Update app.py

app.py

@@ -25,16 +25,16 @@ pipe = pipeline(
 )
 
 # Define the function to classify an audio file
-def classify_audio(audio_filepath):
+def classify_audio(audio):
     """
     Takes an audio file path, classifies it using the pipeline,
     and returns a dictionary of top labels and their scores.
     """
-    if audio_filepath is None:
+    if audio is None:
         return "Please upload an audio file first."
 
     # The pipeline handles the loading, preprocessing, and inference.
-    result = pipe(audio_filepath)
+    result = pipe(audio)
     # The output is formatted for the Gradio Label component.
     return {label['label']: label['score'] for label in result}
 
@@ -43,7 +43,7 @@ app = gr.Interface(
     fn=classify_audio,                  # Function to classify audio
     inputs=gr.Audio(type="filepath", label="Upload Audio"), # Input for uploading an audio file
     outputs=gr.Label(num_top_classes=3, label="Top 3 Predictions"), # Output with top 3 classification results
-    title="High-Performance Audio Classification (CPU)", # App title
+    title="Audio Classification", # App title
     description="Upload an audio file to classify it. This app is optimized to run on all available CPU cores.",
     examples=[
         # You can add example audio files here if you have them locally