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A music recommendation application using the spotify API

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Musique

Music Recommendation Made Simple
Deploy to GAE Run Python Tests

About this project

This project is the semester project for CS 346 - Software Engineering at Mount St. Mary's University. The idea behind this project is to put the user at the center of their music recommendation.

Music as a service has increased in popularity in the last decade with the introduction of streaming services. However, music recommendation still highly depends on the user's behavior to generate these recommendations. However, these are often inaccurate, and not as fine-tuned as the user may need. This is where Musique comes into play.

Musique uses the user's input (including genre, dance mode, and song key), along with the user's listening habits to generate music recommendations tailored to the user's taste and style. This puts the user at the for

Project Setup

This project uses a combination of different technologies and programming paradigms to accomplish the goal. Below is a quick layout of the project components
Project Components

Step by Step Setup

Note: This project requires Python 3.8, pip3, and (optionally) the latest venv module to run. See the Python Download Guide (https://wiki.python.org/moin/BeginnersGuide/Download) for instructions on how to install Python

  1. Clone the repository

    $ git clone https://github.com/collinsnji/musique.git
    $ cd musique
  2. Create Virtual Environment and Install project dependencies

    $ # create the virtual environment in ./env
    $ python -m venv env
    
    $ # install project dependencies 
    $ pip install -r requirements.txt
  3. Add API keys

    Note: This project depends on the Spotify and Google Cloud APIs to run
    See: https://cloud.google.com/datastore/docs/quickstart on how to setup a GCP project and obtain the account credentials for Datastore.
    Also See: https://spotipy.readthedocs.io/en/2.19.0/ for instructions on how to obtain a Spotify client ID and a client secret.
    Once the Datastore account credentials are obtained along with the Spotify credentials, create a new file in the project root .env. Copy the contents of .env_template to this file, and update the respective fields.

  4. Run the project

    # start the development server by running the following command
    $ flask run

About the Developer(s)

@collinsnji is the primary Software Engineer and Project Manager for this project

Found a bug?

PRs are always welcomed! If you found a bug, please contact the developer at collins[dot]geek[at]gmail[dot]com Here's how to setup the project

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A music recommendation application using the spotify API

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