issues
search
Joseph-233
/
music-recommendation
This project recommends music to users based on their heart beat (bpm)
3
stars
1
forks
source link
Predicting Fetures Based on Heart Rate Using LightGBM Multi-Regression Model. Fetching Songs from Spotify instead of Our Dataset
#21
Closed
juan-yu
closed
6 months ago
juan-yu
commented
6 months ago
IMPORTANT: Run this in console "streamlit run streamlit\app.py"
Train the multiregression model
with light gbm to find the relationship between tempo and other features, then store this
model
into spotify_reco/models/saved_models
When a user inputs heart rate, I load the saved model to predict the other features, then use
https://developer.spotify.com/documentation/web-api/reference/get-recommendations
to fetch 10 songs by the predicted features and the user profile
Showing fetched songs in embed
Let user like or dislike songs like
Tinder
, then save their preference
juan-yu
commented
6 months ago
Seems like the test programs are not found?
IMPORTANT: Run this in console "streamlit run streamlit\app.py"