@erohmensing I followed your advise after adding a pre-trained sentiment analyzer (nltk) as a custom component. It is mounted to the containers and trained, but now the interactive learning does not react, predicts no intent and loads forever. When using the share feature to test the model the user’s messages are not even shown. Locally everything works fine.
EDIT: It seems like it has to do with the requirements of the component. I want to use the vader lexicon, which requires me to run a command nltk.download('vader_lexicon)'. How can I add the requirements to the rasa containers? I can pip install by accessing the containers, but having to do this every time I recompose is not fun. Also there is still no way to download the lexicon into the containers.