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Cadence Backend


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DOCS UI

Features (For backend)

  • Details of a user's playlist is received
  • A song from this playlist will be chosen when an alarm is set by the user
  • Depending on the tags given by the user, and the song specifics like acousticness, danceability, instrumentalness etc., a song from the playlist is chosen using machine learning
  • The song is then returned to the user, and an alarm is registered on the phone

Dependencies

  • Docker
  • Python packages (to be installed inside of a docker image)
    • spotipy
    • setuptools-rust
    • snips-nlu
    • fastapi
    • pydantic
    • numpy
    • pandas
    • pyyaml
    • uvicorn
    • xgboost
    • sklearn

Run the API

Install Docker on your system by following the guide given on the official docker website. Once docker has been installed, clone this repository

git clone https://github.com/GDGVIT/cadence-backend.git

Once you've cloned the repository, you can create a docker image using the following command (inside of the repository)

docker build . --tag cadence

Once the image is created, create a container using the following command

docker run -d -p 8000:80 cadence

This will host the API on localhost, port 8000. This can now be port forwarded using software like nginx or apache for it to be available across the internet.

Contributors

Anish Raghavendra

Your Name Here (Insert Your Image Link In Src

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