Update app.py

app.py

@@ -1,5 +1,6 @@
 import os
 import gradio as gr
+import asyncio
 from smolagents import Agent
 from smolagents.mcp import MCPServerHTTP
 from smolagents.models import HuggingFaceModel
@@ -13,9 +14,9 @@ server = MCPServerHTTP(url=SSE_URL)
 
 # Use HF Qwen3-8B model from Hugging Face Hub
 hf_model = HuggingFaceModel(
-    model_name="Qwen/Qwen-3-8B",  # change this if you have exact repo name or path
+    model_name="Qwen/Qwen-3-8B",
     provider=HuggingFaceProvider(
-        api_token="HF_TOKEN"  # put your HF token here if required
+        api_token=HF_TOKEN
     )
 )
 
@@ -24,19 +25,19 @@ agent = Agent(
     model=hf_model,
     mcp_servers=[server],
     instructions="""
-    Your name is Jobcy. You are an AI assistant designed to help users to find remote jobs by searching through job listings from various sources, including the Jobicy API and other platforms.
-    You will list the job listings in a structured format, including the job title, company, location, and the google search link.
+    Your name is Jobcy. You are an AI assistant designed to help users find remote jobs by searching through job listings from various sources, including the Jobicy API and other platforms.
+    You will list the job listings in a structured format, including the job title, company, location, and the Google search link.
     """,
     stream=False
 )
 
-def chat_with_agent(user_input, history):
+async def chat_with_agent(user_input, history):
     history = history or []
     history.append(("user", user_input))
 
-    result = agent.run(user_input)
+    result = await agent.run(user_input)
 
-    history.append(("agent", result))
+    history.append(("agent", result.output))  # result.output contains the answer text
     return history, history
 
 with gr.Blocks() as demo:
@@ -47,4 +48,4 @@ with gr.Blocks() as demo:
     user_input.submit(chat_with_agent, inputs=[user_input, state], outputs=[chatbot, state])
 
 demo.title = "Jobcy Remote Job Search Assistant"
-demo.launch()
+demo.launch()