Update app.py

app.py

@@ -59,20 +59,23 @@ demo_ephemeral_chat_history = ChatMessageHistory()
 def get_text_response(message, history):
     """
     Gradio passes the current 'message' and the 'history' list.
-    We convert the history to LangChain format and invoke the chain.
+    With type='messages', history is a list of dicts.
     """
-    # Convert Gradio history format to LangChain messages
     formatted_history = []
-    for human, ai in history:
-        formatted_history.append(("human", human))
-        formatted_history.append(("ai", ai))
+    
+    # Correctly parse the new Gradio dictionary format
+    for msg in history:
+        if msg["role"] == "user":
+            formatted_history.append(("human", msg["content"]))
+        elif msg["role"] == "assistant":
+            formatted_history.append(("ai", msg["content"]))
 
-    # Run the chain
+    # Run the LangChain invocation
     response = chain.invoke({
         "chat_history": formatted_history,
         "user_message": message
     })
-
+    
     return response
 
 # 6. Launch the Gradio Interface