use micromamba so that PyTorch doesn't install CUDA #12

	name: deploy-book

	on:
	# Trigger the workflow on push to main branch
	push:
	branches:
	- main

	env:
	BASE_URL: /${{ github.event.repository.name }}

	# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
	# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
	concurrency:
	group: "pages"
	cancel-in-progress: false

	jobs:
	deploy-book:
	runs-on: ubuntu-latest

	# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
	permissions:
	pages: write
	id-token: write

	# Required for micromamba to activate
	defaults:
	run:
	shell: "bash -l {0}"

	steps:
	- uses: actions/checkout@v3

	# Install dependencies
	- name: Set up Python via Micromamba
	uses: mamba-org/setup-micromamba@v2
	with:
	environment-file: environment.yml
	init-shell: bash
	cache-environment: true
	post-cleanup: "all"

	# Build the book
	- name: Build the book
	run: \|
	jupyter-book build -W deep-learning-intro-for-hep

	# Upload the book's HTML as an artifact
	- name: Upload artifact
	uses: actions/upload-pages-artifact@v2
	with:
	path: "deep-learning-intro-for-hep/_build/html"

	# Deploy the book's HTML to GitHub Pages
	- name: Deploy to GitHub Pages
	id: deployment
	uses: actions/deploy-pages@v2

Provide feedback