Spotify playlist generator using sentiment analysis on personal journal/diary entry data. Requires Spotify Premium to use; I've hidden my user credentials in but if you'd like to run this project, download the below dependencies and visit https://developer.spotify.com/ to generate your personal tokens. See the "Example" section below for a demonstration.

• Spotipy
  • Access Spotify API for user history and playlist generation.
• NLTK
  • Valence Aware Dictionary and sEntiment Reasoner (VADER) for sentiment analysis of user text entry.
• Pandas
  • Storage of scraped song data and Boolean indexing for quick recall.

• sentiment.py
  • Evaluates the sentiment of a given body of text.
• spotify_scraper.py
  • Scrapes Spotify API for song information and contains details in a pd.DataFrame.
• audio_thera.py
  • main() function that runs scripts developed in the other .py files.
• secrets.py (.gitignore)
  • Contains user credentials including username, scope, client_id, client_secret, and redirect_uri for the app.

TODO: Add screen recording of script in action (include arg from command line, Spotify API auth, and resulting playlist)

• Host application on Flask or Django.
• Create SQLite database to store sentiment analysis results / recommended songs.
• Improve method of analyzing song sentiment through Spotify's metrics.

TODO: Add MIT license data here.