Blissify is a program used to make playlists of songs that sound alike from your MPD track library, à la Spotify radio.
Under the hood, it is an MPD plugin for bliss.
Blissify needs first to analyze your music library, i.e. compute and store a series of features from your songs, extracting the tempo, timbre, loudness, etc.
After that, it is ready to make playlists: play a song to start from, run
blissify playlist 30, and voilà! You have a playlist of 30 songs that
sound like your first track.
Note: you need to have MPD installed to use blissify. Otherwise, you probably want to implement bliss-rs support for the audio player you use.
Use cargo install blissify to install it.
All the commands below read the MPD_HOST and MPD_PORT environment
variables and try to reach MPD using that. You might want to change
it if MPD is listening to somewhere else than 127.0.0.1:6600 (the default).
To analyze your MPD library, use
$ blissify update /path/to/mpd/root
If something goes wrong during the analysis, and the database enters an
unstable state, you can use
$ blissify rescan /path/to/mpd/root
to remove the existing database and rescan all files.
If you want to see if the analysis has been successful, or simply want to see
the current files in, you can use
$ blissify list-db
$ blissify playlist 100
This will add 100 songs similar to the song that is currently playing on MPD, starting with the closest possible.
To make a playlist with a distance metric different than the default one (euclidean distance), which will yield different playlists, run:
$ blissify playlist 30 --distance <distance_name>
distance_name is currently euclidean and cosine. Don't hesitate to
experiment with this parameter if the generated playlists are not to your
linking!
If you are interested about what is happening under the hood, or want to make a similar plug-in for other audio players, see bliss' doc.