Add possibility to load pretrained embedding models (#461) #124

	name: Build docs from trunk

	on:
	push:
	branches:
	- master

	# we set this not to stuck in a state after clearing s3 folder and before filling it with new files
	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: false

	jobs:
	build-docs:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: "3.10"
	- name: Install Poetry
	uses: snok/install-poetry@v1
	with:
	virtualenvs-create: true
	virtualenvs-in-project: true
	- name: Load cached venv
	id: cached-poetry-dependencies
	uses: actions/cache@v2
	with:
	path: .venv
	key: venv-${{ runner.os }}-docs-${{ hashFiles('**/poetry.lock') }}
	- name: Install dependencies
	if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
	run: \|
	poetry install -E "all docs" -vv
	- name: Install apt docs dependencies
	run: \|
	sudo apt install pandoc
	sudo apt install s3cmd
	- name: Build docs
	run: \|
	cd docs
	poetry run make build-docs
	mv build/html/ ../site
	env:
	CI_COMMIT_SHORT_SHA: ${{ github.sha }}
	WORKFLOW_NAME: ${{ github.workflow }}
	- name: Deploy to s3
	run: \|
	echo "${{ secrets.DOCS_S3CMD_CONFIG }}" > .s3cfg
	s3cmd -c .s3cfg rm -r "s3://docs.etna.ai/latest/"
	s3cmd -c .s3cfg put --recursive --guess-mime-type --no-mime-magic ./site/ "s3://docs.etna.ai/latest/"

Provide feedback