Created a new Ubuntu:22.04 based Python notebook that is S3 mount aware #14

	name: Create and publish a Docker image

	on:
	push:
	workflow_dispatch:

	# Defines two custom environment variables for the workflow.
	# These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
	env:
	REGISTRY: ghcr.io
	IMAGE_NAME: ${{ github.repository }}

	# There is a single job in this workflow.
	# It's configured to run on the latest available version of Ubuntu.
	jobs:
	build-app-images:
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	include:
	- image: 'spacy:latest'
	context: 'python/spacy/'
	- image: 'spacy-gpu:latest'
	context: 'python/spacy/'
	- image: 'cuda-535-notebook'
	context: 'jupyter/python-cuda-535'

	# Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
	permissions:
	contents: read
	packages: write

	steps:
	- name: Checkout
	uses: actions/checkout@v4

	- name: Set up QEMU
	uses: docker/setup-qemu-action@v3

	- name: Set up Docker Buildx
	uses: docker/setup-buildx-action@v3

	- name: Login to Docker Hub
	uses: docker/login-action@v3
	with:
	registry: ${{ env.REGISTRY }}
	username: ${{ github.actor }}
	password: ${{ secrets.GITHUB_TOKEN }}

	- name: Build and push
	uses: docker/build-push-action@v5
	with:
	context: ${{ matrix.context }}
	platforms: linux/amd64,linux/arm64
	push: true
	tags: \|
	ghcr.io/ucrel/${{ matrix.image }}

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