Update app.py

app.py

@@ -75,7 +75,6 @@ def predict_chat(message: str, history: list):
         yield "Error: Model or tokenizer failed to load. Please check the Space logs for details."
         return
 
-    # history is already in the 'messages' format if type='messages' is set on chatbot
     messages = [{"role": "system", "content": "You are a friendly chatbot."}] + history 
     messages.append({"role": "user", "content": message})
 
@@ -129,18 +128,15 @@ def predict_chat(message: str, history: list):
 if __name__ == "__main__":
     load_model_for_zerocpu()
 
-    # Initial message for the chatbot in the 'messages' format
     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,
-        # Pass the pre-defined chatbot_component
         chatbot=chatbot_component, 
         textbox=gr.Textbox(
             placeholder="Ask me a question...",
@@ -161,11 +157,9 @@ if __name__ == "__main__":
             ["What's the best way to stay motivated?"],
         ],
         cache_examples=False,
-        clear_btn="Clear Chat" 
+        # REMOVED: 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()