MultiModalLlava

Former-commit-id: af93db7a34

apps/discord.py

@@ -7,10 +7,11 @@ from invoke import Executor
 from dotenv import load_dotenv
 from discord.ext import commands
 
+
 class Bot:
     def __init__(self, agent, llm, command_prefix="!"):
         load_dotenv()
-        
+
         intents = discord.intents.default()
         intents.messages = True
         intents.guilds = True
@@ -20,22 +21,19 @@ class Bot:
         # setup
         self.llm = llm
         self.agent = agent
-        self. bot = commands.bot(command_prefix="!", intents=intents)
+        self.bot = commands.bot(command_prefix="!", intents=intents)
         self.discord_token = os.getenv("DISCORD_TOKEN")
         self.storage_service = os.getenv("STORAGE_SERVICE")
 
-
         @self.bot.event
         async def on_ready():
             print(f"we have logged in as {self.bot.user}")
 
-
         @self.bot.command()
         async def greet(ctx):
             """greets the user."""
             await ctx.send(f"hello, {ctx.author.name}!")
 
-
         @self.bot.command()
         async def help_me(ctx):
             """provides a list of commands and their descriptions."""
@@ -77,13 +75,13 @@ class Bot:
             """starts listening to voice in the voice channel that the bot is in."""
             if ctx.voice_client:
                 # create a wavesink to record the audio
-                sink = discord.sinks.wavesink('audio.wav')
+                sink = discord.sinks.wavesink("audio.wav")
                 # start recording
                 ctx.voice_client.start_recording(sink)
                 await ctx.send("started listening and recording.")
             else:
                 await ctx.send("i am not in a voice channel!")
-            
+
         # image_generator.py
         @self.bot.command()
         async def generate_image(ctx, *, prompt: str):
@@ -101,7 +99,11 @@ class Bot:
                 print("done generating images!")
 
                 # list all files in the save_directory
-                all_files = [os.path.join(root, file) for root, _, files in os.walk(os.environ("SAVE_DIRECTORY")) for file in files]
+                all_files = [
+                    os.path.join(root, file)
+                    for root, _, files in os.walk(os.environ("SAVE_DIRECTORY"))
+                    for file in files
+                ]
 
                 # sort files by their creation time (latest first)
                 sorted_files = sorted(all_files, key=os.path.getctime, reverse=True)
@@ -111,11 +113,19 @@ class Bot:
                 print(f"sending {len(latest_files)} images to discord...")
 
                 # send all the latest images in a single message
-                storage_service = os.environ("STORAGE_SERVICE") # "https://storage.googleapis.com/your-bucket-name/
-                await ctx.send(files=[storage_service.upload(filepath) for filepath in latest_files])
+                storage_service = os.environ(
+                    "STORAGE_SERVICE"
+                )  # "https://storage.googleapis.com/your-bucket-name/
+                await ctx.send(
+                    files=[
+                        storage_service.upload(filepath) for filepath in latest_files
+                    ]
+                )
 
             except asyncio.timeouterror:
-                await ctx.send("the request took too long! it might have been censored or you're out of boosts. please try entering the prompt again.")
+                await ctx.send(
+                    "the request took too long! it might have been censored or you're out of boosts. please try entering the prompt again."
+                )
             except Exception as e:
                 await ctx.send(f"an error occurred: {e}")
 
@@ -127,12 +137,13 @@ class Bot:
             else:
                 response = self.llm.run(text)
             await ctx.send(response)
-        
+
         def add_command(self, name, func):
             @self.bot.command()
             async def command(ctx, *args):
                 reponse = func(*args)
                 await ctx.send(responses)
-                
-def run(self) :
+
+
+def run(self):
     self.bot.run("DISCORD_TOKEN")

playground/apps/discord_example.py

@@ -11,4 +11,3 @@ task = "What were the winning boston marathon times for the past 5 years (ending
 
 bot.send_text(task)
 bot.run()
-

swarms/models/__init__.py

@@ -15,7 +15,8 @@ from swarms.models.layoutlm_document_qa import LayoutLMDocumentQA
 
 # from swarms.models.fuyu import Fuyu # Not working, wait until they update
 import sys
-log_file = open('stderr_log.txt', 'w')
+
+log_file = open("stderr_log.txt", "w")
 sys.stderr = log_file
 
