Update app.py

app.py

@@ -1,24 +1,16 @@
 import gradio as gr
-from pipeline import run_with_chain  # Import the updated pipeline function
+from pipeline import run_with_chain
 
-# Define a function that connects the Gradio interface to the pipeline
 def ask_dailywellness(query: str) -> str:
-    try:
-        # Call the run_with_chain function that processes the query
-        response = run_with_chain(query)
-        return response
-    except Exception as e:
-        return f"Error processing your request: {str(e)}"
+    return run_with_chain(query)
 
-# Define the Gradio interface
 interface = gr.Interface(
     fn=ask_dailywellness,
     inputs=gr.Textbox(lines=2, label="Ask DailyWellnessAI"),
     outputs=gr.Textbox(label="DailyWellnessAI Answer"),
     title="DailyWellnessAI",
-    description="Ask about wellness or DailyWellnessAI brand. Out-of-scope queries will be redirected with relevant information."
+    description="Ask about wellness or DailyWellnessAI brand. Out-of-scope"
 )
 
 if __name__ == "__main__":
-    # Launch the Gradio interface with a server
-    interface.launch(server_name="0.0.0.0", server_port=7860, share=True)
+    interface.launch(server_name="0.0.0.0", server_port=7860)