Doc Request: Add instructions for using the JupyterLab community add-on to run the PyScript kernel

[rct]

The instructions in this issue over in the PyScript repo cover installing the PyScript kernel in the Home Assistant Community Add-On for JupyterLab.

This might be the easiest way for most people (using Home Assistant OS) to get the kernel running. As mentioned by the author of that issue @chancancode, the advantages are:

• Don't need to have a local install of Jupyter and Python on desktop/laptop.
• The kernel can be installed/made to run by pasting some YAML into the add-on's config.
• Home Assistant's supervisor/add-on infrastructure takes care of the access token, IP address, etc.

One advantage/caveat is that It runs on the Home Assistant server, so likely a minimum of a 4GB RAM is needed for Home Assistant plus add-ons.

I haven't done extensive testing but I haven't come across any issues that don't come up for other environments.

Here's the YAML I'm using in the add-on's configuration:

github_access_token: ""
system_packages: []
init_commands:
  - pip install hass_pyscript_kernel
  - jupyter pyscript install
  - >-
    echo "[homeassistant]" >
    /usr/local/share/jupyter/kernels/pyscript/pyscript.conf
  - >-
    echo "hass_host = homeassistant" >>
    /usr/local/share/jupyter/kernels/pyscript/pyscript.conf
  - >-
    echo "hass_url = http://supervisor/core/" >>
    /usr/local/share/jupyter/kernels/pyscript/pyscript.conf
  - >-
    echo "hass_token = $SUPERVISOR_TOKEN" >>
    /usr/local/share/jupyter/kernels/pyscript/pyscript.conf
  - mkdir -p /config/notebooks/pyscript
  - ln -sf /config/pyscript /config/notebooks/pyscript/config-pyscript
  - >-
    curl
    https://raw.githubusercontent.com/craigbarratt/hass-pyscript-jupyter/master/pyscript_tutorial.ipynb
    -o /config/notebooks/pyscript/pyscript_tutorial.ipynb

[gaitskell]

@jct Thank you for posting this YAML code for the pyscript setup to allow its use with the local JupyterLab server. Could you possibly clarify exactly where the above YAML code needs to be added and with what headings?

Could you also add a suggested few simple lines in a new Jupyter Python notebook that one should run to make sure that the link is working?