MusicRecommendationSystem

TODO: add step by step details

Installation
- install anaconda
- use spyder
Set-up
- install the package librosa the anaconda prompt as '''conda install -c conda-forge librosa'''

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
__pycache__		__pycache__
Juice WRLD - All Girls Are The Same (Dir. by @_ColeBennett_)-h3EJICKwITw.mp4		Juice WRLD - All Girls Are The Same (Dir. by @_ColeBennett_)-h3EJICKwITw.mp4
README.md		README.md
Taylor Swift - Wildest Dreams-IdneKLhsWOQ.mp3		Taylor Swift - Wildest Dreams-IdneKLhsWOQ.mp3
centroid.xlsx		centroid.xlsx
cluster0.csv		cluster0.csv
cluster1.csv		cluster1.csv
cluster2.csv		cluster2.csv
cluster3.csv		cluster3.csv
cluster4.csv		cluster4.csv
cluster5.csv		cluster5.csv
cluster6.csv		cluster6.csv
create_playlist.py		create_playlist.py
data.csv		data.csv
downloadSongFromYoutube.py		downloadSongFromYoutube.py
feature_extraction.py		feature_extraction.py
getallfiles.py		getallfiles.py
gui.py		gui.py
kmeans.py		kmeans.py
music.py		music.py
newsong.py		newsong.py
nextSong.py		nextSong.py
number-of-songs-in-each-cluster.py		number-of-songs-in-each-cluster.py
play music21.py		play music21.py
rohit.txt		rohit.txt
user_history.csv		user_history.csv
userhistory.csv		userhistory.csv
writing_into_file.py		writing_into_file.py
youtube-dl test video ''_ä↭𝕐-BaW_jenozKc.mp4		youtube-dl test video ''_ä↭𝕐-BaW_jenozKc.mp4

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