Add example of a sklearn like pipeline (#294) #135

	name: Deploy to gh-pages

	on:
	push:
	branches:
	- main

	jobs:
	publish:
	name: 'Publish'
	runs-on: ubuntu-latest
	# Avoid running this workflow for forks:
	if: "github.repository == 'data-apis/dataframe-api'"
	steps:
	- name: 'Checkout repository'
	uses: actions/checkout@v3

	- name: 'Install Python'
	uses: actions/setup-python@v4
	with:
	python-version: '3.10'

	- name: 'Install dependencies'
	run: pip install -r ./requirements.txt

	- name: 'Build documentation'
	run: \|
	# Turn warnings into errors and ensure .doctrees is not deployed:
	sphinx-build -b html -WT --keep-going spec build/draft -d doctrees

	- name: 'Configure Git'
	run: \|
	git config --local user.email "[email protected]"
	git config --local user.name "dataframe-api-bot"

	- name: 'Checkout gh-pages'
	run: \|
	git fetch --all
	git checkout gh-pages

	- name: 'Copy build artifact'
	run: \|
	rm -rf ./draft && cp -R ./build/draft ./draft

	- name: 'Commit changes'
	continue-on-error: true # needed when diff is empty
	run: \|
	git add . && git commit -m "Deploy: ${{ github.sha }}"

	- name: 'Push changes'
	if: success()
	run: \|
	git push origin gh-pages

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