Spaces:
Running
on
Zero
Running
on
Zero
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Update README.md
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README.md
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sdk: gradio
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app_file: app.py
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pinned: true
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duplicated_from: akhaliq/demucs
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---
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Space emoji (emoji-only character allowed)
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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Can be either `gradio` or `streamlit`
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See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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Path is relative to the root of the repository.
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sdk: gradio
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app_file: app.py
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pinned: true
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---
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***
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[](https://huggingface.co/spaces/TheStinger/Ilaria_UVR) [](https://huggingface.co/spaces/TheStinger/Ilaria_UVR?duplicate=true) [](https://github.com/TheStingerX/Ilaria-UVR) [](https://discord.gg/aihub) [](https://ko-fi.com/ilariaowo)
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***
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<p align="center">
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<h1>Ilaria RVC 💖</h1>
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</p>
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🎉 Welcome to Ilaria UVR! 🎉
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This project leverages various libraries and modules to create a Graphical User Interface (GUI) for vocals and instrumentals separation.
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It's primarily designed for use with HuggingFace Spaces. 🤗
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Ilaria RVC is part of the Ilaria AI Suite wich includes various easy and powerful tools. 💖
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## 📦 Installation 📦
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To use this project, clone the original Space on Hugging Face.
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Make sure you restart it time to time to keep up with the new updates.
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## 🖥️ Usage 🖥️
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Once the dependencies are installed automatically, Hugging Face will use app.py to start the user interface.
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From there, you can utilize the various features of the project.
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## 🌟 Features 🌟
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Ilaria UVR offers a range of features, including:
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- 🎤 **Audio Separation**:
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The heart of Ilaria UVR is the demucs module, which performs the heavy lifting of separating the vocal and instrumental tracks from an audio file.
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This is done in the inference function, which takes an audio file as input and returns the paths of the separated vocal and instrumental tracks.
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- 🖥️ **User-Friendly Web Interface**:
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The application uses the gradio module to create an intuitive web interface.
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Users can easily upload an audio file, and the application will return the separated vocal and instrumental tracks.
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- 📂 **Efficient File Handling**:
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The application employs the os and scipy.io.wavfile modules for efficient file handling operations.
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It creates a directory for output files if it doesn’t already exist, writes the input audio to a file, and returns the paths of the separated audio files.
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- 🥇 **Voted for Best Quality**:
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This application stands out for its superior quality of audio separation.
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It has been voted by users as the best among other Spaces on Hugging Face for delivering a higher quality of separation between vocal and instrumental tracks, providing a clearer and more distinct output.
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- ⚡ **Fast Processing Speed**:
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Speed is another area where this application shines. It processes audio files faster than other spaces on HuggingFace, allowing users to get their separated tracks in less time.
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## 🙏 Credits 🙏
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- **akhaliq** - For composing the original Gradio UI
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## 🤝 Contributing 🤝
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Interested in contributing to this project? Ilaria is always looking for collaborators.
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Feel free to open a pull request on Hugging Face.
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## 📄 License 📄
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This project is released under the `INCU` license.
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For more details, please check the license file.
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For further questions feel free to contact Ilaria.
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