Update app.py

app.py

@@ -1,5 +1,5 @@
-from transformers import pipeline
 import gradio as gr
+from transformers import pipeline
 
 
 model_id = "Teapack1/model_KWS"  # update with your model id
@@ -15,7 +15,7 @@ def classify_audio(audio):
     return predictions
     
 
-demo = gr.Interface(
+iface = gr.Interface(
     fn=classify_audio,
     inputs=gr.inputs.Audio(source="microphone", type="numpy", label="Record your audio"),
     outputs="label",
@@ -23,4 +23,4 @@ demo = gr.Interface(
     description="A simple demo to classify audio using a Hugging Face model."
 )
 
-demo.launch(debug=True, share=True)
+iface.launch(debug=True, share=True)