brentvollebregt / emotionify Goto Github PK

Create emotionally gradiented Spotify playlists and more.

🌐: emotionify.nitratine.net

• Clone the repo
• Execute npm install
• Execute npm start

After following these steps, a new browser tab will open with the locally hosted application in development mode.

1. Create a new app / client id at developer.spotify.com.
2. Copy your client id into /src/config.ts.
3. Click "Edit Settings" in the newly created Spotify developer app and add a redirect URI to where /api/spotify/authentication-callback will be hosted.

Example Sort Visualisation of a Personal Playlist

Example Comparison Visualisation of a Personal Playlists

Example of Applying Filters to Playlists

• Spotify authorization for library access
• Sort a playlist by valence and energy - Sorting on these two values can create a transition from sadder/slower songs to more happy/energetic songs. - Can change the sorting audio features and sorting method - Exports to a new playlist
• Compare playlists - Compare multiple playlists in 1D, 2D or 7D from selected audio features.
• Playlist tools - Add playlists and apply filters and functions to playlists to manipulate song ordering - Exports to a new playlist

All audio features used are pre-computed by Spotify and obtained through their API.

Emotionify is an application I had thought about for a few years after doing a project at university on attempting to detect emotion in music and portraying it in an interactive environment.

I was curious how the method implemented would play out with music I listen to every day and wanted some extra tools for Spotify playlists.

Emotionify is not 100% accurate as emotion is highly opinion based and the values used to sort songs are averages over the whole song. This tool however does give insight on how well a computer can plot an emotional gradient with a list of songs.