyncio.get_event_loop() -loop.run_until_complete(main()) + Returns: + str: The model's response. + """ ``` -- `task` (str): The task or question related to the image. -- `img` (str): The image URL to be used for the API request. - -## Configuration Options - -The `GPT4Vision` class provides several configuration options that allow you to customize its behavior: +#### __call__ -- `max_retries` (int): The maximum number of retries to make to the API. Default: 3 -- `backoff_factor` (float): The backoff factor to use for exponential backoff. Default: 2.0 -- `timeout_seconds` (int): The timeout in seconds for the API request. Default: 10 -- `api_key` (str): The API key to use for the API request. Default: None (set via environment variable) -- `quality` (str): The quality of the image to generate. Options: 'low' or 'high'. Default: 'low' -- `max_tokens` (int): The maximum number of tokens to use for the API request. Default: 200 - -## Usage Examples - -### Example 1: Generating Image Descriptions - -```python -gpt4vision = GPT4Vision() -img = "https://example.com/image.jpg" -tasks = ["Describe this image."] -response = gpt4vision(img, tasks) -print(response.answer) -``` - -In this example, we create an instance of `GPT4Vision`, provide an image URL, and ask the model to describe the image. The response contains the generated description. - -### Example 2: Custom Configuration +The `__call__` method is a convenient way to run the GPT-4 Vision model. It has the same functionality as the `run` method. ```python -custom_config = { - "max_retries": 5, - "timeout_seconds": 20, - "quality": "high", - "max_tokens": 300, -} -gpt4vision = GPT4Vision(**custom_config) -img = "https://example.com/another_image.jpg" -tasks = ["What objects can you identify in this image?"] -response = gpt4vision(img, tasks) -print(response.answer) -``` +def __call__(task: str, img: str) -> str: + """ + Run the GPT-4 Vision model (callable). -In this example, we create an instance of `GPT4Vision` with custom configuration options. We set a higher timeout, request high-quality images, and allow more tokens in the response. + Parameters: + - task (str): The task or question related to the image. + - img -### Example 3: Using the `run` Method + (str): URL of the image to analyze. -```python -gpt4vision = GPT4Vision() -img = "https://example.com/image.jpg" -task = "Describe this image in detail." -response = gpt4vision.run(task, img) -print(response) + Returns: + str: The model's response. + """ ``` -In this example, we use the `run` method to simplify the interaction by providing a single task and image URL. +## Examples -# Model Usage and Image Understanding +Let's explore some usage examples of the `GPT4VisionAPI` module to better understand how to use it effectively. -The GPT-4 Vision model processes images in a unique way, allowing it to answer questions about both or each of the images independently. Here's an overview: +### Example 1: Basic Usage -| Purpose | Description | -| --------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | -| Image Understanding | The model is shown two copies of the same image and can answer questions about both or each of the images independently. | +In this example, we'll use the module with the default API key and maximum tokens to analyze an image. -# Image Detail Control +```python +from swarms.models import GPT4VisionAPI -You have control over how the model processes the image and generates textual understanding by using the `detail` parameter, which has two options: `low` and `high`. +# Initialize with default API key and max_tokens +api = GPT4VisionAPI() -| Detail | Description | -| -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| low | Disables the "high-res" model. The model receives a low-res 512 x 512 version of the image and represents the image with a budget of 65 tokens. Ideal for use cases not requiring high detail. | -| high | Enables "high-res" mode. The model first sees the low-res image and then creates detailed crops of input images as 512px squares based on the input image size. Uses a total of 129 tokens. | +# Define the task and image URL +task = "What is the color of the object?" +img = "https://i.imgur.com/2M2ZGwC.jpeg" -# Managing Images +# Run the GPT-4 Vision model +response = api.run(task, img) -To use the Chat Completions API effectively, you must manage the images you pass to the model. Here are some key considerations: +# Print the model's response +print(response) +``` -| Management Aspect | Description | -| ------------------------- | ------------------------------------------------------------------------------------------------- | -| Image Reuse | To pass the same image multiple times, include the image with each API request. | -| Image Size Optimization | Improve latency by downsizing images to meet the expected size requirements. | -| Image Deletion | After processing, images are deleted from OpenAI servers and not retained. No data is used for training. | +### Example 2: Custom API Key -# Limitations +If you have a custom API key, you can initialize the module with it as shown in this example. -While GPT-4 with Vision is powerful, it has some limitations: +```python +from swarms.models import GPT4VisionAPI -| Limitation | Description | -| -------------------------------------------- | --------------------------------------------------------------------------------------------------- | -| Medical Images | Not suitable for interpreting specialized medical images like CT scans. | -| Non-English Text | May not perform optimally when handling non-Latin alphabets, such as Japanese or Korean. | -| Large Text in Images | Enlarge text within images for readability, but avoid cropping important details. | -| Rotated or Upside-Down Text/Images | May misinterpret rotated or upside-down text or images. | -| Complex Visual Elements | May struggle to understand complex graphs or text with varying colors or styles. | -| Spatial Reasoning | Struggles with tasks requiring precise spatial localization, such as identifying chess positions. | -| Accuracy | May generate incorrect descriptions or captions in certain scenarios. | -| Panoramic and Fisheye Images | Struggles with panoramic and fisheye images. | +# Initialize with custom API key and max_tokens +custom_api_key = "your_custom_api_key" +api = GPT4VisionAPI(openai_api_key=custom_api_key, max_tokens=500) -# Calculating Costs +# Define the task and image URL +task = "What is the object in the image?" +img = "https://i.imgur.com/3T3ZHwD.jpeg" -Image inputs are metered and charged in tokens. The token cost depends on the image size and detail option. +# Run the GPT-4 Vision model +response = api.run(task, img) -| Example | Token Cost | -| --------------------------------------------- | ----------- | -| 1024 x 1024 square image in detail: high mode | 765 tokens | -| 2048 x 4096 image in detail: high mode | 1105 tokens | -| 4096 x 8192 image in detail: low mode | 85 tokens | +# Print the model's response +print(response) +``` -# FAQ +### Example 3: Adjusting Maximum Tokens -Here are some frequently asked questions about GPT-4 with Vision: +You can also customize the maximum token limit when initializing the module. In this example, we set it to 1000 tokens. -| Question | Answer | -| -------------------------------------------- | -------------------------------------------------------------------------------------------------- | -| Fine-Tuning Image Capabilities | No, fine-tuning the image capabilities of GPT-4 is not supported at this time. | -| Generating Images | GPT-4 is used for understanding images, not generating them. | -| Supported Image File Types | Supported image file types include PNG (.png), JPEG (.jpeg and .jpg), WEBP (.webp), and non-animated GIF (.gif). | -| Image Size Limitations | Image uploads are restricted to 20MB per image. | -| Image Deletion | Uploaded images are automatically deleted after processing by the model. | -| Learning More | For more details about GPT-4 with Vision, refer to the GPT-4 with Vision system card. | -| CAPTCHA Submission | CAPTCHAs are blocked for safety reasons. | -| Rate Limits | Image processing counts toward your tokens per minute (TPM) limit. Refer to the calculating costs section for details. | -| Image Metadata | The model does not receive image metadata. | -| Handling Unclear Images | If an image is unclear, the model will do its best to interpret it, but results may be less accurate. | +```python +from swarms.models import GPT4VisionAPI +# Initialize with default API key and custom max_tokens +api = GPT4VisionAPI(max_tokens=1000) +# Define the task and image URL +task = "Describe the scene in the image." +img = "https://i.imgur.com/4P4ZRxU.jpeg" -## Additional Tips +# Run the GPT-4 Vision model +response = api.run(task, img) -- Make sure to handle potential exceptions and errors when making API requests. The library includes retries and error handling, but it's essential to handle exceptions gracefully in your code. -- Experiment with different configuration options to optimize the trade-off between response quality and response time based on your specific requirements. +# Print the model's response +print(response) +``` -## References and Resources +## Additional Information -- [OpenAI Platform](https://beta.openai.com/signup/): Sign up for an OpenAI API key. -- [OpenAI API Documentation](https://platform.openai.com/docs/api-reference/chat/create): Official API documentation for the GPT-4 Vision model. +- If you encounter any errors or issues with the module, make sure to check your API key and internet connectivity. +- It's recommended to handle exceptions when using the module to gracefully handle errors. +- You can further customize the module to fit your specific use case by modifying the code as needed. -Now you have a comprehensive understanding of the GPT4Vision Model API, its configuration options, and how to use it for various computer vision and natural language processing tasks. Start experimenting and integrating it into your projects to leverage the power of GPT-4 Vision for image-related tasks. +## References -# Conclusion +- [OpenAI API Documentation](https://beta.openai.com/docs/) -With GPT-4 Vision, you have a powerful tool for understanding and generating textual descriptions for images. By considering its capabilities, limitations, and cost calculations, you can effectively leverage this model for various image-related tasks. \ No newline at end of file +This documentation provides a comprehensive guide on how to use the `GPT4VisionAPI` module effectively. It covers initialization, methods, usage examples, and additional information to ensure a smooth experience when working with the GPT-4 Vision model. \ No newline at end of file From b9fea7b9c82bf3c5a51f13326b1d72ccad54d34d Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 21:25:11 -0800 Subject: [PATCH 22/47] cleanup --- playground/agents/revgpt_agent.py | 28 ---------------------------- pyproject.toml | 2 +- swarms/models/__init__.py | 2 +- swarms/models/gpt4_vision_api.py | 4 +++- 4 files changed, 5 insertions(+), 31 deletions(-) delete mode 100644 playground/agents/revgpt_agent.py diff --git a/playground/agents/revgpt_agent.py b/playground/agents/revgpt_agent.py deleted file mode 100644 index 16a720e8..00000000 --- a/playground/agents/revgpt_agent.py +++ /dev/null @@ -1,28 +0,0 @@ -import os -from dotenv import load_dotenv -from swarms.models.revgptV4 import RevChatGPTModel -from swarms.workers.worker import Worker - -load_dotenv() - -config = { - "model": os.getenv("REVGPT_MODEL"), - "plugin_ids": [os.getenv("REVGPT_PLUGIN_IDS")], - "disable_history": os.getenv("REVGPT_DISABLE_HISTORY") == "True", - "PUID": os.getenv("REVGPT_PUID"), - "unverified_plugin_domains": [ - os.getenv("REVGPT_UNVERIFIED_PLUGIN_DOMAINS") - ], -} - -llm = RevChatGPTModel(access_token=os.getenv("ACCESS_TOKEN"), **config) - -worker = Worker(ai_name="Optimus Prime", llm=llm) - -task = ( - "What were the winning boston marathon times for the past 5 years (ending" - " in 2022)? Generate a table of the year, name, country of origin, and" - " times." -) -response = worker.run(task) -print(response) diff --git a/pyproject.toml b/pyproject.toml index eea95362..dcad7e7e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "swarms" -version = "2.4.0" +version = "2.4.1" description = "Swarms - Pytorch" license = "MIT" authors = ["Kye Gomez "] diff --git a/swarms/models/__init__.py b/swarms/models/__init__.py index deaa5fde..deac803f 100644 --- a/swarms/models/__init__.py +++ b/swarms/models/__init__.py @@ -25,7 +25,7 @@ from swarms.models.idefics import Idefics # noqa: E402 from swarms.models.vilt import Vilt # noqa: E402 from swarms.models.nougat import Nougat # noqa: E402 from swarms.models.layoutlm_document_qa import LayoutLMDocumentQA # noqa: E402 -from swarms.models.gpt4_vision_api import GPT4VisionAPI # noqa: E40 +from swarms.models.gpt4_vision_api import GPT4VisionAPI # noqa: E402 # from swarms.models.gpt4v import GPT4Vision # from swarms.models.dalle3 import Dalle3 diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 87436c55..835384ec 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -2,6 +2,7 @@ import base64 import os import requests from dotenv import load_dotenv +import concurrent.futures # Load environment variables load_dotenv() @@ -135,4 +136,5 @@ class GPT4VisionAPI: except Exception as error: print(f"Error with the request: {error}") raise error - # Function to handle vision tasks \ No newline at end of file + # Function to handle vision tasks + From 9390efb8aa3ed9aa7db3b21d669e3c8e6ab733af Mon Sep 17 00:00:00 2001 From: Kye Date: Fri, 24 Nov 2023 22:05:49 -0800 Subject: [PATCH 23/47] gpt4vision features and api --- README.md | 26 + multi_modal_auto_agent.py | 1 - playground/demos/assembly/assembly.py | 7 +- swarms/models/fast_vit_classes.json | 1000 ------------------------- swarms/models/gpt4_vision_api.py | 162 +++- tests/models/test_gpt4_vision_api.py | 122 ++- tests/models/test_revgptv4.py | 93 --- 7 files changed, 308 insertions(+), 1103 deletions(-) delete mode 100644 swarms/models/fast_vit_classes.json delete mode 100644 tests/models/test_revgptv4.py diff --git a/README.md b/README.md index 2b104caf..2e3adbd4 100644 --- a/README.md +++ b/README.md @@ -117,6 +117,32 @@ workflow.run() for task in workflow.tasks: print(f"Task: {task.description}, Result: {task.result}") +``` + +## `Multi Modal Autonomous Agents` +- Run the flow with multiple modalities useful for various real-world tasks in manufacturing, logistics, and health. + +```python +from swarms.structs import Flow +from swarms.models.gpt4_vision_api import GPT4VisionAPI + +# Initialize the llm +llm = GPT4VisionAPI() + +task = "Analyze this image of an assembly line and identify any issues such as misaligned parts, defects, or deviations from the standard assembly process. IF there is anything unsafe in the image, explain why it is unsafe and how it could be improved." +img = "assembly_line.jpg" + +## Initialize the workflow +flow = Flow( + llm=llm, + max_loops=1, + dashboard=True, +) + +# Run the flow +flow.run(task=task, img=img) + + ``` --- diff --git a/multi_modal_auto_agent.py b/multi_modal_auto_agent.py index 1500349c..0ed2f42f 100644 --- a/multi_modal_auto_agent.py +++ b/multi_modal_auto_agent.py @@ -11,7 +11,6 @@ img = "images/swarms.jpeg" flow = Flow( llm=llm, max_loops="auto", - ) flow.run(task=task, img=img) diff --git a/playground/demos/assembly/assembly.py b/playground/demos/assembly/assembly.py index b0f728e9..d3ebf39a 100644 --- a/playground/demos/assembly/assembly.py +++ b/playground/demos/assembly/assembly.py @@ -4,7 +4,12 @@ from swarms.models.gpt4_vision_api import GPT4VisionAPI llm = GPT4VisionAPI() -task = "Analyze this image of an assembly line and identify any issues such as misaligned parts, defects, or deviations from the standard assembly process. IF there is anything unsafe in the image, explain why it is unsafe and how it could be improved." +task = ( + "Analyze this image of an assembly line and identify any issues such as" + " misaligned parts, defects, or deviations from the standard assembly" + " process. IF there is anything unsafe in the image, explain why it is" + " unsafe and how it could be improved." +) img = "assembly_line.jpg" ## Initialize the workflow diff --git a/swarms/models/fast_vit_classes.json b/swarms/models/fast_vit_classes.json deleted file mode 100644 index 57434253..00000000 --- a/swarms/models/fast_vit_classes.json +++ /dev/null @@ -1,1000 +0,0 @@ -["tench", -"goldfish", -"great white shark", -"tiger shark", -"hammerhead shark", -"electric ray", -"stingray", -"cock", -"hen", -"ostrich", -"brambling", -"goldfinch", -"house finch", -"junco", -"indigo bunting", -"American robin", -"bulbul", -"jay", -"magpie", -"chickadee", -"American dipper", -"kite", -"bald eagle", -"vulture", -"great grey owl", -"fire salamander", -"smooth newt", -"newt", -"spotted salamander", -"axolotl", -"American bullfrog", -"tree frog", -"tailed frog", -"loggerhead sea turtle", -"leatherback sea turtle", -"mud turtle", -"terrapin", -"box turtle", -"banded gecko", -"green iguana", -"Carolina anole", -"desert grassland whiptail lizard", -"agama", -"frilled-necked lizard", -"alligator lizard", -"Gila monster", -"European green lizard", -"chameleon", -"Komodo dragon", -"Nile crocodile", -"American alligator", -"triceratops", -"worm snake", -"ring-necked snake", -"eastern hog-nosed snake", -"smooth green snake", -"kingsnake", -"garter snake", -"water snake", -"vine snake", -"night snake", -"boa constrictor", -"African rock python", -"Indian cobra", -"green mamba", -"sea snake", -"Saharan horned viper", -"eastern diamondback rattlesnake", -"sidewinder", -"trilobite", -"harvestman", -"scorpion", -"yellow garden spider", -"barn spider", -"European garden spider", -"southern black widow", -"tarantula", -"wolf spider", -"tick", -"centipede", -"black grouse", -"ptarmigan", -"ruffed grouse", -"prairie grouse", -"peacock", -"quail", -"partridge", -"grey parrot", -"macaw", -"sulphur-crested cockatoo", -"lorikeet", -"coucal", -"bee eater", -"hornbill", -"hummingbird", -"jacamar", -"toucan", -"duck", -"red-breasted merganser", -"goose", -"black swan", -"tusker", -"echidna", -"platypus", -"wallaby", -"koala", -"wombat", -"jellyfish", -"sea anemone", -"brain coral", -"flatworm", -"nematode", -"conch", -"snail", -"slug", -"sea slug", -"chiton", -"chambered nautilus", -"Dungeness crab", -"rock crab", -"fiddler crab", -"red king crab", -"American lobster", -"spiny lobster", -"crayfish", -"hermit crab", -"isopod", -"white stork", -"black stork", -"spoonbill", -"flamingo", -"little blue heron", -"great egret", -"bittern", -"crane (bird)", -"limpkin", -"common gallinule", -"American coot", -"bustard", -"ruddy turnstone", -"dunlin", -"common redshank", -"dowitcher", -"oystercatcher", -"pelican", -"king penguin", -"albatross", -"grey whale", -"killer whale", -"dugong", -"sea lion", -"Chihuahua", -"Japanese Chin", -"Maltese", -"Pekingese", -"Shih Tzu", -"King Charles Spaniel", -"Papillon", -"toy terrier", -"Rhodesian Ridgeback", -"Afghan Hound", -"Basset Hound", -"Beagle", -"Bloodhound", -"Bluetick Coonhound", -"Black and Tan Coonhound", -"Treeing Walker Coonhound", -"English foxhound", -"Redbone Coonhound", -"borzoi", -"Irish Wolfhound", -"Italian Greyhound", -"Whippet", -"Ibizan Hound", -"Norwegian Elkhound", -"Otterhound", -"Saluki", -"Scottish Deerhound", -"Weimaraner", -"Staffordshire Bull Terrier", -"American Staffordshire Terrier", -"Bedlington Terrier", -"Border Terrier", -"Kerry Blue Terrier", -"Irish Terrier", -"Norfolk Terrier", -"Norwich Terrier", -"Yorkshire Terrier", -"Wire Fox Terrier", -"Lakeland Terrier", -"Sealyham Terrier", -"Airedale Terrier", -"Cairn Terrier", -"Australian Terrier", -"Dandie Dinmont Terrier", -"Boston Terrier", -"Miniature Schnauzer", -"Giant Schnauzer", -"Standard Schnauzer", -"Scottish Terrier", -"Tibetan Terrier", -"Australian Silky Terrier", -"Soft-coated Wheaten Terrier", -"West Highland White Terrier", -"Lhasa Apso", -"Flat-Coated Retriever", -"Curly-coated Retriever", -"Golden Retriever", -"Labrador Retriever", -"Chesapeake Bay Retriever", -"German Shorthaired Pointer", -"Vizsla", -"English Setter", -"Irish Setter", -"Gordon Setter", -"Brittany Spaniel", -"Clumber Spaniel", -"English Springer Spaniel", -"Welsh Springer Spaniel", -"Cocker Spaniels", -"Sussex Spaniel", -"Irish Water Spaniel", -"Kuvasz", -"Schipperke", -"Groenendael", -"Malinois", -"Briard", -"Australian Kelpie", -"Komondor", -"Old English Sheepdog", -"Shetland Sheepdog", -"collie", -"Border Collie", -"Bouvier des Flandres", -"Rottweiler", -"German Shepherd Dog", -"Dobermann", -"Miniature Pinscher", -"Greater Swiss Mountain Dog", -"Bernese Mountain Dog", -"Appenzeller Sennenhund", -"Entlebucher Sennenhund", -"Boxer", -"Bullmastiff", -"Tibetan Mastiff", -"French Bulldog", -"Great Dane", -"St. Bernard", -"husky", -"Alaskan Malamute", -"Siberian Husky", -"Dalmatian", -"Affenpinscher", -"Basenji", -"pug", -"Leonberger", -"Newfoundland", -"Pyrenean Mountain Dog", -"Samoyed", -"Pomeranian", -"Chow Chow", -"Keeshond", -"Griffon Bruxellois", -"Pembroke Welsh Corgi", -"Cardigan Welsh Corgi", -"Toy Poodle", -"Miniature Poodle", -"Standard Poodle", -"Mexican hairless dog", -"grey wolf", -"Alaskan tundra wolf", -"red wolf", -"coyote", -"dingo", -"dhole", -"African wild dog", -"hyena", -"red fox", -"kit fox", -"Arctic fox", -"grey fox", -"tabby cat", -"tiger cat", -"Persian cat", -"Siamese cat", -"Egyptian Mau", -"cougar", -"lynx", -"leopard", -"snow leopard", -"jaguar", -"lion", -"tiger", -"cheetah", -"brown bear", -"American black bear", -"polar bear", -"sloth bear", -"mongoose", -"meerkat", -"tiger beetle", -"ladybug", -"ground beetle", -"longhorn beetle", -"leaf beetle", -"dung beetle", -"rhinoceros beetle", -"weevil", -"fly", -"bee", -"ant", -"grasshopper", -"cricket", -"stick insect", -"cockroach", -"mantis", -"cicada", -"leafhopper", -"lacewing", -"dragonfly", -"damselfly", -"red admiral", -"ringlet", -"monarch butterfly", -"small white", -"sulphur butterfly", -"gossamer-winged butterfly", -"starfish", -"sea urchin", -"sea cucumber", -"cottontail rabbit", -"hare", -"Angora rabbit", -"hamster", -"porcupine", -"fox squirrel", -"marmot", -"beaver", -"guinea pig", -"common sorrel", -"zebra", -"pig", -"wild boar", -"warthog", -"hippopotamus", -"ox", -"water buffalo", -"bison", -"ram", -"bighorn sheep", -"Alpine ibex", -"hartebeest", -"impala", -"gazelle", -"dromedary", -"llama", -"weasel", -"mink", -"European polecat", -"black-footed ferret", -"otter", -"skunk", -"badger", -"armadillo", -"three-toed sloth", -"orangutan", -"gorilla", -"chimpanzee", -"gibbon", -"siamang", -"guenon", -"patas monkey", -"baboon", -"macaque", -"langur", -"black-and-white colobus", -"proboscis monkey", -"marmoset", -"white-headed capuchin", -"howler monkey", -"titi", -"Geoffroy's spider monkey", -"common squirrel monkey", -"ring-tailed lemur", -"indri", -"Asian elephant", -"African bush elephant", -"red panda", -"giant panda", -"snoek", -"eel", -"coho salmon", -"rock beauty", -"clownfish", -"sturgeon", -"garfish", -"lionfish", -"pufferfish", -"abacus", -"abaya", -"academic gown", -"accordion", -"acoustic guitar", -"aircraft carrier", -"airliner", -"airship", -"altar", -"ambulance", -"amphibious vehicle", -"analog clock", -"apiary", -"apron", -"waste container", -"assault rifle", -"backpack", -"bakery", -"balance beam", -"balloon", -"ballpoint pen", -"Band-Aid", -"banjo", -"baluster", -"barbell", -"barber chair", -"barbershop", -"barn", -"barometer", -"barrel", -"wheelbarrow", -"baseball", -"basketball", -"bassinet", -"bassoon", -"swimming