How to produce custom Rasa OSS image and deploy it with rasactl?

Hi, I am still quite new to Rasa and facing one problem. I deployed Rasa X with rasactl tool. I have my Rasa model inside git repository successfully exposed to my Rasa x deployment. I have SpacyNLP as part of my pipeline. The training process gives me an error saying that I did not download the language model. When I go inside a pod and try to do it manually it gives me an error: ERROR: Could not install packages due to an OSError: [Errno 13] Permission denied: '/opt/venv/lib/python3.8/site-packages/pl_core_news_md’ I understand that I have to create custom image of Rasa OSS that contains python environment with that model inside and use within Rasa’s helm chart instalation (How to install pip module into production pod in a kubernetes deployment - #2 by RASADSA). Could you give more detailed steps how to approach this problem or any other possible solution :slight_smile: ? Below my values.file

rasa:
  versions:
    rasaProduction:
      enabled: true
    rasaWorker:
      enabled: true
nginx:
  enabled: false
ingress:
  enabled: true
  hosts:
  - host: <custom hostname>
    paths:
    - /

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