FEAT: [BEAUTIFY in GPT4Vision][Disable logging in __init__ of swarms]

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

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()
-    
+    
+    def print_beautiful(self, content: str, color: str = "cyan"):
+        """Print Beautifully with termcolor"""
+        content = colored(content, color)
+        print(content)

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,

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