--- title: Music Splitter emoji: 🎶 colorFrom: indigo colorTo: yellow sdk: docker pinned: true --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference # Music Source Splitter 🎶 Hugging Face Spaces This is a streamlit demo of the [Music Source Separation](https://huggingface.co/spaces/fabiogra/st-music-splitter). The model can separate the vocals, drums, bass, and other from a music track. ## Usage You can use the demo [here](https://huggingface.co/spaces/fabiogra/st-music-splitter), or run it locally with: ```bash streamlit run app.py ``` > **Note**: In order to run the demo locally, you need to install the dependencies with `pip install -r requirements.txt`. ## How it works The app uses a pretrained model called Hybrid Spectrogram and Waveform Source Separation from facebook/htdemucs. ## Acknowledgements - HtDemucs model from facebook/htdemucs - Streamlit Audio Recorder from stefanrmmr/streamlit_audio_recorder