v2

app.py

@@ -581,11 +581,9 @@ async def stream_agent_response(question: str, chat_history: List) -> List[Dict]
         else:
             message_content = str(assistant_message)
             
-        # Ensure we return a list of tuples in the format Gradio expects
-        # Each message should be a tuple of (user_msg, bot_msg)
-        # For the current response, we need to include both the user's question and the assistant's response
-        chat_history.append((question, message_content))
-        return chat_history
+        # Return the assistant's response in the format expected by the bot_response function
+        # The bot_response function will handle updating the chat history
+        return message_content
         
     except Exception as e:
         error_msg = f"## ❌ Error\n\nOcurrió un error al procesar tu solicitud:\n\n```\n{str(e)}\n```"
@@ -833,14 +831,10 @@ def create_application():
             logger.info(f"Processing question: {question}")
             
             # Call the agent and get the response
-            response = await stream_agent_response(question, chat_history[:-2])
+            assistant_message = await stream_agent_response(question, chat_history[:-2])
             
-            # Convert the response to the correct format for the chat history
-            if isinstance(response, list) and response:
-                # The response is already in the format [(None, assistant_message)]
-                # Extract the assistant message and update the chat history
-                assistant_message = response[0][1] if isinstance(response[0], (list, tuple)) and len(response[0]) > 1 else str(response[0])
-                chat_history[-1]["content"] = assistant_message
+            # Update the assistant's message in the chat history
+            chat_history[-1]["content"] = assistant_message
             
             logger.info("Response generation complete")
             return chat_history