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Snapify

The idea of project is to explore the music in an innovative way by creating a recommender system which can play the song depending upon your mood or surroundings captured in the input snap. I worked on this with my team-mates during Spotify Hackathon 2018. We integrated google cloud's vision api with couple of Spotify's api to build this.

Flask / Python Spotify Sample

Click "Show" in the header to see your app live. Updates to your code will instantly deploy and update live.

Getting Started

  1. Get a client ID and secret from the Spotify for Developers Dashboard.
  2. Remix this project by editing it or by selecting the remix option in the top left dropdown menu.
  3. Paste your Client ID and Secret into the .env file.
  4. Click Show Live!

About the Project

On the back-end,

  • your app starts at server.py
  • add frameworks and packages in requirements.txt
  • safely store app secrets in .env

On the front-end,

  • edit client.js, style.css and index.html
  • drag in assets, like images or music, to add them to your project

Remixed from 'flask-hello-world' by Kenneth Reitz

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