 

swarms/models/llava.py

@@ -0,0 +1,79 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+
+class MultiModalLlava:
+    """
+    LLava Model
+
+    Args:
+        model_name_or_path: The model name or path to the model
+        revision: The revision of the model to use
+        device: The device to run the model on
+        max_new_tokens: The maximum number of tokens to generate
+        do_sample: Whether or not to use sampling
+        temperature: The temperature of the sampling
+        top_p: The top p value for sampling
+        top_k: The top k value for sampling
+        repetition_penalty: The repetition penalty for sampling
+        device_map: The device map to use
+    
+    Methods:
+        __call__: Call the model
+        chat: Interactive chat in terminal
+    
+    Example:
+        >>> from swarms.models.llava import LlavaModel
+        >>> model = LlavaModel(device="cpu")
+        >>> model("Hello, I am a robot.")
+    """
+    def __init__(
+        self,
+        model_name_or_path="TheBloke/llava-v1.5-13B-GPTQ",
+        revision="main",
+        device="cuda",
+        max_new_tokens=512,
+        do_sample=True,
+        temperature=0.7,
+        top_p=0.95,
+        top_k=40,
+        repetition_penalty=1.1,
+        device_map: str = "auto"
+    ):
+        self.device = device
+        self.model = AutoModelForCausalLM.from_pretrained(
+            model_name_or_path,
+            device_map=device_map,
+            trust_remote_code=False,
+            revision=revision,
+        ).to(self.device)
+
+        self.tokenizer = AutoTokenizer.from_pretrained(
+            model_name_or_path, use_fast=True
+        )
+        self.pipe = pipeline(
+            "text-generation",
+            model=self.model,
+            tokenizer=self.tokenizer,
+            max_new_tokens=max_new_tokens,
+            do_sample=do_sample,
+            temperature=temperature,
+            top_p=top_p,
+            top_k=top_k,
+            repetition_penalty=repetition_penalty,
+            device=0 if self.device == "cuda" else -1,
+        )
+
+    def __call__(self, prompt):
+        """Call the model"""
+        return self.pipe(prompt)[0]["generated_text"]
+
+    def chat(self):
+        """Interactive chat in terminal"""
+        print("Starting chat with LlavaModel. Type 'exit' to end the session.")
+        while True:
+            user_input = input("You: ")
+            if user_input.lower() == "exit":
+                break
+            response = self(user_input)
+            print(f"Model: {response}")
+

tests/apps/discord.py

@@ -1,22 +1,24 @@
 import unittest
 from unittest.mock import patch, Mock, MagicMock
-from apps.discord import Bot  # Replace 'Bot' with the name of the file containing your bot's code.
+from apps.discord import (
+    Bot,
+)  # Replace 'Bot' with the name of the file containing your bot's code.
 
-class TestBot(unittest.TestCase):
 
+class TestBot(unittest.TestCase):
     def setUp(self):
         self.llm_mock = Mock()
         self.agent_mock = Mock()
         self.bot = Bot(agent=self.agent_mock, llm=self.llm_mock)
 
-    @patch('Bot.load_dotenv')  # Mocking the `load_dotenv` function call.
+    @patch("Bot.load_dotenv")  # Mocking the `load_dotenv` function call.
     def test_initialization(self, mock_load_dotenv):
         self.assertIsNotNone(self.bot.bot)
         self.assertEqual(self.bot.agent, self.agent_mock)
         self.assertEqual(self.bot.llm, self.llm_mock)
         mock_load_dotenv.assert_called_once()
 
-    @patch('Bot.commands.bot')
+    @patch("Bot.commands.bot")
     def test_greet(self, mock_bot):
         ctx_mock = Mock()
         ctx_mock.author.name = "TestUser"
@@ -26,7 +28,7 @@ class TestBot(unittest.TestCase):
 
     # Similarly, you can add tests for other commands.
 
-    @patch('Bot.commands.bot')
+    @patch("Bot.commands.bot")
     def test_help_me(self, mock_bot):
         ctx_mock = Mock()
         self.bot.bot.clear()
@@ -34,7 +36,7 @@ class TestBot(unittest.TestCase):
         # Verify the help text was sent. You can check for a substring to make it shorter.
         ctx_mock.send.assert_called()
 
-    @patch('Bot.commands.bot')
+    @patch("Bot.commands.bot")
     def test_on_command_error(self, mock_bot):
         ctx_mock = Mock()
         error_mock = Mock()
@@ -52,5 +54,6 @@ class TestBot(unittest.TestCase):
 
     # You can add more tests for other commands and functionalities.
 
+
 if __name__ == "__main__":
     unittest.main()