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A newer version of the Streamlit SDK is available:
1.40.1
title: Vocal Isolator
emoji: 🗣
colorFrom: white
colorTo: blue
sdk: streamlit
sdk_version: 1.25.0
app_file: app.py
pinned: false
license: openrail
Vocal Remover (for now)
A web-based tool for removing vocals from audio files using deep learning.
Table of Contents
- Overview
- Features
- Installation
- Usage
- Demo
- Technologies Used
- Contributing
- License
- Useful Research Papers
Overview
The Vocal Isolator is a user-friendly web application that leverages deep learning models to isolate vocals from audio files. It provides an easy and interactive way for users to upload their audio files and process them to obtain vocals-free versions.
Features
- Upload audio files in various formats (WAV, MP3, OGG, FLAC).
- Process audio files to remove vocals using a pre-trained deep learning model.
- Display a progress bar during audio processing.
- Play the original and processed audio files in the browser.
- Downloadable WAV file
- Clean and intuitive user interface.
Installation
Clone this repository:
git clone https://github.com/smotto/Sing-For-Me.git cd Sing-For-Me
Install the required Python packages:
pip install -r requirements.txt
Usage
Run the Streamlit app:
streamlit run main.py
Access the app in your web browser at http://localhost:8501.
Demo
For a live demonstration, visit Demo Link.
Technologies Used
- Python
- Streamlit
- PyTorch
- Soundfile and Librosa
Contributing
Contributions are welcome! If you have suggestions, bug reports, or feature requests, please open an issue or submit a pull request.
License
This project is licensed under the Apache 2.0 License.