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import librosa
import gradio as gr
import subprocess
import os
import uuid
MAX_DURATION = 60 # seconds
def clean_audio(audio_path):
duration = librosa.get_duration(path=audio_path)
if duration > MAX_DURATION:
raise gr.Error("❌ Audio too long. Max 60 seconds allowed.")
uid = str(uuid.uuid4())
out_dir = f"/tmp/out_{uid}"
os.makedirs(out_dir, exist_ok=True)
cmd = [
"python", "-m", "demucs",
"-n", "htdemucs",
audio_path,
"-o", out_dir
]
subprocess.run(cmd, check=True)
model_dir = os.path.join(out_dir, "htdemucs")
song_dir = os.listdir(model_dir)[0]
vocals_path = os.path.join(model_dir, song_dir, "vocals.wav")
return vocals_path
gr.Interface(
fn=clean_audio,
inputs=gr.Audio(type="filepath", label="Upload Audio"),
outputs=gr.Audio(type="filepath", label="Clean Vocals"),
title="AI Voice Cleaner & Vocal Remover",
description="Demucs-based vocal separation (HF Spaces compatible)"
).launch() |