Update app.py

app.py

@@ -27,8 +27,8 @@ def respond(message, chat_history):
     # Inject chat history so the bot remembers the conversation context
     for turn in chat_history:
         # Check if history is structured as objects or dicts (Gradio 6 style)
-        user_msg = turn.get("text") if isinstance(turn, dict) else turn[0]
-        bot_msg = turn.get("text") if isinstance(turn, dict) else turn[1]
+        user_msg = turn.get("text") if isinstance(turn, dict) else turn
+        bot_msg = turn.get("text") if isinstance(turn, dict) else turn
         
         if user_msg:
             formatted_prompt += f"<|start_header_id|>user<|end_header_id|>\n{user_msg}<|eot_id|>"
@@ -52,14 +52,14 @@ def respond(message, chat_history):
         token_accumulator += token_text
         yield token_accumulator
 
-# 4. Create the web dashboard layout using Gradio ChatInterface
-demo = gr.ChatInterface(
-    fn=respond,
-    title="🤖 Free Llama 3.2 CPU Chatbot",
-    description="Running 24/7/365 for free on Hugging Face Spaces using CPU inference.",
-    examples=["Explain quantum computing simply.", "Write a short poem about coding."],
-    theme="soft"
-)
+# 4. Create the web dashboard layout using a global theme block wrapper
+with gr.Blocks(theme="soft") as demo:
+    gr.ChatInterface(
+        fn=respond,
+        title="🤖 Free Llama 3.2 CPU Chatbot",
+        description="Running 24/7/365 for free on Hugging Face Spaces using CPU inference.",
+        examples=["Explain quantum computing simply.", "Write a short poem about coding."]
+    )
 
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)