we have to many requests per seconds in the logs, so let's make them light

app.py

@@ -56,7 +56,7 @@ async def websocket_handler(request: web.Request) -> web.WebSocketResponse:
     ws = web.WebSocketResponse()
     await ws.prepare(request)
     try:
-        logger.info("New WebSocket connection established")
+        #logger.info("New WebSocket connection established")
 
         while True:
             msg = await ws.receive()
@@ -76,7 +76,7 @@ async def websocket_handler(request: web.Request) -> web.WebSocketResponse:
 
 
             elif msg.type in (WSMsgType.CLOSE, WSMsgType.ERROR):
-                logger.warning(f"WebSocket connection closed: {msg.type}")
+                #logger.warning(f"WebSocket connection closed: {msg.type}")
                 break
 
     except Exception as e:
@@ -94,7 +94,7 @@ async def handle_modify_image(request: web.Request, ws: web.WebSocketResponse, m
         msg (Dict[str, Any]): The message containing the image or image_hash and modification parameters.
         uuid: A unique identifier for the request.
     """
-    logger.info("Received modify_image request")
+    #logger.info("Received modify_image request")
     try:
         engine = request.app['engine']
         image_hash = msg.get('image_hash')
@@ -114,9 +114,9 @@ async def handle_modify_image(request: web.Request, ws: web.WebSocketResponse, m
             "success": True,
             "uuid": uuid  # Include the UUID in the response
         })
-        logger.info("Successfully sent modified image")
+        #logger.info("Successfully sent modified image")
     except Exception as e:
-        logger.error(f"Error in modify_image: {str(e)}")
+        #logger.error(f"Error in modify_image: {str(e)}")
         await ws.send_json({
             "type": "modified_image",
             "success": False,

engine.py

@@ -97,7 +97,9 @@ class Engine:
         Returns:
             Dict[str, Any]: Processed image data.
         """
-        logger.info(f"Processing image with hash: {image_hash}")
+        # let's hide the logs as there are thousands of message slike this
+        #logger.info(f"Processing image with hash: {image_hash}")
+
         if image_hash not in self.image_cache:
             raise ValueError(f"Image with hash {image_hash} not found in cache")
 
@@ -143,8 +145,9 @@ class Engine:
         Raises:
             ValueError: If there's an error modifying the image or WebP is not supported.
         """
-        logger.info("Starting image modification")
-        logger.debug(f"Modification parameters: {params}")
+        # let's disable those logs completely as there are thousands of message slike this
+        #logger.info("Starting image modification")
+        #logger.debug(f"Modification parameters: {params}")
 
         try:
             image_hash = self.get_image_hash(image_or_hash)
@@ -203,12 +206,12 @@ class Engine:
             result_image.save(buffered, format="WebP", quality=85)  # Adjust quality as needed
             modified_image_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
 
-            logger.info("Image modification completed successfully")
+            #logger.info("Image modification completed successfully")
             return f"data:image/webp;base64,{modified_image_base64}"
 
         except Exception as e:
-            logger.error(f"Error in modify_image: {str(e)}")
-            logger.exception("Full traceback:")
+            #logger.error(f"Error in modify_image: {str(e)}")
+            #logger.exception("Full traceback:")
             raise ValueError(f"Failed to modify image: {str(e)}")
 
     async def _apply_facial_modifications(self, x_d_new: torch.Tensor, params: Dict[str, float]) -> None: