Update app.py

app.py

@@ -1,13 +1,12 @@
 import gradio as gr
-import librosa
 from transformers import pipeline
 
-pipe = pipeline("audio-classification", model="lewtun/distilhubert-finetuned-gtzan")
+model_id = "lewtun/distilhubert-finetuned-gtzan"
+pipe = pipeline("audio-classification", model=model_id)
 
 
 def classify_audio(filepath):
-    audio, sampling_rate = librosa.load(filepath, sr=16_000)
-    preds = pipe(audio)
+    preds = pipe(filepath)
     outputs = {}
     for p in preds:
         outputs[p["label"]] = p["score"]