Update app.py

app.py

@@ -30,6 +30,8 @@ def classify_audio(audio):
     # Convert the audio data to NumPy array
     rate, ar = audio
     arone = ar.astype(np.float32)
+    if arone.ndim > 1:
+        arone = arone.flatten()
     mel_spectrogram = librosa.feature.melspectrogram(y=arone, sr=SAMPLE_RATE, n_mels=N_MELS)
     mel_spectrogram = librosa.power_to_db(mel_spectrogram, ref=np.max)