[UNUSED DEPENDENCY]

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "3.9.1"
+version = "3.9.3"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
@@ -23,7 +23,7 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = "^3.6.1"
-torch = "2.1.1"
+torch = "2.1.1"p
 transformers = "4.37.1"
 openai = "0.28.0"
 langchain = "0.0.333"
@@ -56,10 +56,8 @@ pydantic = "1.10.12"
 tenacity = "8.2.2"
 Pillow = "9.4.0"
 chromadb = "0.4.14"
-tabulate = "0.9.0"
 termcolor = "2.2.0"
 black = "23.3.0"
-open_clip_torch = "2.20.0"
 soundfile = "0.12.1"
 torchvision = "0.16.1"
 rich = "13.5.2"

requirements.txt

@@ -11,7 +11,6 @@ ggl==1.1.0
 Pillow==9.4.0
 faiss-cpu==1.7.4
 openai==0.28.0
-attrs==22.2.0
 datasets==2.14.5
 pydantic==1.10.12
 bitsandbytes
@@ -25,13 +24,11 @@ chromadb==0.4.14
 tensorflow
 optimum
 tiktoken==0.4.0
-tabulate==0.9.0
 colored
 addict
 backoff==2.2.1
 ratelimit==2.2.1
 termcolor==2.2.0
-controlnet-aux
 diffusers
 einops==0.7.0
 imageio==2.25.1
@@ -40,14 +37,10 @@ imageio-ffmpeg==0.4.9
 safetensors==0.3.3
 numpy
 omegaconf==2.3.0
-open_clip_torch==2.20.0
 openai==0.28.0
 opencv-python==4.7.0.72
-prettytable==3.9.0
 safetensors==0.3.3
 timm
-torchmetrics
-webdataset
 marshmallow==3.19.0
 yapf
 autopep8

swarms/structs/model_parallizer.py

@@ -3,7 +3,6 @@ import logging
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Callable, List
 
-from tabulate import tabulate
 from termcolor import colored
 
 # Configure logging
@@ -77,23 +76,6 @@ class ModelParallelizer:
                 f"[ERROR][ModelParallelizer] [ROOT CAUSE] [{error}]"
             )
 
-    def print_responses(self, task):
-        """Prints the responses in a tabular format"""
-        responses = self.run_all(task)
-        table = []
-        for i, response in enumerate(responses):
-            table.append([f"LLM {i+1}", response])
-        print(
-            colored(
-                tabulate(
-                    table,
-                    headers=["LLM", "Response"],
-                    tablefmt="pretty",
-                ),
-                "cyan",
-            )
-        )
-
     def run_all(self, task):
         """Run the task on all LLMs"""
         responses = []
@@ -101,23 +83,7 @@ class ModelParallelizer:
             responses.append(llm(task))
         return responses
 
-    def print_arun_all(self, task):
-        """Prints the responses in a tabular format"""
-        responses = self.arun_all(task)
-        table = []
-        for i, response in enumerate(responses):
-            table.append([f"LLM {i+1}", response])
-        print(
-            colored(
-                tabulate(
-                    table,
-                    headers=["LLM", "Response"],
-                    tablefmt="pretty",
-                ),
-                "cyan",
-            )
-        )
-
+    
     # New Features
     def save_responses_to_file(self, filename):
         """Save responses to file"""
@@ -126,7 +92,7 @@ class ModelParallelizer:
                 [f"LLM {i+1}", response]
                 for i, response in enumerate(self.last_responses)
             ]
-            file.write(tabulate(table, headers=["LLM", "Response"]))
+            file.write(table)
 
     @classmethod
     def load_llms_from_file(cls, filename):
@@ -151,11 +117,7 @@ class ModelParallelizer:
         ]
         print(
             colored(
-                tabulate(
-                    table,
-                    headers=["LLM", "Response"],
-                    tablefmt="pretty",
-                ),
+                table,
                 "cyan",
             )
         )