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