app.py

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

def extract_vocals(audio):
    if audio is None:
        return None
    os.makedirs("out", exist_ok=True)
    rate, data = audio
    write("input.wav", rate, data)
    os.system("python3 -m demucs.separate -n htdemucs --two-stems=vocals -d cpu input.wav -o out")
    return "out/htdemucs/input/vocals.wav"

app = gr.Interface(
    fn=extract_vocals,
    inputs=gr.Audio(type="numpy", label="Upload audio"),
    outputs=gr.Audio(type="filepath", label="Extracted Vocals"),
    title="Fix My Recording – Vocal Cleaner",
    description="Isolate vocals from music using Demucs. Powered by htdemucs."
)