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|api||4 years ago|
|graphs||5 years ago|
|login||4 years ago|
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|spotifyvis||4 years ago|
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|LICENSE.md||6 years ago|
|README.md||4 years ago|
|manage.py||5 years ago|
|requirements.txt||4 years ago|
Spotify Data Visualizer
See charts of the artists, genres and features of tracks in your library. Also keep track of your listening history.
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.
Before starting the setup, make sure Python 3 and PostgreSQL is installed on your system.
- Use the pip tool to install
virtualenv. See this guide for further details.
pip install --user pipenv
- Create a virtual environment.
python3 -m venv /path/to/new/virtual/environment
cdinto 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
- Activate the virtual environment from the command line.
# activate.fish if you're using fish shell source bin/activate
cdinto the repository root directory and install all dependencies using
cd spotify-lib-vis pip install -r requirements.txt
reset_db.shto create the database and start the server.
This project is licensed under the GPL License - see the LICENSE.md file for details.