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.