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| title: Test Moseca | |
| emoji: 🎤🎸🥁🎹 | |
| colorFrom: yellow | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| models: ["https://huggingface.co/fabiogra/baseline_vocal_remover"] | |
| tags: ["audio", "music", "vocal-removal", "karaoke", "music-separation", "music-source-separation"] | |
| pinned: true | |
| <p align="center"> | |
| <img src="img/logo_moseca.png" alt="logo" width="70" /> | |
| </p> | |
| <h2 align="center">Moseca</h1> | |
| <p align="center">Music Source Separation & Karaoke</p> | |
| </a> | |
| <a href="https://huggingface.co/spaces/fabiogra/moseca?duplicate=true"> | |
| <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue" | |
| alt="Hugging Face Spaces"></a> | |
| <a href="https://huggingface.co/spaces/fabiogra/moseca/discussions?docker=true"> | |
| <img src="https://img.shields.io/badge/-Docker%20Image-blue?logo=docker&labelColor=white" | |
| alt="Docker"></a><a href="https://www.buymeacoffee.com/fabiogra"> | |
| <img src="https://img.shields.io/badge/Buy%20me%20a%20coffee--yellow.svg?logo=buy-me-a-coffee&logoColor=orange&style=social" | |
| alt="Buy me a coffee"></a> | |
| --- | |
| - [Setup](#setup) | |
| - [About](#about) | |
| - [High-Quality Stem Separation](#high-quality-stem-separation) | |
| - [Advanced AI Algorithms](#advanced-ai-algorithms) | |
| - [Karaoke Fun](#karaoke-fun) | |
| - [Easy Deployment](#easy-deployment) | |
| - [Open-Source and Free](#open-source-and-free) | |
| - [Support](#support) | |
| - [FAQs](#faqs) | |
| - [What is Moseca?](#what-is-moseca) | |
| - [Are there any limitations?](#are-there-any-limitations) | |
| - [How does Moseca work?](#how-does-moseca-work) | |
| - [How do I use Moseca?](#how-do-i-use-moseca) | |
| - [Where can I find the code for Moseca?](#where-can-i-find-the-code-for-moseca) | |
| - [How can I get in touch with you?](#how-can-i-get-in-touch-with-you) | |
| - [Disclaimer](#disclaimer) | |
| --- | |
| ## Setup | |
| ### Local environment | |
| Create a new environment with Python 3.8 and install the requirements: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| then run the app with: | |
| ```bash | |
| streamlit run app/header.py | |
| ``` | |
| ### Docker | |
| You can also run the app with Docker: | |
| ```bash | |
| docker build -t moseca . | |
| docker run -it --rm -p 7860:7860 $(DOCKER_IMAGE_NAME) | |
| ``` | |
| or pull the image from Hugging Face Spaces: | |
| ```bash | |
| docker run -it -p 7860:7860 --platform=linux/amd64 \ | |
| registry.hf.space/fabiogra-moseca:latest | |
| ``` | |
| You can set the following environment variables to limit the resources used by the app: | |
| - ENV_LIMITATION=true | |
| - LIMIT_CPU=true | |
| --- | |
| ## About | |
| Welcome to Moseca, your personal web application designed to redefine your music experience. | |
| Whether you're a musician looking to remix your favorite songs, a karaoke | |
| enthusiast, or a music lover wanting to dive deeper into your favorite tracks, | |
| Moseca is for you. | |
| <br> | |
| ### High-Quality Stem Separation | |
| <img title="High-Quality Stem Separation" src="https://i.imgur.com/l7H8YWL.png" width="250" ></img> | |
| <br> | |
| Separate up to 6 stems including 🗣voice, 🥁drums, 🔉bass, 🎸guitar, | |
| 🎹piano (beta), and 🎶 others. | |
| <br> | |
| ### Advanced AI Algorithms | |
| <img title="Advanced AI Algorithms" src="https://i.imgur.com/I8Pvdav.png" width="250" ></img> | |
| <br> | |
| Moseca utilizes state-of-the-art AI technology to extract voice or music from | |
| your original songs accurately. | |
| <br> | |
| ### Karaoke Fun | |
| <img title="Karaoke Fun" src="https://i.imgur.com/nsn3JGV.png" width="250" ></img> | |
| <br> | |
| Engage with your favorite tunes in a whole new way! | |
| Moseca offers an immersive online karaoke experience, allowing you to search | |
| for any song on YouTube and remove the vocals online. | |
