From a Youtube video to a Spotify Playlist

Generate Tracklists from DJ sets/mixes

This project allows you to generate a Spotify playlist from a YouTube DJ set. It splits the audio into segments, and leverages the Shazam API to identify songs in the DJ set and the Spotify API to create a playlist with the identified tracks. It's not flawless and often hallucinates, especially when DJs mix songs heavily or play unreleased music.

Features

• Download Audio: Downloads audio from a YouTube video.
• Analyze Audio: Splits the audio into segments and uses Shazam to identify tracks.
• Generate Playlist: Creates a Spotify playlist with the identified tracks.

Practical Limitations: These categories are often mis-recognized / create hallucinations

• Live Performance
• Heavily mixed/altered songs: DJs often use filters, FX, Pitch Modulation, Tempo stretch, transitions, etc.
• Quickly changing tracks: DJs often quickly swap between different tracks (ex. on the drop)
• Unreleased music (random similar song will often be added)
• Other hallucinations: Shazam isn't perfect and it will get some songs wrong. Limitations here will be like the limitations of Shazam. If Shazam can't find it, this can't either.

Technical Limitations

• Very unoptimized in this state

Installation

1. Clone the repository:

   git clone https://github.com/hakonhk/YouTube-To-Spotify-Playlist.git
   cd YouTube-To-Spotify-Playlist

2. Install the required Python packages:

   pip install -r requirements.txt

3. Create a .env file in the root directory and add your Spotify API credentials:

   SPOTIPY_CLIENT_ID=your_spotify_client_id
   SPOTIPY_CLIENT_SECRET=your_spotify_client_secret

Usage

1. Run the Flask app:

   python run.py

2. Open your browser and go to http://localhost:5000.

3. Enter the YouTube URL of the DJ set and click "Analyze and make playlist".

4. The app will:

   • Download the audio from the YouTube video.
   • Segment the audio into processable sizes.
   • Analyze the audio to identify tracks using Shazam.
   • Create a Spotify playlist with the identified tracks.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Create a new Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

• Spotipy
• Shazamio
• yt-dlp

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Feel free to open an issue if you have any questions or run into any problems!