Written by: Perucy Mussiba Files: web_app.py, ai_mus_rec_sys.py and lyrics_generator.py Purpose: A music recommendation system using the Spotify Million Song Dataset and Spotify API AND a lyrics-retrieving program

ai_mus_rec_sys.py: Libraries: Sklearn, NLTK, Pickle, Pandas The file contains an implementation of the recommendation system that utilizes the library above to retrieve the user's input song search through the database, match the songs and then return the top match songs

web_app.py: Libraries: Spotipy, Streamlit, Pickle The file contains a front-end implementation of a web application using Streamlit that interacts with a user to retrieve the user input song then interact with ai_mus_rec_sys.py to look through the database that returns the top match songs The program gets the top 5 match songs together with their album pictures and displays the content to the user of the recommended songs

lyrics_generator.py: Libraries: Spotipy, re, time, lyricsgenius The file contains an implementation of a program that determines the current song playing on a user's Spotify application and then it utilizes lyricsgenius API to retrieve the lyrics and display the lyrics to the user. This program helps the user with a free Spotify subscription to view the lyrics of any song without limitations