Short answer : No, Rasa X should not take that much space, be careful if you uploaded yourself a model because training didn’t work, there seems to be some unending process filling all the space up
(Not so) long answer : problem somewhat solved, the space was getting filled someway because I uploaded a model instead of training one. I had done this to circumvent the lack of spacy model in rasa x, but it seems that the spacy model is also needed to use a model. Therefore, after recreating docker containers, I went inside the rasa-worker and rasa-production containers to manually add the spacy model.
docker exec -u root -it rasa_rasa-worker_1 /bin/bash
/app# python -m spacy download fr_core_news_md
/app# python -m spacy link fr_core_news_md fr
docker exec -u root -it rasa_rasa-production_1 /bin/bash
/app# python -m spacy download fr_core_news_md
/app# python -m spacy link fr_core_news_md fr
Now SpaCy works perfectly, however I have to do the above everytime I recreate the docker containers.