Graphs and tables for your Spotify account.
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Kevin Mok 96b7a4a98c
Run on server, update dependencies
5 лет назад
api Fix duplicate key bug, set root url to login 5 лет назад
graphs Artist graph improvements 5 лет назад
login Run on server, update dependencies 5 лет назад
scripts Run on server, update dependencies 5 лет назад
spotifyvis Run on server, update dependencies 5 лет назад
static Run on server, update dependencies 5 лет назад
.gitignore Run on server, update dependencies 5 лет назад
LICENSE.md Added GPL license and MVP file 6 лет назад
README.md Run on server, update dependencies 5 лет назад
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requirements.txt Run on server, update dependencies 5 лет назад

README.md

Spotify Data Visualizer

See charts of the artists, genres and features of tracks in your library. Also keep track of your listening history.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Before starting the setup, make sure Python 3 and PostgreSQL is installed on your system.

Installing

  1. Use the pip tool to install virtualenv. See this guide for further details.
pip install --user pipenv
  1. Create a virtual environment.
python3 -m venv /path/to/new/virtual/environment
  1. cd into the directory you just created a virtual environment in, and clone the GitHub repo:
cd /path/to/new/virtual/environment
git clone https://github.com/Kevin-Mok/spotify-lib-vis
  1. Activate the virtual environment from the command line.
# activate.fish if you're using fish shell
source bin/activate
  1. cd into the repository root directory and install all dependencies using pip.
cd spotify-lib-vis
pip install -r requirements.txt
  1. Run reset_db.sh to create the database and start the server.
./scripts/reset_db.sh

Built With

Authors

License

This project is licensed under the GPL License - see the LICENSE.md file for details.