import gradio as gr
import numpy as np
import librosa

# import the librosa library for converting audio to a Mel spectrogram image

def audio_to_mel(audio):
  # convert the audio to a Mel spectrogram image using librosa
  # specify the data type of the output array to avoid the same_kind casting error
  mel_spectrogram = librosa.feature.melspectrogram(audio, dtype=np.float64)
  return mel_spectrogram

# create the gradio app
app = gr.Interface(audio_to_mel, "audio", "image")
app.launch()