Update app.py

app.py

@@ -71,13 +71,7 @@ pipe = pipeline("audio-classification", model=model_id, device=device)
 
 
 def classify_audio(filepath):
-    """
-      Goes from
-      [{'score': 0.8339303731918335, 'label': 'country'},
-    {'score': 0.11914275586605072, 'label': 'rock'},]
-     to
-     {"country":  0.8339303731918335, "rock":0.11914275586605072}
-    """
+    
     start_time = timer()
     preds = pipe(filepath)
     # preds = predict_trunc(filepath)
@@ -93,7 +87,7 @@ description = """
 Demo for a music genre classifier trained on [GTZAN](https://huggingface.co/datasets/marsyas/gtzan)
 For more info checkout [GITHUB](https://github.com/AEscF)
 """
-filenames = ['blues.00098.wav', "disco.00020.wav", "classical.00075.wav","keyboard-153960.mp3"]
+filenames = ['EN_0049.wav', "FR_0098.wav", "JP_0222.wav",]
 filenames = [[f"./{f}"] for f in filenames]
 demo = gr.Interface(
     fn=classify_audio,