cap", -"bath towel", -"bathtub", -"station wagon", -"lighthouse", -"beaker", -"military cap", -"beer bottle", -"beer glass", -"bell-cot", -"bib", -"tandem bicycle", -"bikini", -"ring binder", -"binoculars", -"birdhouse", -"boathouse", -"bobsleigh", -"bolo tie", -"poke bonnet", -"bookcase", -"bookstore", -"bottle cap", -"bow", -"bow tie", -"brass", -"bra", -"breakwater", -"breastplate", -"broom", -"bucket", -"buckle", -"bulletproof vest", -"high-speed train", -"butcher shop", -"taxicab", -"cauldron", -"candle", -"cannon", -"canoe", -"can opener", -"cardigan", -"car mirror", -"carousel", -"tool kit", -"carton", -"car wheel", -"automated teller machine", -"cassette", -"cassette player", -"castle", -"catamaran", -"CD player", -"cello", -"mobile phone", -"chain", -"chain-link fence", -"chain mail", -"chainsaw", -"chest", -"chiffonier", -"chime", -"china cabinet", -"Christmas stocking", -"church", -"movie theater", -"cleaver", -"cliff dwelling", -"cloak", -"clogs", -"cocktail shaker", -"coffee mug", -"coffeemaker", -"coil", -"combination lock", -"computer keyboard", -"confectionery store", -"container ship", -"convertible", -"corkscrew", -"cornet", -"cowboy boot", -"cowboy hat", -"cradle", -"crane (machine)", -"crash helmet", -"crate", -"infant bed", -"Crock Pot", -"croquet ball", -"crutch", -"cuirass", -"dam", -"desk", -"desktop computer", -"rotary dial telephone", -"diaper", -"digital clock", -"digital watch", -"dining table", -"dishcloth", -"dishwasher", -"disc brake", -"dock", -"dog sled", -"dome", -"doormat", -"drilling rig", -"drum", -"drumstick", -"dumbbell", -"Dutch oven", -"electric fan", -"electric guitar", -"electric locomotive", -"entertainment center", -"envelope", -"espresso machine", -"face powder", -"feather boa", -"filing cabinet", -"fireboat", -"fire engine", -"fire screen sheet", -"flagpole", -"flute", -"folding chair", -"football helmet", -"forklift", -"fountain", -"fountain pen", -"four-poster bed", -"freight car", -"French horn", -"frying pan", -"fur coat", -"garbage truck", -"gas mask", -"gas pump", -"goblet", -"go-kart", -"golf ball", -"golf cart", -"gondola", -"gong", -"gown", -"grand piano", -"greenhouse", -"grille", -"grocery store", -"guillotine", -"barrette", -"hair spray", -"half-track", -"hammer", -"hamper", -"hair dryer", -"hand-held computer", -"handkerchief", -"hard disk drive", -"harmonica", -"harp", -"harvester", -"hatchet", -"holster", -"home theater", -"honeycomb", -"hook", -"hoop skirt", -"horizontal bar", -"horse-drawn vehicle", -"hourglass", -"iPod", -"clothes iron", -"jack-o'-lantern", -"jeans", -"jeep", -"T-shirt", -"jigsaw puzzle", -"pulled rickshaw", -"joystick", -"kimono", -"knee pad", -"knot", -"lab coat", -"ladle", -"lampshade", -"laptop computer", -"lawn mower", -"lens cap", -"paper knife", -"library", -"lifeboat", -"lighter", -"limousine", -"ocean liner", -"lipstick", -"slip-on shoe", -"lotion", -"speaker", -"loupe", -"sawmill", -"magnetic compass", -"mail bag", -"mailbox", -"tights", -"tank suit", -"manhole cover", -"maraca", -"marimba", -"mask", -"match", -"maypole", -"maze", -"measuring cup", -"medicine chest", -"megalith", -"microphone", -"microwave oven", -"military uniform", -"milk can", -"minibus", -"miniskirt", -"minivan", -"missile", -"mitten", -"mixing bowl", -"mobile home", -"Model T", -"modem", -"monastery", -"monitor", -"moped", -"mortar", -"square academic cap", -"mosque", -"mosquito net", -"scooter", -"mountain bike", -"tent", -"computer mouse", -"mousetrap", -"moving van", -"muzzle", -"nail", -"neck brace", -"necklace", -"nipple", -"notebook computer", -"obelisk", -"oboe", -"ocarina", -"odometer", -"oil filter", -"organ", -"oscilloscope", -"overskirt", -"bullock cart", -"oxygen mask", -"packet", -"paddle", -"paddle wheel", -"padlock", -"paintbrush", -"pajamas", -"palace", -"pan flute", -"paper towel", -"parachute", -"parallel bars", -"park bench", -"parking meter", -"passenger car", -"patio", -"payphone", -"pedestal", -"pencil case", -"pencil sharpener", -"perfume", -"Petri dish", -"photocopier", -"plectrum", -"Pickelhaube", -"picket fence", -"pickup truck", -"pier", -"piggy bank", -"pill bottle", -"pillow", -"ping-pong ball", -"pinwheel", -"pirate ship", -"pitcher", -"hand plane", -"planetarium", -"plastic bag", -"plate rack", -"plow", -"plunger", -"Polaroid camera", -"pole", -"police van", -"poncho", -"billiard table", -"soda bottle", -"pot", -"potter's wheel", -"power drill", -"prayer rug", -"printer", -"prison", -"projectile", -"projector", -"hockey puck", -"punching bag", -"purse", -"quill", -"quilt", -"race car", -"racket", -"radiator", -"radio", -"radio telescope", -"rain barrel", -"recreational vehicle", -"reel", -"reflex camera", -"refrigerator", -"remote control", -"restaurant", -"revolver", -"rifle", -"rocking chair", -"rotisserie", -"eraser", -"rugby ball", -"ruler", -"running shoe", -"safe", -"safety pin", -"salt shaker", -"sandal", -"sarong", -"saxophone", -"scabbard", -"weighing scale", -"school bus", -"schooner", -"scoreboard", -"CRT screen", -"screw", -"screwdriver", -"seat belt", -"sewing machine", -"shield", -"shoe store", -"shoji", -"shopping basket", -"shopping cart", -"shovel", -"shower cap", -"shower curtain", -"ski", -"ski mask", -"sleeping bag", -"slide rule", -"sliding door", -"slot machine", -"snorkel", -"snowmobile", -"snowplow", -"soap dispenser", -"soccer ball", -"sock", -"solar thermal collector", -"sombrero", -"soup bowl", -"space bar", -"space heater", -"space shuttle", -"spatula", -"motorboat", -"spider web", -"spindle", -"sports car", -"spotlight", -"stage", -"steam locomotive", -"through arch bridge", -"steel drum", -"stethoscope", -"scarf", -"stone wall", -"stopwatch", -"stove", -"strainer", -"tram", -"stretcher", -"couch", -"stupa", -"submarine", -"suit", -"sundial", -"sunglass", -"sunglasses", -"sunscreen", -"suspension bridge", -"mop", -"sweatshirt", -"swimsuit", -"swing", -"switch", -"syringe", -"table lamp", -"tank", -"tape player", -"teapot", -"teddy bear", -"television", -"tennis ball", -"thatched roof", -"front curtain", -"thimble", -"threshing machine", -"throne", -"tile roof", -"toaster", -"tobacco shop", -"toilet seat", -"torch", -"totem pole", -"tow truck", -"toy store", -"tractor", -"semi-trailer truck", -"tray", -"trench coat", -"tricycle", -"trimaran", -"tripod", -"triumphal arch", -"trolleybus", -"trombone", -"tub", -"turnstile", -"typewriter keyboard", -"umbrella", -"unicycle", -"upright piano", -"vacuum cleaner", -"vase", -"vault", -"velvet", -"vending machine", -"vestment", -"viaduct", -"violin", -"volleyball", -"waffle iron", -"wall clock", -"wallet", -"wardrobe", -"military aircraft", -"sink", -"washing machine", -"water bottle", -"water jug", -"water tower", -"whiskey jug", -"whistle", -"wig", -"window screen", -"window shade", -"Windsor tie", -"wine bottle", -"wing", -"wok", -"wooden spoon", -"wool", -"split-rail fence", -"shipwreck", -"yawl", -"yurt", -"website", -"comic book", -"crossword", -"traffic sign", -"traffic light", -"dust jacket", -"menu", -"plate", -"guacamole", -"consomme", -"hot pot", -"trifle", -"ice cream", -"ice pop", -"baguette", -"bagel", -"pretzel", -"cheeseburger", -"hot dog", -"mashed potato", -"cabbage", -"broccoli", -"cauliflower", -"zucchini", -"spaghetti squash", -"acorn squash", -"butternut squash", -"cucumber", -"artichoke", -"bell pepper", -"cardoon", -"mushroom", -"Granny Smith", -"strawberry", -"orange", -"lemon", -"fig", -"pineapple", -"banana", -"jackfruit", -"custard apple", -"pomegranate", -"hay", -"carbonara", -"chocolate syrup", -"dough", -"meatloaf", -"pizza", -"pot pie", -"burrito", -"red wine", -"espresso", -"cup", -"eggnog", -"alp", -"bubble", -"cliff", -"coral reef", -"geyser", -"lakeshore", -"promontory", -"shoal", -"seashore", -"valley", -"volcano", -"baseball player", -"bridegroom", -"scuba diver", -"rapeseed", -"daisy", -"yellow lady's slipper", -"corn", -"acorn", -"rose hip", -"horse chestnut seed", -"coral fungus", -"agaric", -"gyromitra", -"stinkhorn mushroom", -"earth star", -"hen-of-the-woods", -"bolete", -"ear of corn", -"toilet paper"] \ No newline at end of file diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 835384ec..2a242670 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -1,8 +1,15 @@ +import asyncio import base64 +import concurrent.futures +from termcolor import colored +import json import os +from concurrent.futures import ThreadPoolExecutor +from typing import List, Tuple + +import aiohttp import requests from dotenv import load_dotenv -import concurrent.futures # Load environment variables load_dotenv() @@ -22,7 +29,7 @@ class GPT4VisionAPI: max_tokens : int The maximum number of tokens to generate. Defaults to 300. - + Methods ------- encode_image(img: str) @@ -43,16 +50,29 @@ class GPT4VisionAPI: """ - def __init__(self, openai_api_key: str = openai_api_key, max_tokens: str = 300): + def __init__( + self, + openai_api_key: str = openai_api_key, + model_name: str = "gpt-4-vision-preview", + max_workers: int = 10, + max_tokens: str = 300, + openai_proxy: str = "https://api.openai.com/v1/chat/completions", + ): super().__init__() self.openai_api_key = openai_api_key + self.model_name = model_name + self.max_workers = max_workers self.max_tokens = max_tokens + self.openai_proxy = openai_proxy def encode_image(self, img: str): """Encode image to base64.""" with open(img, "rb") as image_file: return base64.b64encode(image_file.read()).decode("utf-8") + def download_img_then_encode(self, img: str): + """Download image from URL then encode image to base64 using requests""" + # Function to handle vision tasks def run(self, task: str, img: str): """Run the model.""" @@ -63,7 +83,7 @@ class GPT4VisionAPI: "Authorization": f"Bearer {openai_api_key}", } payload = { - "model": "gpt-4-vision-preview", + "model": self.model_name, "messages": [ { "role": "user", @@ -125,7 +145,7 @@ class GPT4VisionAPI: "max_tokens": self.max_tokens, } response = requests.post( - "https://api.openai.com/v1/chat/completions", + self.openai_proxy, headers=headers, json=payload, ) @@ -138,3 +158,135 @@ class GPT4VisionAPI: raise error # Function to handle vision tasks + def run_many( + self, + tasks: List[str], + imgs: List[str], + ): + """ + Run the model on multiple tasks and images all at once using concurrent + + """ + # Instantiate the thread pool executor + with ThreadPoolExecutor(max_workers=self.max_workers) as executor: + results = executor.map(self.run, tasks, imgs) + + # Print the results for debugging + for result in results: + print(result) + + return list(results) + + async def arun( + self, + task: str, + img: str, + ): + """ + Asynchronously run the model + + Overview: + --------- + This method is used to asynchronously run the model. It is used to run the model + on a single task and image. + + Parameters: + ---------- + task : str + The task to run the model on. + img : str + The image to run the task on + + """ + try: + base64_image = self.encode_image(img) + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {openai_api_key}", + } + payload = { + "model": "gpt-4-vision-preview", + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": task}, + { + "type": "image_url", + "image_url": { + "url": ( + f"data:image/jpeg;base64,{base64_image}" + ) + }, + }, + ], + } + ], + "max_tokens": self.max_tokens, + } + async with aiohttp.ClientSession() as session: + async with session.post( + self.openai_proxy, headers=headers, data=json.dumps(payload) + ) as response: + out = await response.json() + content = out["choices"][0]["message"]["content"] + print(content) + except Exception as error: + print(f"Error with the request {error}") + raise error + + def run_batch(self, tasks_images: List[Tuple[str, str]]) -> List[str]: + """Process a batch of tasks and images""" + with concurrent.futures.ThreadPoolExecutor() as executor: + futures = [ + executor.submit(self.run, task, img) + for