Update app.py

app.py

@@ -76,7 +76,6 @@ def predict_chat(message: str, history: list):
         return
 
     # history is already in the 'messages' format if type='messages' is set on chatbot
-    # It contains dictionaries with 'role' and 'content'
     messages = [{"role": "system", "content": "You are a friendly chatbot."}] + history 
     messages.append({"role": "user", "content": message})
 
@@ -131,15 +130,18 @@ if __name__ == "__main__":
     load_model_for_zerocpu()
 
     # Initial message for the chatbot in the 'messages' format
-    initial_messages = [{"role": "assistant", "content": 
+    initial_messages_for_value = [{"role": "assistant", "content": 
         "Hello! I'm an AI assistant. I'm currently running in a CPU-only "
         "environment for efficient demonstration. How can I help you today?"
     }]
 
+    # Define the Chatbot component without initial value in the constructor
+    chatbot_component = gr.Chatbot(height=500, type='messages')
+    
     demo = gr.ChatInterface(
         fn=predict_chat,
-        # Define the chatbot here, with type='messages' and initial value in the correct format
-        chatbot=gr.Chatbot(height=500, type='messages', value=initial_messages),
+        # Pass the pre-defined chatbot_component
+        chatbot=chatbot_component, 
         textbox=gr.Textbox(
             placeholder="Ask me a question...",
             container=False,
@@ -162,4 +164,8 @@ if __name__ == "__main__":
         clear_btn="Clear Chat" 
     )
 
+    # NEW LINE: Set the initial value after the demo (ChatInterface) is created
+    # This specifically targets the internal chatbot component that ChatInterface uses.
+    demo.chatbot.value = initial_messages_for_value 
+
     demo.launch()