app.py

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

def inference(audio):
    os.makedirs("out", exist_ok=True)
  write('test.wav', audio[0], audio[1])
  os.system("python3 -m demucs.separate -n mdx_extra_q -d cpu test.wav -o out")
  time.sleep(5)  # wait for 5 seconds
  return "./out/mdx_extra_q/test/vocals.wav","./out/mdx_extra_q/test/bass.wav",\
"./out/mdx_extra_q/test/drums.wav","./out/mdx_extra_q/test/other.wav"
  
title = "Demucs"
description = "Forked from here https://huggingface.co/spaces/akhaliq/demucs/ and changed to updated demucs pip source. Gradio demo for Demucs: Music Source Separation in the Waveform Domain. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1911.13254' target='_blank'>Music Source Separation in the Waveform Domain</a> | <a href='https://github.com/facebookresearch/demucs' target='_blank'>Github Repo</a></p>"

examples=[['test.mp3']]

gr.Interface(
    inference, 
    components.Audio(type="numpy", label="Input"), 
    [
        components.Audio(type="filepath", label="Vocals"),
        components.Audio(type="filepath", label="Bass"),
        components.Audio(type="filepath", label="Drums"),
        components.Audio(type="filepath", label="Other")
    ],
    title=title,
    description=description,
    article=article,
    examples=examples
    ).launch(enable_queue=True)