I had been working on a project using Rasa x local mode that involves a spaCy NLP model. However, when I install Rasa X with Quick-Installation, it failed to synchronize with my working folder, which prompted me to download the missing spaCy model en_core_web_lg that I had already downloaded in my working directory. So I would like to ask:
Is it possible to synchronize my working environment (spaCy, spaCy models) onto Rasa X Kubernetes cluster? If so, how can I do it?
If the above action is not possible, how can I install spaCy and download the nlp models onto the cluster environment so that I can migrate all my work to Kubernetes?
As I am new to the community, I hope you won’t mind if I had asked silly questions! Thank you in advance!
Try doing a custom helm chart deployment as explained at rasa-x documentation and include your own externalClaim or extraVolumes in the values.yml file.
I am sorry I did not read the instructions carefully, I should create my own values.yml. However, I am not sure where I can put my custom packages (such as spaCy and its NLP models). Do you have any idea?