{"id":20049141,"url":"https://github.com/0b01/autobasstab-web","last_synced_at":"2026-03-06T14:10:47.662Z","repository":{"id":80974689,"uuid":"280335031","full_name":"0b01/autobasstab-web","owner":"0b01","description":null,"archived":false,"fork":false,"pushed_at":"2020-07-27T00:58:03.000Z","size":69551,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-08-02T11:49:38.276Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/0b01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-07-17T05:30:05.000Z","updated_at":"2023-04-12T08:23:24.000Z","dependencies_parsed_at":null,"dependency_job_id":"800fa509-2c8f-47f9-b016-c5edff1a2be0","html_url":"https://github.com/0b01/autobasstab-web","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/0b01/autobasstab-web","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0b01%2Fautobasstab-web","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0b01%2Fautobasstab-web/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0b01%2Fautobasstab-web/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0b01%2Fautobasstab-web/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/0b01","download_url":"https://codeload.github.com/0b01/autobasstab-web/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0b01%2Fautobasstab-web/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30180643,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-06T12:39:21.703Z","status":"ssl_error","status_checked_at":"2026-03-06T12:36:09.819Z","response_time":250,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-13T11:48:45.087Z","updated_at":"2026-03-06T14:10:47.620Z","avatar_url":"https://github.com/0b01.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Spleeter Web\n[![Docker Compose push](https://github.com/JeffreyCA/spleeter-web/workflows/Docker%20Compose%20push/badge.svg)](https://github.com/JeffreyCA/spleeter-web/actions?query=workflow%3A%22Docker+Compose+push%22)\n\nSpleeter Web is a web application for isolating or removing the vocal, accompaniment, bass, and/or drum components of any song. For example, you can use it to isolate the vocals of a track, or remove the vocals to get an instrumental version of a song.\n\nIt is powered by [Spleeter](https://github.com/deezer/spleeter), the awesome source separation library from Deezer that uses deep learning to separate the various components of a song. Spleeter Web uses the pretrained model [`4stems-model`](https://github.com/deezer/spleeter/wiki/3.-Models#pretrained-model), which performs very well on the [*MusDB*](https://sigsep.github.io/datasets/musdb.html) benchmark.\n\nThe app uses [Django](https://www.djangoproject.com/) for the backend API and [React](https://reactjs.org/) for the frontend. [Huey](https://huey.readthedocs.io/en/latest/) is used for the task queue.\n\n### Features\n- Uses deep neural networks (Spleeter) to separate audio tracks into any combination of their vocal, accompaniment, bass, and drum components\n- Import tracks by file (MP3, FLAC, WAV) or by YouTube link\n- Persistent audio library with ability to stream and download your source tracks and processed tracks\n- Uses background task queue to process audio and handle YouTube link conversion/imports\n- Customize number of background workers working on audio separation and YouTube importing\n- Supports third-party storage backends like S3 and Azure Blobs\n- Clean and responsive UI\n- Fully Dockerized\n\n### [Demo site](https://jeffreyca.github.io/spleeter-web/)\n\u003cimg src=\"./screenshots/main.png\" width=\"70%\"\u003e\n\n## Getting started with Docker\n### Requirements\n* 4 GB+ of memory (source separation is memory-intensive)\n* [Docker](https://www.docker.com/) and [Docker Compose](https://docs.docker.com/compose/install/)\n\n### Instructions\n1. Build and start containers using the development Docker config:\n\n    ```sh\n    \u003e docker-compose -f docker-compose.yml -f docker-compose.build.yml -f docker-compose.dev.yml up --build\n    ```\n\n2. Launch **Spleeter Web**\n\n    Navigate to [http://127.0.0.1:8000](http://127.0.0.1:8000) in your browser. Uploaded and separated tracks will appear in `media/uploads` and `media/separate` respectively on your host machine.