task, img in tasks_images + ] + results = [future.result() for future in futures] + return results + + async def run_batch_async( + self, tasks_images: List[Tuple[str, str]] + ) -> List[str]: + """Process a batch of tasks and images asynchronously""" + loop = asyncio.get_event_loop() + futures = [ + loop.run_in_executor(None, self.run, task, img) + for task, img in tasks_images + ] + return await asyncio.gather(*futures) + + async def run_batch_async_with_retries( + self, tasks_images: List[Tuple[str, str]] + ) -> List[str]: + """Process a batch of tasks and images asynchronously with retries""" + loop = asyncio.get_event_loop() + futures = [ + loop.run_in_executor(None, self.run_with_retries, task, img) + for task, img in tasks_images + ] + return await asyncio.gather(*futures) + + def health_check(self): + """Health check for the GPT4Vision model""" + try: + response = requests.get("https://api.openai.com/v1/engines") + return response.status_code == 200 + except requests.RequestException as error: + print(f"Health check failed: {error}") + return False + + def print_dashboard(self): + dashboard = print( + colored( + f""" + GPT4Vision Dashboard + ------------------- + Model: {self.model_name} + Max Workers: {self.max_workers} + OpenAIProxy: {self.openai_proxy} + """, + "green", + ) + ) + return dashboard diff --git a/tests/models/test_gpt4_vision_api.py b/tests/models/test_gpt4_vision_api.py index df2379a8..bca3b5f6 100644 --- a/tests/models/test_gpt4_vision_api.py +++ b/tests/models/test_gpt4_vision_api.py @@ -1,9 +1,12 @@ +import asyncio +import os +from unittest.mock import AsyncMock, Mock, mock_open, patch +from aiohttp import ClientResponseError import pytest -from unittest.mock import mock_open, patch, Mock +from dotenv import load_dotenv from requests.exceptions import RequestException + from swarms.models.gpt4_vision_api import GPT4VisionAPI -import os -from dotenv import load_dotenv load_dotenv() @@ -120,3 +123,116 @@ def test_call_method_with_exception(gpt_api): with patch("requests.post", side_effect=Exception("Test Exception")): with pytest.raises(Exception): gpt_api(task, img_url) + + +@pytest.mark.asyncio +async def test_arun_success(vision_api): + expected_response = { + "choices": [{"message": {"content": "This is the model's response."}}] + } + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + return_value=AsyncMock(json=AsyncMock(return_value=expected_response)), + ) as mock_post: + result = await vision_api.arun("What is this?", img) + mock_post.assert_called_once() + assert result == "This is the model's response." + + +@pytest.mark.asyncio +async def test_arun_request_error(vision_api): + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + side_effect=Exception("Request Error"), + ) as mock_post: + with pytest.raises(Exception): + await vision_api.arun("What is this?", img) + + +def test_run_many_success(vision_api): + expected_response = { + "choices": [{"message": {"content": "This is the model's response."}}] + } + with patch( + "requests.post", return_value=Mock(json=lambda: expected_response) + ) as mock_post: + tasks = ["What is this?", "What is that?"] + imgs = [img, img] + results = vision_api.run_many(tasks, imgs) + assert mock_post.call_count == 2 + assert results == [ + "This is the model's response.", + "This is the model's response.", + ] + + +def test_run_many_request_error(vision_api): + with patch( + "requests.post", side_effect=RequestException("Request Error") + ) as mock_post: + tasks = ["What is this?", "What is that?"] + imgs = [img, img] + with pytest.raises(RequestException): + vision_api.run_many(tasks, imgs) + + +@pytest.mark.asyncio +async def test_arun_json_decode_error(vision_api): + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + return_value=AsyncMock(json=AsyncMock(side_effect=ValueError)), + ) as mock_post: + with pytest.raises(ValueError): + await vision_api.arun("What is this?", img) + + +@pytest.mark.asyncio +async def test_arun_api_error(vision_api): + error_response = {"error": {"message": "API Error"}} + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + return_value=AsyncMock(json=AsyncMock(return_value=error_response)), + ) as mock_post: + with pytest.raises(Exception, match="API Error"): + await vision_api.arun("What is this?", img) + + +@pytest.mark.asyncio +async def test_arun_unexpected_response(vision_api): + unexpected_response = {"unexpected": "response"} + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + return_value=AsyncMock( + json=AsyncMock(return_value=unexpected_response) + ), + ) as mock_post: + with pytest.raises(Exception, match="Unexpected response"): + await vision_api.arun("What is this?", img) + + +@pytest.mark.asyncio +async def test_arun_retries(vision_api): + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + side_effect=ClientResponseError(None, None), + ) as mock_post: + with pytest.raises(ClientResponseError): + await vision_api.arun("What is this?", img) + assert mock_post.call_count == vision_api.retries + 1 + + +@pytest.mark.asyncio +async def test_arun_timeout(vision_api): + with patch( + "aiohttp.ClientSession.post", + new_callable=AsyncMock, + side_effect=asyncio.TimeoutError, + ) as mock_post: + with pytest.raises(asyncio.TimeoutError): + await vision_api.arun("What is this?", img) diff --git a/tests/models/test_revgptv4.py b/tests/models/test_revgptv4.py deleted file mode 100644 index 7a40ab30..00000000 --- a/tests/models/test_revgptv4.py +++ /dev/null @@ -1,93 +0,0 @@ -import unittest -from unittest.mock import patch -from RevChatGPTModelv4 import RevChatGPTModelv4 - - -class TestRevChatGPT(unittest.TestCase): - def setUp(self): - self.access_token = "123" - self.model = RevChatGPTModelv4(access_token=self.access_token) - - def test_run(self): - prompt = "What is the capital of France?" - self.model.start_time = 10 - self.model.end_time = 20 - response = self.model.run(prompt) - self.assertEqual(response, "The capital of France is Paris.") - self.assertEqual(self.model.start_time, 10) - self.assertEqual(self.model.end_time, 20) - - def test_generate_summary(self): - text = "Hello world. This is some text. It has multiple sentences." - summary = self.model.generate_summary(text) - self.assertEqual(summary, "") - - @patch("RevChatGPTModelv4.Chatbot.install_plugin") - def test_enable_plugin(self, mock_install_plugin): - plugin_id = "plugin123" - self.model.enable_plugin(plugin_id) - mock_install_plugin.assert_called_with(plugin_id=plugin_id) - - @patch("RevChatGPTModelv4.Chatbot.get_plugins") - def test_list_plugins(self, mock_get_plugins): - mock_get_plugins.return_value = [{"id": "123", "name": "Test Plugin"}] - plugins = self.model.list_plugins() - self.assertEqual(len(plugins), 1) - self.assertEqual(plugins[0]["id"], "123") - self.assertEqual(plugins[0]["name"], "Test Plugin") - - @patch("RevChatGPTModelv4.Chatbot.get_conversations") - def test_get_conversations(self, mock_get_conversations): - self.model.chatbot.get_conversations() - mock_get_conversations.assert_called() - - @patch("RevChatGPTModelv4.Chatbot.get_msg_history") - def test_get_msg_history(self, mock_get_msg_history): - convo_id = "123" - self.model.chatbot.get_msg_history(convo_id) - mock_get_msg_history.assert_called_with(convo_id) - - @patch("RevChatGPTModelv4.Chatbot.share_conversation") - def test_share_conversation(self, mock_share_conversation): - self.model.chatbot.share_conversation() - mock_share_conversation.assert_called() - - @patch("RevChatGPTModelv4.Chatbot.gen_title") - def test_gen_title(self, mock_gen_title): - convo_id = "123" - message_id = "456" - self.model.chatbot.gen_title(convo_id, message_id) - mock_gen_title.assert_called_with(convo_id, message_id) - - @patch("RevChatGPTModelv4.Chatbot.change_title") - def test_change_title(self, mock_change_title): - convo_id = "123" - title = "New Title" - self.model.chatbot.change_title(convo_id, title) - mock_change_title.assert_called_with(convo_id, title) - - @patch("RevChatGPTModelv4.Chatbot.delete_conversation") - def test_delete_conversation(self, mock_delete_conversation): - convo_id = "123" - self.model.chatbot.delete_conversation(convo_id) - mock_delete_conversation.assert_called_with(convo_id) - - @patch("RevChatGPTModelv4.Chatbot.clear_conversations") - def test_clear_conversations(self, mock_clear_conversations): - self.model.chatbot.clear_conversations() - mock_clear_conversations.assert_called() - - @patch("RevChatGPTModelv4.Chatbot.rollback_conversation") - def test_rollback_conversation(self, mock_rollback_conversation): - num = 2 - self.model.chatbot.rollback_conversation(num) - mock_rollback_conversation.assert_called_with(num) - - @patch("RevChatGPTModelv4.Chatbot.reset_chat") - def test_reset_chat(self, mock_reset_chat): - self.model.chatbot.reset_chat() - mock_reset_chat.assert_called() - - -if __name__ == "__main__": - unittest.main() From 51c82cf1f2fb31fcf31a148e7dcbbe1dfb69c377 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 02:16:59 -0800 Subject: [PATCH 24/47] Jarvis demo, base multimmodalmodel, whisperx -> whisperx_model --- .../jarvis_multi_modal_auto_agent/jarvis.py | 20 ++ swarms/models/__init__.py | 4 +- swarms/models/base_multimodal_model.py | 209 ++++++++++++++++++ swarms/models/fuyu.py | 10 +- swarms/models/gpt4_vision_api.py | 1 - swarms/models/kosmos_two.py | 37 ++-- .../models/{whisperx.py => whisperx_model.py} | 22 +- tests/models/test_whisperx.py | 2 +- 8 files changed, 263 insertions(+), 42 deletions(-) create mode 100644 playground/demos/jarvis_multi_modal_auto_agent/jarvis.py create mode 100644 swarms/models/base_multimodal_model.py rename swarms/models/{whisperx.py => whisperx_model.py} (85%) diff --git a/playground/demos/jarvis_multi_modal_auto_agent/jarvis.py b/playground/demos/jarvis_multi_modal_auto_agent/jarvis.py new file mode 100644 index 00000000..3e0a05cc --- /dev/null +++ b/playground/demos/jarvis_multi_modal_auto_agent/jarvis.py @@ -0,0 +1,20 @@ +from swarms.structs import Flow +from swarms.models.gpt4_vision_api import GPT4VisionAPI +from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( + MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, +) + + +llm = GPT4VisionAPI() + +task = "What is the color of the object?" +img = "images/swarms.jpeg" + +## Initialize the workflow +flow = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, + max_loops="auto", +) + +flow.run(task=task, img=img) diff --git a/swarms/models/__init__.py b/swarms/models/__init__.py index deac803f..b7f3b8ce 100644 --- a/swarms/models/__init__.py +++ b/swarms/models/__init__.py @@ -20,8 +20,6 @@ from swarms.models.mpt import MPT7B # noqa: E402 # MultiModal Models from swarms.models.idefics import Idefics # noqa: E402 - -# from swarms.models.kosmos_two import Kosmos # noqa: E402 from swarms.models.vilt import Vilt # noqa: E402 from swarms.models.nougat import Nougat # noqa: E402 from swarms.models.layoutlm_document_qa import LayoutLMDocumentQA # noqa: E402 @@ -30,6 +28,8 @@ from swarms.models.gpt4_vision_api import GPT4VisionAPI # noqa: E402 # from swarms.models.gpt4v import GPT4Vision # from swarms.models.dalle3 import Dalle3 # from swarms.models.distilled_whisperx import DistilWhisperModel # noqa: E402 +# from swarms.models.whisperx_model import WhisperX # noqa: E402 +# from swarms.models.kosmos_two import Kosmos # noqa: E402 __all__ = [ "Anthropic", diff --git a/swarms/models/base_multimodal_model.py b/swarms/models/base_multimodal_model.py new file mode 100644 index 00000000..54eed0ed --- /dev/null +++ b/swarms/models/base_multimodal_model.py @@ -0,0 +1,209 @@ +import asyncio +import base64 +import concurrent.futures +import time +from concurrent import ThreadPoolExecutor +from io import BytesIO +from typing import List, Optional, Tuple + +import requests +from ABC import abstractmethod +from PIL import Image + + +class BaseMultiModalModel: + def __init__( + self, + model_name: Optional[str], + temperature: Optional[int] = 0.5, + max_tokens: Optional[int] = 500, + max_workers: Optional[int] = 10, + top_p: Optional[int] = 1, + top_k: Optional[int] = 50, + device: Optional[str] = "cuda", + max_new_tokens: Optional[int] = 500, + retries: Optional[int] = 3, + ): + self.model_name = model_name + self.temperature = temperature + self.max_tokens = max_tokens + self.max_workers = max_workers + self.top_p = top_p + self.top_k = top_k + self.device = device + self.max_new_tokens = max_new_tokens + self.retries = retries + self.chat_history = [] + + + @abstractmethod + def __call__(self, text: str, img: str): + """Run the model""" + pass + + def run(self, task: str, img: str): + """Run the model""" + pass + + async def arun(self, task: str, img: str): + """Run the model asynchronously""" + pass + + def get_img_from_web(self, img: str): + """Get the image from the web""" + try: + response = requests.get(img) + response.raise_for_status() + image_pil = Image.open(BytesIO(response.content)) + return image_pil + except requests.RequestException as error: + print(f"Error fetching image from {img} and error: {error}") + return None + + def encode_img(self, img: str): + """Encode the image to base64""" + with open(img, "rb") as image_file: + return base64.b64encode(image_file.read()).decode("utf-8") + + def get_img(self, img: str): + """Get the image from the path""" + image_pil = Image.open(img) + return image_pil + + def clear_chat_history(self): + """Clear the chat history""" + self.chat_history = [] + + def run_many( + self, + tasks: List[str], + imgs: List[str], + ): + """ + Run the model on multiple tasks and images all at once using concurrent + + Args: + tasks (List[str]): List of tasks + imgs (List[str]): List of image paths + + Returns: + List[str]: List of responses + + + """ + # Instantiate the thread pool executor + with ThreadPoolExecutor(max_workers=self.max_workers) as executor: + results = executor.map(self.run, tasks, imgs) + + # Print the results for debugging + for result in results: + print(result) + + + def run_batch(self, tasks_images: List[Tuple[str, str]]) -> List[str]: + """Process a batch of tasks and images""" + with concurrent.futures.ThreadPoolExecutor() as executor: + futures = [ + executor.submit(self.run, task, img) + for task, img in tasks_images + ] + results = [future.result() for future in futures] + return results + + async def run_batch_async( + self, tasks_images: List[Tuple[str, str]] + ) -> List[str]: + """Process a batch of tasks and images asynchronously""" + loop = asyncio.get_event_loop() + futures = [ + loop.run_in_executor(None, self.run, task, img) + for task, img in tasks_images + ] + return await asyncio.gather(*futures) + + async def run_batch_async_with_retries( + self, tasks_images: List[Tuple[str, str]] + ) -> List[str]: + """Process a batch of tasks and images asynchronously with retries""" + loop = asyncio.get_event_loop() + futures = [ + loop.run_in_executor(None, self.run_with_retries, task, img) + for task, img in tasks_images + ] + return await asyncio.gather(*futures) + + def unique_chat_history(self): + """Get the unique chat history""" + return list(set(self.chat_history)) + + def run_with_retries(self, task: str, img: str): + """Run the model with retries""" + for i in range(self.retries): + try: + return self.run(task, img) + except Exception as error: + print(f"Error with the request {error}") + continue + + def run_batch_with_retries(self, tasks_images: List[Tuple[str, str]]): + """Run the model with retries""" + for i in range(self.retries): + try: + return self.run_batch(tasks_images) + except Exception as error: + print(f"Error with the request {error}") + continue + + def _tokens_per_second(self) -> float: + """Tokens per second""" + elapsed_time = self.end_time - self.start_time + if elapsed_time == 0: + return float("inf") + return self._num_tokens() / elapsed_time + + def _time_for_generation(self, task: str) -> float: + """Time for Generation""" + self.start_time = time.time() + self.run(task) + self.end_time = time.time() + return self.end_time - self.start_time + + @abstractmethod + def generate_summary(self, text: str) -> str: + """Generate Summary""" + pass + + def set_temperature(self, value: float): + """Set Temperature""" + self.temperature = value + + def set_max_tokens(self, value: int): + """Set new max tokens""" + self.max_tokens = value + + def get_generation_time(self) -> float: + """Get generation time""" + if self.start_time and self.end_time: + return self.end_time - self.start_time + return 0 + + def get_chat_history(self): + """Get the chat history""" + return self.chat_history + + def get_unique_chat_history(self): + """Get the unique chat history""" + return list(set(self.chat_history)) + + def get_chat_history_length(self): + """Get the chat history length""" + return len(self.chat_history) + + def get_unique_chat_history_length(self): + """Get the unique chat history length""" + return len(list(set(self.chat_history))) + + def get_chat_history_tokens(self): + """Get the chat history tokens""" + return self._num_tokens() + \ No newline at end of file diff --git a/swarms/models/fuyu.py b/swarms/models/fuyu.py index ed955260..79dc1c47 100644 --- a/swarms/models/fuyu.py +++ b/swarms/models/fuyu.py @@ -63,9 +63,9 @@ class Fuyu: def __call__(self, text: str, img: str): """Call the model with text and img paths""" - image_pil = Image.open(img) + img = self.get_img(img) model_inputs = self.processor( - text=text, images=[image_pil], device=self.device_map + text=text, images=[img], device=self.device_map ) for k, v in model_inputs.items(): @@ -79,13 +79,13 @@ class Fuyu: ) return print(str(text)) - def get_img_from_web(self, img_url: str): + def get_img_from_web(self, img: str): """Get the image from the web""" try: - response = requests.get(img_url) + response = requests.get(img) response.raise_for_status() image_pil = Image.open(BytesIO(response.content)) return image_pil except requests.RequestException as error: - print(f"Error fetching image from {img_url} and error: {error}") + print(f"Error fetching image from {img} and error: {error}") return None diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 2a242670..8cf9371d 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -114,7 +114,6 @@ class GPT4VisionAPI: except Exception as error: print(f"Error with the request: {error}") raise error - # Function to handle vision tasks def __call__(self, task: str, img: str): """Run the model.""" diff --git a/swarms/models/kosmos_two.py b/swarms/models/kosmos_two.py index c696ef34..7e9da590 100644 --- a/swarms/models/kosmos_two.py +++ b/swarms/models/kosmos_two.py @@ -18,38 +18,31 @@ def is_overlapping(rect1, rect2): class Kosmos: """ + Kosmos model by Yen-Chun Shieh + + Parameters + ---------- + model_name : str + Path to the pretrained model + + Examples + -------- + >>> kosmos = Kosmos() + >>> kosmos("Hello, my name is", "path/to/image.png") - Args: - - - # Initialize Kosmos - kosmos = Kosmos() - - # Perform multimodal grounding - kosmos.multimodal_grounding("Find the red apple in the image.", "https://example.com/apple.jpg") - - # Perform referring expression comprehension - kosmos.referring_expression_comprehension("Show me the green bottle.", "https://example.com/bottle.jpg") - - # Generate referring expressions - kosmos.referring_expression_generation("It is on the table.", "https://example.com/table.jpg") - - # Perform grounded visual question answering - kosmos.grounded_vqa("What is the color of the car?", "https://example.com/car.jpg") - - # Generate grounded image caption - kosmos.grounded_image_captioning("https://example.com/beach.jpg") """ def __init__( self, model_name="ydshieh/kosmos-2-patch14-224", + *args, + **kwargs, ): self.model = AutoModelForVision2Seq.from_pretrained( - model_name, trust_remote_code=True + model_name, trust_remote_code=True, *args, **kwargs ) self.processor = AutoProcessor.from_pretrained( - model_name, trust_remote_code=True + model_name, trust_remote_code=True, *args, **kwargs ) def get_image(self, url): diff --git a/swarms/models/whisperx.py b/swarms/models/whisperx_model.py similarity index 85% rename from swarms/models/whisperx.py rename to swarms/models/whisperx_model.py index 338971da..883c3edb 100644 --- a/swarms/models/whisperx.py +++ b/swarms/models/whisperx_model.py @@ -2,7 +2,7 @@ import os import subprocess try: - import whisperx + import swarms.models.whisperx_model as whisperx_model from pydub import AudioSegment from pytube import YouTube except Exception as error: @@ -66,17 +66,17 @@ class WhisperX: compute_type = "float16" # 1. Transcribe with original Whisper (batched) 🗣️ - model = whisperx.load_model( + model = whisperx_model.load_model( "large-v2", device, compute_type=compute_type ) - audio = whisperx.load_audio(audio_file) + audio = whisperx_model.load_audio(audio_file) result = model.transcribe(audio, batch_size=batch_size) # 2. Align Whisper output 🔍 - model_a, metadata = whisperx.load_align_model( + model_a, metadata = whisperx_model.load_align_model( language_code=result["language"], device=device ) - result = whisperx.align( + result = whisperx_model.align( result["segments"], model_a, metadata, @@ -86,7 +86,7 @@ class WhisperX: ) # 3. Assign speaker labels 🏷️ - diarize_model = whisperx.DiarizationPipeline( + diarize_model = whisperx_model.DiarizationPipeline( use_auth_token=self.hf_api_key, device=device ) diarize_model(audio_file) @@ -99,16 +99,16 @@ class WhisperX: print("The key 'segments' is not found in the result.") def transcribe(self, audio_file): - model = whisperx.load_model("large-v2", self.device, self.compute_type) - audio = whisperx.load_audio(audio_file) + model = whisperx_model.load_model("large-v2", self.device, self.compute_type) + audio = whisperx_model.load_audio(audio_file) result = model.transcribe(audio, batch_size=self.batch_size) # 2. Align Whisper output 🔍 - model_a, metadata = whisperx.load_align_model( + model_a, metadata = whisperx_model.load_align_model( language_code=result["language"], device=self.device ) - result = whisperx.align( + result = whisperx_model.align( result["segments"], model_a, metadata, @@ -118,7 +118,7 @@ class WhisperX: ) # 3. Assign speaker labels 🏷️ - diarize_model = whisperx.DiarizationPipeline( + diarize_model = whisperx_model.DiarizationPipeline( use_auth_token=self.hf_api_key, device=self.device ) diff --git a/tests/models/test_whisperx.py b/tests/models/test_whisperx.py index 5fad3431..ed671cb2 100644 --- a/tests/models/test_whisperx.py +++ b/tests/models/test_whisperx.py @@ -7,7 +7,7 @@ import pytest import whisperx from pydub import AudioSegment from pytube import YouTube -from swarms.models.whisperx import WhisperX +from swarms.models.whisperx_model import WhisperX # Fixture to create a temporary directory for testing From 95ff1f8be09e794c6f23c979ba4e7afd8cddd06b Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Sat, 25 Nov 2023 09:01:38 -0700 Subject: [PATCH 25/47] pytest clednup --- .github/workflows/pr_request_checks.yml | 6 ++++-- .github/workflows/python-package.yml | 2 +- .github/workflows/testing.yml | 6 ++++-- .github/workflows/unit-test.yml | 8 +++++--- CONTRIBUTING.md | 17 ++++++++--------- code_quality.sh | 2 +- tests/Dockerfile | 2 +- 7 files changed, 24 insertions(+), 19 deletions(-) diff --git a/.github/workflows/pr_request_checks.yml b/.github/workflows/pr_request_checks.yml index ad7b691f..2b91f9a3 100644 --- a/.github/workflows/pr_request_checks.yml +++ b/.github/workflows/pr_request_checks.yml @@ -20,9 +20,11 @@ jobs: python-version: 3.x - name: Install dependencies - run: pip install -r requirements.txt + run: | + pip install -r requirements.txt + pip install pytest - name: Run tests and checks run: | - find tests/ -name "*.py" | xargs pytest + pytest pylint swarms diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml index b8e0a17a..de09fd0b 100644 --- a/.github/workflows/python-package.yml +++ b/.github/workflows/python-package.yml @@ -38,4 +38,4 @@ jobs: flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest run: | - find ./tests -name '*.py' -exec pytest {} \; + pytest \ No newline at end of file diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml index c2c805f5..ae572d22 100644 --- a/.github/workflows/testing.yml +++ b/.github/workflows/testing.yml @@ -19,7 +19,9 @@ jobs: python-version: 3.x - name: Install dependencies - run: pip install -r requirements.txt + run: | + pip install -r requirements.txt + pip install pytest - name: Run unit tests - run: find tests/ -name "*.py" | xargs pytest \ No newline at end of file + run: pytest \ No newline at end of file diff --git a/.github/workflows/unit-test.yml b/.github/workflows/unit-test.yml index 42ac2271..c68e49b6 100644 --- a/.github/workflows/unit-test.yml +++ b/.github/workflows/unit-test.yml @@ -21,13 +21,15 @@ jobs: python-version: '3.10' - name: Install dependencies - run: pip install -r requirements.txt + run: | + pip install -r requirements.txt + pip install pytest - name: Run Python unit tests - run: python3 -m unittest tests/ + run: pytest - name: Verify that the Docker image for the action builds run: docker build . --file Dockerfile - name: Verify integration test results - run: find tests/ -name "*.py" | xargs pytest + run: pytest diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 8230322d..21f4b51c 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -72,7 +72,6 @@ pre-commit --version Now when you make a git commit, the black code formatter and ruff linter will run. - Furthermore, we have integrated a pre-commit GitHub Action into our workflow. This means that with every pull request opened, the pre-commit checks will be automatically enforced, streamlining the code review process and ensuring that all contributions adhere to our quality standards. To run the pre-commit tool, follow these steps: @@ -124,13 +123,13 @@ You can learn more about mkdocs on the [mkdocs website](https://www.mkdocs.org/) ## 🧪 tests - Run all the tests in the tests folder -`find ./tests -name '*.py' -exec pytest {} \;` - + ```pytest``` + ## Code Quality -`quality.sh` runs 4 different code formatters for ultra reliable code cleanup using Autopep8, Black, Ruff, YAPF +`code-quality.sh` runs 4 different code formatters for ultra reliable code cleanup using Autopep8, Black, Ruff, YAPF 1. Open your terminal. -2. Change directory to where `quality.sh` is located using `cd` command: +2. Change directory to where `code-quality.sh` is located using `cd` command: ```sh cd /path/to/directory ``` @@ -142,17 +141,17 @@ You can learn more about mkdocs on the [mkdocs website](https://www.mkdocs.org/) 4. Run the script: ```sh - ./quality.sh + ./code-quality.sh ``` If the script requires administrative privileges, you might need to run it with `sudo`: ```sh -sudo ./quality.sh +sudo ./code-quality.sh ``` -Please replace `/path/to/directory` with the actual path where the `quality.sh` script is located on your system. +Please replace `/path/to/directory` with the actual path where the `code-quality.sh` script is located on your system. -If you're asking for a specific content or functionality inside `quality.sh` related to YAPF or other code quality tools, you would need to edit the `quality.sh` script to include the desired commands, such as running YAPF on a directory. The contents of `quality.sh` would dictate exactly what happens when you run it. +If you're asking for a specific content or functionality inside `code-quality.sh` related to YAPF or other code quality tools, you would need to edit the `code-quality.sh` script to include the desired commands, such as running YAPF on a directory. The contents of `code-quality.sh` would dictate exactly what happens when you run it. ## 📄 license diff --git a/code_quality.sh b/code_quality.sh index 1c8c95b5..90153258 100755 --- a/code_quality.sh +++ b/code_quality.sh @@ -13,7 +13,7 @@ black --experimental-string-processing swarms/ # Run ruff on the 'swarms' directory. # Add any additional flags if needed according to your version of ruff. -#ruff --unsafe_fix +ruff --unsafe_fix # YAPF yapf --recursive --in-place --verbose --style=google --parallel swarms diff --git a/tests/Dockerfile b/tests/Dockerfile index 4bec42c1..f6e46515 100644 --- a/tests/Dockerfile +++ b/tests/Dockerfile @@ -29,4 +29,4 @@ RUN pip install swarms RUN pip install pytest # Run pytest on all tests in the tests directory -CMD find ./tests -name '*.py' -exec pytest {} + +CMD pytest From 58d8f61b9c9084bc75c8dfd3cd99bb7d472a82c2 Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Sat, 25 Nov 2023 09:04:18 -0700 Subject: [PATCH 26/47] python-publish fix --- .github/workflows/python-publish.yml | 34 ++++++++++++++-------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index 66beff23..9fc16341 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -13,20 +13,20 @@ jobs: runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: '3.x' - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install build - - name: Build package - run: python -m build - - name: Publish package - uses: pypa/gh-action-pypi-publish@b7f401de30cb6434a1e19f805ff006643653240e - with: - user: __token__ - password: ${{ secrets.PYPI_API_TOKEN }} + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.x' + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install build + - name: Build package + run: python -m build + - name: Publish package + uses: pypa/gh-action-pypi-publish@b7f401de30cb6434a1e19f805ff006643653240e + with: + user: __token__ + password: ${{ secrets.PYPI_API_TOKEN }} From eea1a6702efba176ca8e0a975d84dac28cf36e31 Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Sat, 25 Nov 2023 09:10:58 -0700 Subject: [PATCH 27/47] boosted python version to 3.10 for pytorch --- pyproject.toml | 4 ++-- tests/Dockerfile | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index dcad7e7e..bac55bc6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,11 +18,11 @@ classifiers = [ "Intended Audience :: Developers", "Topic :: Scientific/Engineering :: Artificial Intelligence", "License :: OSI Approved :: MIT License", - "Programming Language :: Python :: 3.6" + "Programming Language :: Python :: 3.10" ] [tool.poetry.dependencies] -python = "^3.8.1" +python = "^3.10.1" torch = "2.1.1" transformers = "*" openai = "0.28.0" diff --git a/tests/Dockerfile b/tests/Dockerfile index f6e46515..f575f599 100644 --- a/tests/Dockerfile +++ b/tests/Dockerfile @@ -1,7 +1,7 @@ # TESTING # -================== # Use an official Python runtime as a parent image -FROM python:3.9-slim +FROM python:3.10-slim # Set environment variables to make Python output unbuffered and disable the PIP cache ENV PYTHONDONTWRITEBYTECODE 1 From f895497f882344ccb238580df66a1c86867f72af Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 12:27:52 -0800 Subject: [PATCH 28/47] FEAT: [BEAUTIFY in GPT4Vision][Disable logging in __init__ of swarms] --- swarms/__init__.py | 16 ++------------ swarms/models/base_multimodal_model.py | 8 ++++++- swarms/models/gpt4_vision_api.py | 29 +++++++++++++++++++++----- swarms/utils/disable_logging.py | 25 ++++++++++++++++++++++ 4 files changed, 58 insertions(+), 20 deletions(-) create mode 100644 swarms/utils/disable_logging.py diff --git a/swarms/__init__.py b/swarms/__init__.py index d876c04e..9ceb78f2 100644 --- a/swarms/__init__.py +++ b/swarms/__init__.py @@ -1,18 +1,6 @@ -import logging -import os -import warnings +from swarms.utils.disable_logging import disable_logging -warnings.filterwarnings("ignore", category=UserWarning) - -# disable tensorflow warnings -os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" - -try: - log = logging.getLogger("pytorch") - log.propagate = False - log.setLevel(logging.ERROR) -except Exception as error: - print(f"Pytorch logging not disabled: {error}") +disable_logging() from swarms.agents import * # noqa: E402, F403 from swarms.swarms import * # noqa: E402, F403 diff --git a/swarms/models/base_multimodal_model.py b/swarms/models/base_multimodal_model.py index 54eed0ed..9f451be0 100644 --- a/swarms/models/base_multimodal_model.py +++ b/swarms/models/base_multimodal_model.py @@ -20,6 +20,7 @@ class BaseMultiModalModel: max_workers: Optional[int] = 10, top_p: Optional[int] = 1, top_k: Optional[int] = 50, + beautify: Optional[bool] = False, device: Optional[str] = "cuda", max_new_tokens: Optional[int] = 500, retries: Optional[int] = 3, @@ -30,6 +31,7 @@ class BaseMultiModalModel: self.max_workers = max_workers self.top_p = top_p self.top_k = top_k + self.beautify = beautify self.device = device self.max_new_tokens = max_new_tokens self.retries = retries @@ -206,4 +208,8 @@ class BaseMultiModalModel: def get_chat_history_tokens(self): """Get the chat history tokens""" return self._num_tokens() - \ No newline at end of file + + def print_beautiful(self, content: str, color: str = "cyan"): + """Print Beautifully with termcolor""" + content = colored(content, color) + print(content) \ No newline at end of file diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 8cf9371d..6a8b8eb8 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -1,3 +1,4 @@ +import logging import asyncio import base64 import concurrent.futures @@ -54,16 +55,27 @@ class GPT4VisionAPI: self, openai_api_key: str = openai_api_key, model_name: str = "gpt-4-vision-preview", + logging_enabled: bool = False, max_workers: int = 10, max_tokens: str = 300, openai_proxy: str = "https://api.openai.com/v1/chat/completions", + beautify: bool = False ): super().__init__() self.openai_api_key = openai_api_key + self.logging_enabled = logging_enabled self.model_name = model_name self.max_workers = max_workers self.max_tokens = max_tokens self.openai_proxy = openai_proxy + self.beautify = beautify + + if self.logging_enabled: + logging.basicConfig(level=logging.DEBUG) + else: + # Disable debug logs for requests and urllib3 + logging.getLogger("requests").setLevel(logging.WARNING) + logging.getLogger("urllib3").setLevel(logging.WARNING) def encode_image(self, img: str): """Encode image to base64.""" @@ -83,7 +95,7 @@ class GPT4VisionAPI: "Authorization": f"Bearer {openai_api_key}", } payload = { - "model": self.model_name, + "model": "gpt-4-vision-preview", "messages": [ { "role": "user", @@ -103,14 +115,18 @@ class GPT4VisionAPI: "max_tokens": self.max_tokens, } response = requests.post( - "https://api.openai.com/v1/chat/completions", + self.openai_proxy, headers=headers, json=payload, ) out = response.json() content = out["choices"][0]["message"]["content"] - print(content) + + if self.beautify: + content = colored(content, "cyan") + else: + print(content) except Exception as error: print(f"Error with the request: {error}") raise error @@ -151,11 +167,14 @@ class GPT4VisionAPI: out = response.json() content = out["choices"][0]["message"]["content"] - print(content) + + if self.beautify: + content = colored(content, "cyan") + else: + print(content) except Exception as error: print(f"Error with the request: {error}") raise error - # Function to handle vision tasks def run_many( self, diff --git a/swarms/utils/disable_logging.py b/swarms/utils/disable_logging.py new file mode 100644 index 00000000..5b6ec675 --- /dev/null +++ b/swarms/utils/disable_logging.py @@ -0,0 +1,25 @@ + +import logging +import os +import warnings + +def disable_logging(): + warnings.filterwarnings("ignore", category=UserWarning) + + # disable tensorflow warnings + os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" + + + # Set the logging level for the entire module + logging.basicConfig(level=logging.WARNING) + + try: + log = logging.getLogger("pytorch") + log.propagate = False + log.setLevel(logging.ERROR) + except