Update app.py

app.py

@@ -11,7 +11,10 @@ def mel_to_audio(mel_spectrogram):
   # convert the Mel spectrogram image to audio using librosa
   # specify the data type of the output array to avoid the same_kind casting error
   audio = librosa.feature.inverse.mel_to_audio(mel_spectrogram, dtype=np.float64)
-  return audio
+  # Save the audio to a file
+  output = 'output.wav'
+  librosa.output.write_wav(output, audio, 44100)
+  return output
 
 # create the gradio app
 app = gr.Interface(mel_to_audio, "image", "audio")