model.py which is an actual API endpoints implementing a Bayesian Personalized Recommender in production from the parameters previously saved while running the model (saved every time the model is run and uploaded to cloud)
Updated notebook for Bayesian Personalized Notebook to include automatic saving of parameters and pushing to database in the Deta Space cloud.
Changing data source of datasets from local to databases deployed. (retrieving using SQL command)
Requirements.txt to deploy to Heroku (must be in the root, please check the issue: https://github.com/Music-Recommendation-Engine-Project/Music-Recommendation-Engine/issues/53 )
Procfile that creates a uvicorn for the API.
model.py which is an actual API endpoints implementing a Bayesian Personalized Recommender in production from the parameters previously saved while running the model (saved every time the model is run and uploaded to cloud)
Updated notebook for Bayesian Personalized Notebook to include automatic saving of parameters and pushing to database in the Deta Space cloud.
Changing data source of datasets from local to databases deployed. (retrieving using SQL command)