| Enjoy singing along with high-quality instrumentals at the comfort of your home. | |
| <br> | |
| ### Easy Deployment | |
| With Moseca, you can deploy your personal Moseca app in the | |
| <a href="https://huggingface.co/spaces/fabiogra/moseca?duplicate=true"> | |
| <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue" | |
| alt="Hugging Face Spaces"></a> or locally with | |
| [](https://huggingface.co/spaces/fabiogra/moseca/discussions?docker=true) | |
| in just one click. | |
| <br> | |
| ### Open-Source and Free | |
| Moseca is the free and open-source alternative to lalal.ai, splitter.ai or media.io vocal remover. | |
| You can modify, distribute, and use it free of charge. I believe in the power of community | |
| collaboration and encourage users to contribute to our source code, making Moseca better with | |
| each update. | |
| <br> | |
| ### Support | |
| - Show your support by giving a star to the GitHub repository [](https://github.com/fabiogra/moseca). | |
| - If you have found an issue or have a suggestion to improve Moseca, you can open an [](https://github.com/fabiogra/moseca/issues/new) | |
| - Enjoy Moseca? [](https://www.buymeacoffee.com/fabiogra) | |
| ------ | |
| ## FAQs | |
| ### What is Moseca? | |
| Moseca is an open-source web app that utilizes advanced AI technology to separate vocals and | |
| instrumentals from music tracks. It also provides an online karaoke experience by allowing you | |
| to search for any song on YouTube and remove the vocals. | |
| ### Are there any limitations? | |
| Yes, in this environment there are some limitations regarding lenght processing | |
| and CPU usage to allow a smooth experience for all users. | |
| <b>If you want to <u>remove these limitations</u> you can deploy a Moseca app in your personal | |
| environment like in the <a href="https://huggingface.co/spaces/fabiogra/moseca?duplicate=true"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue" alt="Hugging Face Spaces"></a> or locally with [](https://huggingface.co/spaces/fabiogra/moseca/discussions?docker=true)</b> | |
| ### How does Moseca work? | |
| Moseca utilizes the Hybrid Spectrogram and Waveform Source Separation ([DEMUCS](https://github.com/facebookresearch/demucs)) model from Facebook. For fast karaoke vocal removal, Moseca uses the AI vocal remover developed by [tsurumeso](https://github.com/tsurumeso/vocal-remover). | |
| ### How do I use Moseca? | |
| 1. Upload your file: choose your song and upload it to Moseca. It supports | |
| a wide range of music formats for your convenience. | |
| 2. Choose separation mode: opt for voice only, 4-stem or 6-stem separation | |
| depending on your requirement. | |
| 3. Let AI do its magic: Moseca’s advanced AI will work to separate vocals | |
| from music in a matter of minutes, giving you high-quality, separated audio tracks. | |
| 4. Download and enjoy: preview and download your separated audio tracks. | |
| Now you can enjoy them anytime, anywhere! | |
| ### Where can I find the code for Moseca? | |
| The code for Moseca is readily available on | |
| [GitHub](https://github.com/fabiogra/moseca) and | |
| [Hugging Face](https://huggingface.co/spaces/fabiogra/moseca). | |
| ### How can I get in touch with you? | |
| For any questions or feedback, feel free to contact me on | |
| [](https://twitter.com/grsFabio) | |
| or [LinkedIn](https://www.linkedin.com/in/fabio-grasso/en). | |
| ------ | |
| ## Disclaimer | |
| Moseca is designed to separate vocals and instruments from copyrighted music for | |
| legally permissible purposes, such as learning, practicing, research, or other non-commercial | |
| activities that fall within the scope of fair use or exceptions to copyright. As a user, you are | |
| responsible for ensuring that your use of separated audio tracks complies with the legal | |
| requirements in your jurisdiction. | |