app.py

import os
import gradio as gr
from scipy.io.wavfile import write
import torch

def inference(audio):
  os.makedirs("out", exist_ok=True)
  write('test.wav', audio[0], audio[1])
  os.system("python3 -m demucs.separate -n htdemucs --two-stems=vocals -d cpu test.wav -o out")
  return "./out/htdemucs/test/vocals.wav","./out/htdemucs/test/no_vocals.wav"
    
title = "Extract Acapellas & Instrumentals"
description = ""
article = "<p style='text-align: center'></p>"

examples=[['test.mp3']]
app = gr.Interface(
    inference, 
    gr.Audio(type="numpy", label="Input"),
    [gr.Audio(type="filepath", label="Acapella"),gr.Audio(type="filepath", label="Instrumental")],
    title=title,
    description=description,
    article=article,
    examples=examples
    )

app.queue()
app.launch()