This repository contains the code to run the website for our application Twitter Time Machine, as well as the code to generate the data. See data_scripts folder for details on how to generate the data used in this application.

This application was created as part of our semester project at EPFL with LSIR.

• Prepare the data as specified in the data_scripts folder.

• Replace TWITTER_BEARER_TOKEN inside docker-compose.yml with your own Twitter bearer token.

• Run the stack with:

  docker-compose up -d

Developed by Thomas Ibanez & Alexandre Hutter.

This is free software licensed under the General Public License, version 3.0.