\n\n## Getting started without Docker\n### Requirements\n* 4 GB+ of memory (source separation is memory-intensive)\n* Python 3.6 or 3.7 ([link](https://www.python.org/downloads/))\n* Node.JS 12 ([link](https://nodejs.org/en/download/))\n* ffmpeg and ffprobe ([link](https://www.ffmpeg.org/download.html))\n    * On macOS, you can install using Homebrew or MacPorts\n    * On Windows, you can follow [this guide](http://blog.gregzaal.com/how-to-install-ffmpeg-on-windows/)\n\n### Instructions\n1. Create Python virtual environment\n    ```sh\n    \u003e python -m venv env\n    # Unix/macOS:\n    \u003e source env/bin/activate\n    # Windows:\n    \u003e .\\env\\Scripts\\activate\n    ```\n2. Install Python dependencies\n    ```sh\n    (env) \u003e pip install -r requirements.txt\n    ```\n3. Install Node dependencies\n    ```sh\n    \u003e cd frontend\n    \u003e npm install\n    ```\n4. Start frontend (from `spleeter-web` directory):\n    ```sh\n    # Unix/macOS:\n    \u003e export DJANGO_DEVELOPMENT=true\n    # Windows:\n    \u003e set DJANGO_DEVELOPMENT=true\n\n    \u003e npm run dev --prefix frontend\n    ```\n5. Start backend in separate terminal (from `spleeter-web` directory):\n    ```sh\n    # Unix/macOS:\n    (env) \u003e export DJANGO_DEVELOPMENT=true\n    # Windows:\n    (env) \u003e set DJANGO_DEVELOPMENT=true\n\n    (env) \u003e python manage.py runserver 0.0.0.0:8000\n    ````\n\n6. Start Huey worker in separate terminal (from `spleeter-web` directory):\n    ```sh\n    # Unix/macOS:\n    (env) \u003e export DJANGO_DEVELOPMENT=true\n    # Windows:\n    (env) \u003e set DJANGO_DEVELOPMENT=true\n\n    (env) \u003e python manage.py run_huey\n    ```\n6. Launch **Spleeter Web**\n\n    Navigate to [http://127.0.0.1:8000](http://127.0.0.1:8000) in your browser. Uploaded and separated tracks will appear in `media/uploads` and `media/separate` respectively.\n\n## Using cloud storage (Azure Storage, AWS S3, etc.)\n\nBy default, **Spleeter Web** uses the local filesystem to store uploaded files and processed track files. It supports many other storage backends like Azure Storage or S3 using [django-storages](https://django-storages.readthedocs.io/en/latest/).\n\nYou can edit `django_react/settings_docker.py` (if using Docker) or `django_react/settings_dev.py` and set `DEFAULT_FILE_STORAGE` to another backend like `'storages.backends.azure_storage.AzureStorage'`.\n\nIn the same file, set the storage backend configuration values (`AZURE_ACCOUNT_KEY` and `AZURE_ACCOUNT_NAME` if using Azure).\n\n## Deploying\n**Spleeter Web** can be deployed on a VPS or a cloud server such as Azure VMs, AWS EC2, DigitalOcean, etc. Deploying to cloud container services like ECS is not yet supported out of the box.\n\n1. Clone this git repo\n    ```sh\n    \u003e git clone https://github.com/JeffreyCA/spleeter-web.git\n    \u003e cd spleeter-web\n    ```\n\n2. If you want your server to self-host the media files instead of using a cloud storage provider, then first edit `django_react/settings_docker.py` and uncomment this line:\n    ```\n    DEFAULT_FILE_STORAGE = 'django.core.files.storage.FileSystemStorage'\n    ```\n    Next, update `docker-compose.prod.selfhost.yml` and replace `/path/to/media` with the path where media files should be stored on the server.\n\n3. In `spleeter-web`, create an `.env` file with the production environment variables\n\n    `.env` file:\n    ```\n    APP_HOST=\u003cdomain name or public IP of server\u003e\n    AZURE_ACCOUNT_KEY=\u003caccount key\u003e   # Optional\n    AZURE_ACCOUNT_NAME=\u003caccount name\u003e # Optional\n    HUEY_WORKERS=\u003cnum workers\u003e        # Optional (default = 2)\n    ```\n\n    These values are used in `django_react/settings_docker.py`, so you can also edit that file directly with your production settings.\n\n4. Build and start production containers\n\n    If you are self-hosting media files:\n    ```sh\n    \u003e sudo docker-compose -f docker-compose.yml -f docker-compose.build.yml -f docker-compose.prod.yml -f docker-compose.prod.selfhost.yml up --build -d\n    ```\n\n    Otherwise if using a storage provider:\n    ```sh\n    \u003e sudo docker-compose -f docker-compose.yml -f docker-compose.build.yml -f docker-compose.prod.yml up --build -d\n    ```\n\n4. Access **Spleeter Web** at whatever you set `APP_HOST` to. Note that it will be running on port 80, not 8000.\n\n## LICENSE\n[MIT](./LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0b01%2Fautobasstab-web","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0b01%2Fautobasstab-web","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0b01%2Fautobasstab-web/lists"}