Update app.py

app.py

@@ -181,14 +181,26 @@ workflow = AgentWorkflow(
 ctx = Context(workflow)
 
 # Sync wrapper
-def respond(query: str) -> str:
-    out = asyncio.run(workflow.run(user_msg=query, ctx=ctx, memory=memory))
+async def respond(query: str) -> str:
+    out = await workflow.run(user_msg=query, ctx=ctx, memory=memory)
     return out.response.blocks[0].text
+    
+# Async response handler for Gradio
+async def respond_gradio(query, chat_history):
+    answer = await respond(query)
+    return chat_history + [[query, answer]]
 
 # --- Gradio UI ---
 with gr.Blocks() as demo:
-    gr.Markdown("## 🗞️ Multi‐Agent News & Weather Chatbot")
+    gr.Markdown("## 🤖 Perspicacity")
+    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) at Hugging Face — it's just a demo to show what agents can do.  \n"
+    "🙌 Got ideas or improvements? PRs welcome!"
+    )
     chatbot = gr.Chatbot()
-    txt     = gr.Textbox(placeholder="Ask me about news, weather or anything…")
-    txt.submit(lambda q, chat: (chat + [[q, respond(q)]]), [txt, chatbot], chatbot)
-    demo.launch()
+    txt = gr.Textbox(placeholder="Ask me about news, weather, etc…")
+
+    txt.submit(respond_gradio, inputs=[txt, chatbot], outputs=chatbot)
+
+demo.launch()