A dockerized web app that visualizes the cohesive structure of a text.

Clone the repository to your machine. You should have Docker and Docker Compose installed. Make sure that you have ownership of all files:

sudo chown -R $USER:$USER .

Make sure you got the Germanet files and installed it put it in /code/cohapp/coherenceanalyzer/GN_V90_XML/.

Afterwards, fire up the application:

docker-compose up

Migrate django models:

docker exec -it cohviz_web_1 /bin/bash
python manage.py migrate

Collectstatic files

docker exec -it cohviz_web_1 /bin/bash
python manage.py collectstatic

Install spacy models:

docker exec -it cohviz_web_1 /bin/bash
pip install -U spacy
python -m spacy download en_core_web_sm
python -m spacy download de_core_news_md

Download the nltk dataset inside your docker web container:

docker exec -it cohviz_web_1 /bin/bash
import nltk
nltk.download()

Setup django super user

python manage.py createsuperuser

Run the mongo dp instance

docker exec -it cohviz_web_1 /bin/bash
cd /code/cohapp/coherenceanalyzer/
mongod --dbpath ./mongod &

Your application should be running on localhost:8080.

In order to stop the application run

docker-compose stop

This project is licensed under the MIT License - see the license file for details.