Workflow based tutorial for Tensorflow CNN training on MNIST data #2064

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

	name: Interactive API - Tensorflow MNIST

	on:
	pull_request:
	branches: [ develop ]
	types: [opened, synchronize, reopened, ready_for_review]

	permissions:
	contents: read

	jobs:
	build:
	if: github.event.pull_request.draft == false
	runs-on: ubuntu-latest # Add Windows support after https://github.com/keras-team/keras/issues/16308 is merged

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python 3.8
	uses: actions/setup-python@v3
	with:
	python-version: "3.8"
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install .
	- name: Interactive API - tensorflow_mnist
	run: \|
	python setup.py build_grpc
	pip install tensorflow==2.13
	python -m tests.github.interactive_api_director.experiments.tensorflow_mnist.run

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