app.py

import gradio as gr
import torchaudio
from audiocraft.models import MAGNeT
from audiocraft. data. audio import audio_write

model = MAGNeT.get_pretrained('facebook/magnet-small-10secs')


def infer(description):
    descriptions = ['disco beat', 'energetic EDM']

    wav = model.generate(descriptions) 
    
    for idx, one_wav in enumerate(wav):
        print(idx)
        audio_write(f'{idx}', 
                    one_wav.cpu(), 
                    model.sample_rate, 
                    strategy="loudness", 
                    loudness_compressor=True)
        
    return "done"

gr.Interface(
    fn = infer,
    inputs = gr.Textbox(value="gogo"),
    outputs = gr.Textbox()
).launch()