Update app.py

app.py

@@ -192,17 +192,10 @@ ctx = Context(workflow)
 
 # New unified respond() function
 async def respond(message, history):
-    # (Optional) Format history if needed by your agent system
-    formatted_history = []
-    for user_msg, bot_msg in history:
-        if user_msg:  # User input
-            formatted_history.append({"role": "user", "content": user_msg})
-        if bot_msg:  # Bot output
-            formatted_history.append({"role": "assistant", "content": bot_msg})
-
-    # Run the agent workflow
     out = await workflow.run(user_msg=message, ctx=ctx, memory=memory)
-    return out.response.blocks[0].text
+    answer = out.response.blocks[0].text
+    # Return the full updated history
+    return history + [[message, answer]]
 
 # --- Gradio UI ---
 # with gr.Blocks() as demo:
@@ -218,13 +211,12 @@ async def respond(message, history):
 #     txt.submit(respond_gradio, inputs=[txt, chatbot], outputs=chatbot)
 
 # demo.launch()
-
 with gr.Blocks() as demo:
     gr.Markdown("## 🗞️ Multi‐Agent News & Weather Chatbot")
     gr.Markdown(
         "This bot can check the news, tell you the weather, and even browse websites to answer follow-up questions — all powered by a team of tiny AI agents working behind the scenes.\n\n"
-        "🧪 Built for fun during the [AI Agents course](https://huggingface.co/learn/agents-course/unit0/introduction) — it's just a demo to show what agents can do.\n"
-        "🙌 Got ideas or improvements? PRs welcome!\n\n"
+        "🧪 Built for fun during the [AI Agents course](https://huggingface.co/learn/agents-course/unit0/introduction) — it's just a demo to show what agents can do.  \n"
+        "🙌 Got ideas or improvements? PRs welcome!  \n\n"
         "👉 _Try asking “What’s the weather in Montreal?” or “What’s in the news today?”_"
     )