Git Product home page Git Product logo

spotify-recommendations's Introduction

Spotify Song Recommendations

Definition

An app that allows a user to receive recommendations from a playlist of their choosing.

Installation

I am using Python 3.9.1 with this project. Use the package manager pip to install all dependencies. I would recommend using a virtual environment before installing dependencies. Navigate to the main directory (where manage.py is) and run the below command:

pip install -r requirements.txt

Usage

In the same directory, use the below commands to intialise and start the application

python manage.py migrate  # creates and loads database schema
python manage.py runserver  # runs application

Your terminal will then generate a url to paste into your browser where the app is ran.

Use the following steps to use the app:

  1. Click "Login with Spotify", and enter your Spotify credentials
  2. Choose a playlist from the Featured Playlist grid, or copy the Spotify URI from the Playlist detail in the Spotify desktop app
  3. Click "Get recommendations" (keep in mind that if it's the first time you've requested recommendations it will take significantly longer as the model has to be trained)
  4. Click on any of the songs that are generated to be redirected to Spotify's website to give the song a listen!

Demo (click the thumbnail to be redirected)

Watch the video

Analysis

Please refer to the Jupyter notebook for required analysis

Conclusion

Please refer to Jupyter notebook for required conclusion

License

MIT

spotify-recommendations's People

Contributors

brennerswenson avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.