Update app.py

app.py

@@ -150,7 +150,6 @@ def chatbot_response(m,query):
 
     # Invoke the model with the multimodal message
     result = agent.invoke(prompt.format(m,k))
-    print(m)
     response = result['output']
     intermediate_steps = result.get('intermediate_steps', [])
     
@@ -166,7 +165,7 @@ from gradio import ChatMessage
 def chatbot_interface(messages,prompt):
     response, thought_process = chatbot_response(messages,prompt)
     #messages.append(ChatMessage(role="user", content=prompt))
-    
+    print("History: "+messages)
     for x in prompt["files"]:
             messages.append(ChatMessage(role="user", content={"path": x, "mime_type": "image/png"}))
     if prompt["text"] is not None: