First Commit

app.py

@@ -49,18 +49,21 @@ async def get_agent():
             print(f"❌ Error creating/loading agent: {str(e)}")
     return agent_instance
 
-
 @app.on_event("startup")
 async def startup_event():
     global agent_instance
     agent_instance = await get_agent()
 
 
+
 async def chat_function(user_message, history, model_id):
+    global agent_instance
+    if agent_instance is None:
+        agent_instance = await get_agent()
     prompt=f"""You're an assistant helping with hugging face model cards.
-First, run the tool `read_model_card` on repo_id `{model_id}` to get the model card.
-Then answer this user question based on the model card:
-User question: {user_message}"""
+        First, run the tool `read_model_card` on repo_id `{model_id}` to get the model card.
+        Then answer this user question based on the model card:
+        User question: {user_message}"""
     history = history + [(user_message, None)]
     try:
         response = ""
@@ -81,10 +84,10 @@ def create_gradio_app():
         gr.Markdown("## 🤖 Model Card Chatbot\nAsk questions about Hugging Face model card")
         with gr.Row():
             model_id=gr.Textbox(label="MODEL ID", value="google/gemma-2-2b")
-            user_input=gr.Textbox(label="Your Question",value="Ask something about the model card .....")
+            user_input=gr.Textbox(label="Your Question",placeholder="Ask something about the model card .....")
             send=gr.Button("Ask")
             chatbot=gr.Chatbot(label="chat")
-            send.click(fn=chat_function,inputs=[user_input,chatbot,model_id],outputs=[chatbot,user_input])
+            send.click(fn=chat_function, inputs=[user_input,chatbot,model_id], outputs=[chatbot,user_input])
             return demo
 gradio_app=create_gradio_app()
 app=gr.mount_gradio_app(app,gradio_app,path="/")