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Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.

Shell 0.31% Python 96.15% HTML 0.04% JavaScript 0.12% CSS 0.12% Dockerfile 0.01% Procfile 0.01% C 0.09% Roff 0.92% Cython 2.24%

streamstem's Introduction

StemStream

Extract the "stems" (e.g. drums, vocals, bass) from any song on Spotify or Youtube into separate audio files

Introduction

This is a Flask web app using the following resources:

Demucs ML model: Demucs is an music source separation model that creates the stems
yt-dlp: Extracts the audio from the YouTube videos before passing them into demucs.
Spotify API & Youtube Data API for URL conversion

Screenshot

Installation

Install Python
Clone the repository: Open a terminal and clone the repository using the following command:
```
git clone https://github.com/otonomee/youtube-ai-stem-separator.git
```
Install dependencies: Navigate to the project directory and install the required dependencies by running the following command:
```
pip install -r requirements.txt
```
Run the web app: Start the web app by running the following command:
```
python main.py
```
Or Mac
```
sudo python3 main.py
```
Access the web app: Open your web browser and go to http://127.0.0.1:5000 to access the web app.

Usage

Enter the YouTube video URL: On the web app's homepage, enter the URL of the YouTube video you want to convert the audio from.
Select the number of stems you'd like:
- 2 stems: vocals and instrumental
- 4 stems: vocals, drums, bass, other
- 6 stems: vocals, drums, bass, guitar, piano, other
Select desired output format
Hit Submit and wait a few minutes. Download prompt will appear when finished :)

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