A newer version of the Gradio SDK is available:
6.6.0
metadata
title: Demucs Stem Separator
emoji: π΅
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 6.3.0
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
tags:
- audio-separation
- stem-separation
- demucs
- mcp-server
short_description: Separate audio into vocals, drums, bass, other stems
π΅ Demucs Stem Separator
Separate audio β Vocals | Drums | Bass | Other
| Stem | Output |
|---|---|
| π€ Vocals | Singing, voice |
| π₯ Drums | Percussion |
| πΈ Bass | Low frequencies |
| πΉ Other | Guitars, synths |
Formats: MP3, WAV, FLAC, OGG, M4A
API
Python Client
from gradio_client import Client, handle_file
client = Client("Luminia/demucs")
vocals, drums, bass, other = client.predict(
audio_file=handle_file("song.wav"),
model_name="htdemucs", # or "htdemucs_ft"
api_name="/separate"
)
REST API (curl)
# Submit
curl -X POST "https://luminia-demucs.hf.space/gradio_api/call/separate" \
-H "Content-Type: application/json" \
-d '{"data": ["https://example.com/song.mp3", "htdemucs"]}'
# Get result (use event_id from response)
curl "https://luminia-demucs.hf.space/gradio_api/call/separate/{event_id}"
MCP
{
"mcpServers": {
"demucs": {
"url": "https://luminia-demucs.hf.space/gradio_api/mcp/"
}
}
}
Demucs by Facebook Research