Hello @bananenhoschi,
I had the same issues, maybe this can help you :
- The username input field is type=“hidden”, you can remove the ‘type’ attribute by editing the HTML to fill the full form. I think, using the URL
/login?username=xxxx&password=yyyy
is the right thing to do though. - Curl command (when the current directory is the one where is located the model) is working for me. I could send a trained Rasa X model. Maybe a backward compatibility issue ?
- For NLU : Go to NLU training page, click on training data page then on the top right corner, click on the arrow facing up. It doesn’t look like there is a way to import stories yet.
- Can’t help you for that but I can show you the simple Dockerfile I’m using for testing:
# Base image
FROM python:3.6
# Install Rasa-X
RUN pip3 install rasa-x --extra-index-url Simple Index
# Init Rasa
RUN mkdir -p /app/rasa/projects/
WORKDIR /app/rasa/projects/
RUN rasa init --no-prompt
# Expose port
EXPOSE 5002
Then start it with:
$hostOS> docker run -p 5002:5002 -it rasa-local bash
Then start rasa X:
$container> rasa x