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
insidedocker-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.