| import numpy as np | |
| import librosa | |
| import gradio as gr | |
| def greet(name): | |
| mel = np.load("melspe.npy") | |
| #mel -> audio | |
| audio = librosa.feature.inverse.mel_to_audio(mel) | |
| print("audio") | |
| #Export wav | |
| librosa.output.write_wav("audio.wav",audio,22050) | |
| return audio | |
| iface = gr.Interface(fn=greet, inputs= gr.Image(label="Mel spectrogram", image_mode="L"), outputs=gr.Audio(label="Audio")) | |
| iface.launch() | |
| #Read melpectogram of npy file | |