Train the model locally

rasa train --debug
rasa run actions&
rasa shell

Deploy on Rasa X

1. Prerequisites

Kubernetes cluster with Helm3

2. Add secret to pull from Docker Registry:

kubectl create secret docker-registry regcred --docker-server=https://index.docker.io/v2/ --docker-username=<username> --docker-password=<password> 

3. Install Rasa X

kubectl create namespace rasa
helm repo add rasa-x https://rasahq.github.io/rasa-x-helm
helm --namespace rasa install --values values.yml --version 1.8.0 rasax rasa-x/rasa-x

4. Add git repository from the Rasa X console, add the provided public key as a Deploy key in te repository.

Note: Rasa X default password is welcome123

References

• Example
• ITA guide
• Rasa X Deploy
• Spacy Italian language
• Deploy with Rasa
• Guide to Rasa form