Update app.py

app.py

@@ -2,6 +2,10 @@ import gradio as gr
 from openai import OpenAI
 
 def respond(message, chat_history, api_key):
+    # Failsafe to ensure history initializes as an empty list
+    if chat_history is None:
+        chat_history = []
+        
     # Gatekeeper: Halt execution if no compute resource is provided
     if not api_key:
         chat_history.append({"role": "user", "content": message})
@@ -19,7 +23,7 @@ def respond(message, chat_history, api_key):
             }
         ]
         
-        # Because Gradio 6.0 uses the exact same format as OpenAI, we can just extend the list
+        # Pass the direct Gradio history into the OpenAI pipeline
         openai_messages.extend(chat_history)
         openai_messages.append({"role": "user", "content": message})
         
@@ -32,7 +36,7 @@ def respond(message, chat_history, api_key):
         
         bot_reply = response.choices[0].message.content
         
-        # Append the new interaction using the correct dictionary format
+        # Append the new interaction using the native dictionary format
         chat_history.append({"role": "user", "content": message})
         chat_history.append({"role": "assistant", "content": bot_reply})
         
@@ -71,8 +75,8 @@ with gr.Blocks() as demo:
             info="Injected dynamically at runtime. Keys are not stored or logged."
         )
         
-    # 2. Main Chat Display - Explicitly set to 'messages' format to prevent errors
-    chatbot = gr.Chatbot(height=450, label="Intelligence Feed", type="messages")
+    # 2. Main Chat Display - Removed the 'type' parameter as it is now strictly implicit
+    chatbot = gr.Chatbot(height=450, label="Intelligence Feed")
     
     # 3. User Input Area
     with gr.Row():