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1.7 KiB
1.7 KiB
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
- 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
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
- Activate the virtual environment from the command line.
# activate.fish if you're using fish shell
source bin/activate
cd
into the repository root directory and install all dependencies usingpip
.
cd spotify-lib-vis
pip install -r requirements.txt
- 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.