This marks the very first alpha release of AudioMuse AI! We're excited to share our initial progress on intelligent music analysis and automated playlist generation for Jellyfin.
Key features in this alpha include:
- Core Track Analysis: Utilizes Essentia for deep audio feature extraction.
- Intelligent Clustering: Groups similar tracks based on their analyzed features to form potential playlist candidates.
- Basic Jellyfin Playlist Sync: Functionality to create and update playlists in your Jellyfin library based on the generated clusters.
- Web UI: A basic frontend to trigger analysis and view task status.
Important Notes (Alpha Disclaimer):
As an alpha release, this version is highly experimental and intended for early testing and feedback only. You should expect:
- Instability: Bugs, crashes, or unexpected behavior are likely.
- Incomplete Features: Not all planned features are present.
- Breaking Changes: Future versions may introduce changes that are not backward-compatible.
- Resource Usage: Performance and resource consumption are not yet optimized.
We value your feedback! If you encounter any issues, have suggestions, or just want to share your experience, please open an issue on our GitHub repository. Your input is crucial as we develop AudioMuse AI.