Exception as error: + print(f"Pytorch logging not disabled: {error}") + + for logger_name in ['tensorflow', 'h5py', 'numexpr', 'git', 'wandb.docker.auth']: + logger = logging.getLogger(logger_name) + logger.setLevel(logging.WARNING) # Supress DEBUG and info logs From a92a6a5c1349571d9eba16747808231bb1807e1a Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 14:26:20 -0800 Subject: [PATCH 29/47] [FEAT][Flow.run() img = None for conditional img inputs, BaseMultiModalModel, and multi modal swarms of manufacturing agents --- example.py | 12 ++ multi_modal_auto_agent.py | 4 + playground/demos/idea_2_img/main.py | 7 ++ .../demos/swarm_of_mma_manufacturing/main.py | 15 +++ swarms/models/base_multimodal_model.py | 46 +++++--- swarms/models/gpt4_vision_api.py | 108 +++++++++++++++++- swarms/models/kosmos_two.py | 2 +- swarms/models/whisperx_model.py | 4 +- swarms/structs/flow.py | 6 +- swarms/utils/disable_logging.py | 13 ++- 10 files changed, 189 insertions(+), 28 deletions(-) create mode 100644 playground/demos/idea_2_img/main.py create mode 100644 playground/demos/swarm_of_mma_manufacturing/main.py diff --git a/example.py b/example.py index ab496b77..06b5d5f2 100644 --- a/example.py +++ b/example.py @@ -1,9 +1,21 @@ +import os + +from dotenv import load_dotenv + +# Import the OpenAIChat model and the Flow struct from swarms.models import OpenAIChat from swarms.structs import Flow +# Load the environment variables +load_dotenv() + +# Get the API key from the environment +api_key = os.environ.get("OPENAI_API_KEY") + # Initialize the language model llm = OpenAIChat( temperature=0.5, + openai_api_key=api_key, ) diff --git a/multi_modal_auto_agent.py b/multi_modal_auto_agent.py index 0ed2f42f..3e0a05cc 100644 --- a/multi_modal_auto_agent.py +++ b/multi_modal_auto_agent.py @@ -1,5 +1,8 @@ from swarms.structs import Flow from swarms.models.gpt4_vision_api import GPT4VisionAPI +from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( + MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, +) llm = GPT4VisionAPI() @@ -10,6 +13,7 @@ img = "images/swarms.jpeg" ## Initialize the workflow flow = Flow( llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, max_loops="auto", ) diff --git a/playground/demos/idea_2_img/main.py b/playground/demos/idea_2_img/main.py new file mode 100644 index 00000000..84ce67ab --- /dev/null +++ b/playground/demos/idea_2_img/main.py @@ -0,0 +1,7 @@ +""" +Idea 2 img + +task -> gpt4 text -> dalle3 img -> gpt4vision img + text analyze img -> dalle3 img -> loop + +""" +from swarms.models.gpt4_vision_api import GPT4VisionAPI diff --git a/playground/demos/swarm_of_mma_manufacturing/main.py b/playground/demos/swarm_of_mma_manufacturing/main.py new file mode 100644 index 00000000..ebb00768 --- /dev/null +++ b/playground/demos/swarm_of_mma_manufacturing/main.py @@ -0,0 +1,15 @@ +""" +Swarm of multi modal autonomous agents for manufacturing! +--------------------------------------------------------- +Health Security agent: Agent that monitors the health of working conditions: input image of factory output: health safety index 0.0 - 1.0 being the highest +Quality Control agent: Agent that monitors the quality of the product: input image of product output: quality index 0.0 - 1.0 being the highest +Productivity agent: Agent that monitors the productivity of the factory: input image of factory output: productivity index 0.0 - 1.0 being the highest +Safety agent: Agent that monitors the safety of the factory: input image of factory output: safety index 0.0 - 1.0 being the highest +Security agent: Agent that monitors the security of the factory: input image of factory output: security index 0.0 - 1.0 being the highest +Sustainability agent: Agent that monitors the sustainability of the factory: input image of factory output: sustainability index 0.0 - 1.0 being the highest +Efficiency agent: Agent that monitors the efficiency of the factory: input image of factory output: efficiency index 0.0 - 1.0 being the highest + + +Flow: +health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent +""" diff --git a/swarms/models/base_multimodal_model.py b/swarms/models/base_multimodal_model.py index 9f451be0..e5671917 100644 --- a/swarms/models/base_multimodal_model.py +++ b/swarms/models/base_multimodal_model.py @@ -1,3 +1,4 @@ +from abc import abstractmethod import asyncio import base64 import concurrent.futures @@ -7,8 +8,8 @@ from io import BytesIO from typing import List, Optional, Tuple import requests -from ABC import abstractmethod from PIL import Image +from termcolor import colored class BaseMultiModalModel: @@ -37,7 +38,6 @@ class BaseMultiModalModel: self.retries = retries self.chat_history = [] - @abstractmethod def __call__(self, text: str, img: str): """Run the model""" @@ -61,17 +61,17 @@ class BaseMultiModalModel: except requests.RequestException as error: print(f"Error fetching image from {img} and error: {error}") return None - + def encode_img(self, img: str): """Encode the image to base64""" with open(img, "rb") as image_file: return base64.b64encode(image_file.read()).decode("utf-8") - + def get_img(self, img: str): """Get the image from the path""" image_pil = Image.open(img) return image_pil - + def clear_chat_history(self): """Clear the chat history""" self.chat_history = [] @@ -87,11 +87,11 @@ class BaseMultiModalModel: Args: tasks (List[str]): List of tasks imgs (List[str]): List of image paths - + Returns: List[str]: List of responses - - + + """ # Instantiate the thread pool executor with ThreadPoolExecutor(max_workers=self.max_workers) as executor: @@ -101,7 +101,6 @@ class BaseMultiModalModel: for result in results: print(result) - def run_batch(self, tasks_images: List[Tuple[str, str]]) -> List[str]: """Process a batch of tasks and images""" with concurrent.futures.ThreadPoolExecutor() as executor: @@ -133,11 +132,11 @@ class BaseMultiModalModel: for task, img in tasks_images ] return await asyncio.gather(*futures) - + def unique_chat_history(self): """Get the unique chat history""" return list(set(self.chat_history)) - + def run_with_retries(self, task: str, img: str): """Run the model with retries""" for i in range(self.retries): @@ -146,7 +145,7 @@ class BaseMultiModalModel: except Exception as error: print(f"Error with the request {error}") continue - + def run_batch_with_retries(self, tasks_images: List[Tuple[str, str]]): """Run the model with retries""" for i in range(self.retries): @@ -188,28 +187,37 @@ class BaseMultiModalModel: if self.start_time and self.end_time: return self.end_time - self.start_time return 0 - + def get_chat_history(self): """Get the chat history""" return self.chat_history - + def get_unique_chat_history(self): """Get the unique chat history""" return list(set(self.chat_history)) - + def get_chat_history_length(self): """Get the chat history length""" return len(self.chat_history) - + def get_unique_chat_history_length(self): """Get the unique chat history length""" return len(list(set(self.chat_history))) - + def get_chat_history_tokens(self): """Get the chat history tokens""" return self._num_tokens() - + def print_beautiful(self, content: str, color: str = "cyan"): """Print Beautifully with termcolor""" content = colored(content, color) - print(content) \ No newline at end of file + print(content) + + def stream(self, content: str): + """Stream the output + + Args: + content (str): _description_ + """ + for chunk in content: + print(chunk) diff --git a/swarms/models/gpt4_vision_api.py b/swarms/models/gpt4_vision_api.py index 6a8b8eb8..869cde1a 100644 --- a/swarms/models/gpt4_vision_api.py +++ b/swarms/models/gpt4_vision_api.py @@ -1,6 +1,7 @@ -import logging +import logging import asyncio import base64 +from typing import Optional import concurrent.futures from termcolor import colored import json @@ -12,6 +13,13 @@ import aiohttp import requests from dotenv import load_dotenv + +try: + import cv2 +except ImportError: + print("OpenCV not installed. Please install OpenCV to use this model.") + raise ImportError + # Load environment variables load_dotenv() openai_api_key = os.getenv("OPENAI_API_KEY") @@ -59,7 +67,8 @@ class GPT4VisionAPI: max_workers: int = 10, max_tokens: str = 300, openai_proxy: str = "https://api.openai.com/v1/chat/completions", - beautify: bool = False + beautify: bool = False, + streaming_enabled: Optional[bool] = False, ): super().__init__() self.openai_api_key = openai_api_key @@ -69,6 +78,7 @@ class GPT4VisionAPI: self.max_tokens = max_tokens self.openai_proxy = openai_proxy self.beautify = beautify + self.streaming_enabled = streaming_enabled if self.logging_enabled: logging.basicConfig(level=logging.DEBUG) @@ -123,14 +133,101 @@ class GPT4VisionAPI: out = response.json() content = out["choices"][0]["message"]["content"] + if self.streaming_enabled: + content = self.stream_response(content) + else: + pass + if self.beautify: content = colored(content, "cyan") + print(content) else: print(content) + except Exception as error: print(f"Error with the request: {error}") raise error + def video_prompt(self, frames): + """ + SystemPrompt is a class that generates a prompt for the user to respond to. + The prompt is generated based on the current state of the system. + + Parameters + ---------- + frames : list + A list of base64 frames + + Returns + ------- + PROMPT : str + The system prompt + + Examples + -------- + + >>> from swarms.models import GPT4VisionAPI + >>> llm = GPT4VisionAPI() + >>> video = "video.mp4" + >>> base64_frames = llm.process_video(video) + >>> prompt = llm.video_prompt(base64_frames) + >>> print(prompt) + + """ + PROMPT = f""" + These are frames from a video that I want to upload. Generate a compelling description that I can upload along with the video: + + {frames} + """ + return PROMPT + + def stream_response(self, content: str): + """Stream the response of the output + + Args: + content (str): _description_ + """ + for chunk in content: + print(chunk) + + def process_video(self, video: str): + """ + Process a video into a list of base64 frames + + Parameters + ---------- + video : str + The path to the video file + + Returns + ------- + base64_frames : list + A list of base64 frames + + Examples + -------- + >>> from swarms.models import GPT4VisionAPI + >>> llm = GPT4VisionAPI() + >>> video = "video.mp4" + >>> base64_frames = llm.process_video(video) + + """ + video = cv2.VideoCapture(video) + + base64_frames = [] + while video.isOpened(): + success, frame = video.read() + if not success: + break + _, buffer = cv2.imencode(".jpg", frame) + base64_frames.append(base64.b64encode(buffer).decode("utf-8")) + + video.release() + print(len(base64_frames), "frames read.") + + for img in base64_frames: + base64.b64decode(img.encode("utf-8")) + def __call__(self, task: str, img: str): """Run the model.""" try: @@ -168,10 +265,17 @@ class GPT4VisionAPI: out = response.json() content = out["choices"][0]["message"]["content"] + if self.streaming_enabled: + content = self.stream_response(content) + else: + pass + if self.beautify: content = colored(content, "cyan") + print(content) else: print(content) + except Exception as error: print(f"Error with the request: {error}") raise error diff --git a/swarms/models/kosmos_two.py b/swarms/models/kosmos_two.py index 7e9da590..99998287 100644 --- a/swarms/models/kosmos_two.py +++ b/swarms/models/kosmos_two.py @@ -24,7 +24,7 @@ class Kosmos: ---------- model_name : str Path to the pretrained model - + Examples -------- >>> kosmos = Kosmos() diff --git a/swarms/models/whisperx_model.py b/swarms/models/whisperx_model.py index 883c3edb..338db6e3 100644 --- a/swarms/models/whisperx_model.py +++ b/swarms/models/whisperx_model.py @@ -99,7 +99,9 @@ class WhisperX: print("The key 'segments' is not found in the result.") def transcribe(self, audio_file): - model = whisperx_model.load_model("large-v2", self.device, self.compute_type) + model = whisperx_model.load_model( + "large-v2", self.device, self.compute_type + ) audio = whisperx_model.load_audio(audio_file) result = model.transcribe(audio, batch_size=self.batch_size) diff --git a/swarms/structs/flow.py b/swarms/structs/flow.py index 47740f73..e0079199 100644 --- a/swarms/structs/flow.py +++ b/swarms/structs/flow.py @@ -498,7 +498,7 @@ class Flow: ) print(error) - def run(self, task: str, img: Optional[str], **kwargs): + def run(self, task: Optional[str], img: Optional[str] = None, **kwargs): """ Run the autonomous agent loop @@ -528,7 +528,11 @@ class Flow: self.print_dashboard(task) loop_count = 0 + + # While the max_loops is auto or the loop count is less than the max_loops while self.max_loops == "auto" or loop_count < self.max_loops: + + # Loop count loop_count += 1 print( colored(f"\nLoop {loop_count} of {self.max_loops}", "blue") diff --git a/swarms/utils/disable_logging.py b/swarms/utils/disable_logging.py index 5b6ec675..d1c7df9b 100644 --- a/swarms/utils/disable_logging.py +++ b/swarms/utils/disable_logging.py @@ -1,15 +1,14 @@ - import logging import os import warnings + def disable_logging(): warnings.filterwarnings("ignore", category=UserWarning) # disable tensorflow warnings os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" - # Set the logging level for the entire module logging.basicConfig(level=logging.WARNING) @@ -20,6 +19,12 @@ def disable_logging(): except Exception as error: print(f"Pytorch logging not disabled: {error}") - for logger_name in ['tensorflow', 'h5py', 'numexpr', 'git', 'wandb.docker.auth']: + for logger_name in [ + "tensorflow", + "h5py", + "numexpr", + "git", + "wandb.docker.auth", + ]: logger = logging.getLogger(logger_name) - logger.setLevel(logging.WARNING) # Supress DEBUG and info logs + logger.setLevel(logging.WARNING) # Supress DEBUG and info logs From 75f3cf1de0470ca3d9717b7e81a62b2bd40636c8 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 14:26:37 -0800 Subject: [PATCH 30/47] new verison --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index dcad7e7e..0b5a1930 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "swarms" -version = "2.4.1" +version = "2.4.2" description = "Swarms - Pytorch" license = "MIT" authors = ["Kye Gomez "] From f6a618dedd25c937ce835bbaeccae84062ba0602 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 14:31:38 -0800 Subject: [PATCH 31/47] example py in readme --- README.md | 41 ++++++++++++++++++--------- playground/demos/assembly/assembly.py | 4 ++- 2 files changed, 31 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 2e3adbd4..d60a110a 100644 --- a/README.md +++ b/README.md @@ -34,28 +34,35 @@ Run example in Collab: Date: Sat, 25 Nov 2023 16:45:19 -0800 Subject: [PATCH 32/47] swarm of mma manufacturing demos --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 0b5a1930..0203391c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "swarms" -version = "2.4.2" +version = "2.4.3" description = "Swarms - Pytorch" license = "MIT" authors = ["Kye Gomez "] From b457511bde7d4d5ce19df4f16b2108e8fb089269 Mon Sep 17 00:00:00 2001 From: Kye Date: Sat, 25 Nov 2023 19:02:43 -0800 Subject: [PATCH 33/47] [DEMO][Swarm of MultiModalityRobots][sequential_workflow with images --- .../assembly_line.jpg | Bin 0 -> 41905 bytes .../swarm_of_mma_manufacturing/flow_iter.py | 129 ++++++++++++++++++ .../demos/swarm_of_mma_manufacturing/main.py | 122 +++++++++++++++++ .../swarm_of_mma_manufacturing/red_robots.jpg | Bin 0 -> 44298 bytes .../swarm_of_mma_manufacturing/robots.jpg | Bin 0 -> 39565 bytes .../tesla_assembly.jpg | Bin 0 -> 42533 bytes pyproject.toml | 2 +- swarms/models/base_multimodal_model.py | 43 ++++++ swarms/models/gpt4_vision_api.py | 25 ++-- swarms/structs/flow.py | 63 +++++---- swarms/structs/sequential_workflow.py | 62 ++++++--- 11 files changed, 396 insertions(+), 50 deletions(-) create mode 100644 playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg create mode 100644 playground/demos/swarm_of_mma_manufacturing/flow_iter.py create mode 100644 playground/demos/swarm_of_mma_manufacturing/red_robots.jpg create mode 100644 playground/demos/swarm_of_mma_manufacturing/robots.jpg create mode 100644 playground/demos/swarm_of_mma_manufacturing/tesla_assembly.jpg diff --git a/playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg b/playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg new file mode 100644 index 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agent: Agent that monitors the health of working conditions: input image of factory output: health safety index 0.0 - 1.0 being the highest +Quality Control agent: Agent that monitors the quality of the product: input image of product output: quality index 0.0 - 1.0 being the highest +Productivity agent: Agent that monitors the productivity of the factory: input image of factory output: productivity index 0.0 - 1.0 being the highest +Safety agent: Agent that monitors the safety of the factory: input image of factory output: safety index 0.0 - 1.0 being the highest +Security agent: Agent that monitors the security of the factory: input image of factory output: security index 0.0 - 1.0 being the highest +Sustainability agent: Agent that monitors the sustainability of the factory: input image of factory output: sustainability index 0.0 - 1.0 being the highest +Efficiency agent: Agent that monitors the efficiency of the factory: input image of factory output: efficiency index 0.0 - 1.0 being the highest + + +Flow: +health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent +""" +from swarms.structs import Flow, SequentialWorkflow +import os +from dotenv import load_dotenv +from swarms.models import GPT4VisionAPI +from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( + MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, +) + +load_dotenv() +api_key = os.getenv("OPENAI_API_KEY") + +llm = GPT4VisionAPI( + openai_api_key=api_key +) + +assembly_line = "playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg" +red_robots = "playground/demos/swarm_of_mma_manufacturing/red_robots.jpg" +robots = "playground/demos/swarm_of_mma_manufacturing/robots.jpg" +tesla_assembly_line = "playground/demos/swarm_of_mma_manufacturing/tesla_assembly.jpg" + + +# Define detailed prompts for each agent +tasks = { + "health_safety": ( + "Analyze the factory's working environment for health safety. Focus on" + " cleanliness, ventilation, spacing between workstations, and personal" + " protective equipment availability." + ), + "productivity": ( + "Review the factory's workflow efficiency, machine utilization, and" + " employee engagement. Identify operational delays or bottlenecks." + ), + "safety": ( + "Analyze the factory's safety measures, including fire exits, safety" + " signage, and emergency response equipment." + ), + "security": ( + "Evaluate the factory's security systems, entry/exit controls, and" + " potential vulnerabilities." + ), + "sustainability": ( + "Inspect the factory's sustainability practices, including waste" + " management, energy usage, and eco-friendly processes." + ), + "efficiency": ( + "Assess the manufacturing process's efficiency, considering the layout," + " logistics, and automation level." + ), +} + + +# Define prompts for each agent +health_safety_prompt = tasks["health_safety"] +productivity_prompt = tasks["productivity"] +safety_prompt = tasks["safety"] +security_prompt = tasks["security"] +sustainability_prompt = tasks["sustainability"] +efficiency_prompt = tasks["efficiency"] + + +# Health security agent +health_security_agent = Flow( + llm=llm, + sop_list=health_safety_prompt, + max_loops=2, + multi_modal=True +) + +# Quality control agent +productivity_check_agent = Flow( + llm=llm, + sop=productivity_prompt, + max_loops=2, + multi_modal=True +) + +# Security agent +security_check_agent = Flow( + llm=llm, + sop=security_prompt, + max_loops=2, + multi_modal=True +) + +# Efficiency agent +efficiency_check_agent = Flow( + llm=llm, + sop=efficiency_prompt, + max_loops=2, + multi_modal=True +) + + +# Add the first task to the health_security_agent +health_check = health_security_agent.run( + "Analyze the safety of this factory", + robots +) + +# Add the third task to the productivity_check_agent +productivity_check = productivity_check_agent.run( + health_check, assembly_line +) + +# Add the fourth task to the security_check_agent +security_check = security_check_agent.add( + productivity_check, red_robots +) + +# Add the fifth task to the efficiency_check_agent +efficiency_check = efficiency_check_agent.run( + security_check, tesla_assembly_line +) + diff --git a/playground/demos/swarm_of_mma_manufacturing/main.py b/playground/demos/swarm_of_mma_manufacturing/main.py index ebb00768..88b82c62 100644 --- a/playground/demos/swarm_of_mma_manufacturing/main.py +++ b/playground/demos/swarm_of_mma_manufacturing/main.py @@ -13,3 +13,125 @@ Efficiency agent: Agent that monitors the efficiency of the factory: input image Flow: health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent """ +from swarms.structs import Flow, SequentialWorkflow +from swarms.models import GPT4VisionAPI +from swarms.prompts.multi_modal_autonomous_instruction_prompt import ( + MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, +) + + +llm = GPT4VisionAPI() + +assembly_line = "assembly_line.jpg" +red_robots = "red_robots.jpg" +robots = "robots.jpg" +tesla_assembly_line = "tesla_assembly.jpg" + + +# Define detailed prompts for each agent +tasks = { + "health_safety": ( + "Analyze the factory's working environment for health safety. Focus on" + " cleanliness, ventilation, spacing between workstations, and personal" + " protective equipment availability." + ), + "productivity": ( + "Review the factory's workflow efficiency, machine utilization, and" + " employee engagement. Identify operational delays or bottlenecks." + ), + "safety": ( + "Analyze the factory's safety measures, including fire exits, safety" + " signage, and emergency response equipment." + ), + "security": ( + "Evaluate the factory's security systems, entry/exit controls, and" + " potential vulnerabilities." + ), + "sustainability": ( + "Inspect the factory's sustainability practices, including waste" + " management, energy usage, and eco-friendly processes." + ), + "efficiency": ( + "Assess the manufacturing process's efficiency, considering the layout," + " logistics, and automation level." + ), +} + + +# Define prompts for each agent +health_safety_prompt = tasks["health_safety"] +productivity_prompt = tasks["productivity"] +safety_prompt = tasks["safety"] +security_prompt = tasks["security"] +sustainability_prompt = tasks["sustainability"] +efficiency_prompt = tasks["efficiency"] + + +# Health security agent +health_security_agent = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + health_safety_prompt, + max_loops=2, +) + +# Quality control agent +quality_control_agent = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1, + max_loops=2, +) + +# Quality control agent +productivity_check_agent = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + productivity_prompt, + max_loops=2, +) + +# Security agent +security_check_agent = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + security_prompt, + max_loops=2, +) + +# Efficiency agent +efficiency_check_agent = Flow( + llm=llm, + sop=MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1 + efficiency_prompt, + max_loops=2, +) + + +# Sequential workflow +workflow = SequentialWorkflow( + max_loops=4, + name="Swarm of multi modal autonomous agents for manufacturing!", + description="Swarm of multi modal autonomous agents for manufacturing!", +) + +# Add the first task to the health_security_agent +health_check = workflow.add( + health_security_agent, + 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