file added

app.py

@@ -282,6 +282,7 @@ def customLLMBot(user_input, uploaded_image, chat_history):
         tts.save(audio_file)
         logger.info(f"Audio response saved as {audio_file}")
 
+        
         return chat_history, audio_file
 
     except Exception as e:

pred.py

@@ -21,11 +21,10 @@ transform = transforms.Compose([
 ])
 im = transform(image).unsqueeze(0)  # Add batch dimension (BCHW)
 
-try:   
-    output = model(im)
-    print(output)
-except Exception as e:
-        logger.error(f"Error in image prediction: {e}")
+   
+output = model(im)
+print(output)
+
         
 
 # Get predictions