Increase retraining epochs #19

	name: Deploy to [staging/prod]
	on:
	push:
	tags:
	- staging
	- prod
	jobs:
	deploy:
	runs-on: ubuntu-latest
	permissions:
	id-token: write
	contents: read
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python 3.7
	uses: actions/setup-python@v4
	with:
	python-version: 3.7

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

	- name: Login to [staging] account
	if: startsWith(github.ref, 'refs/tags/staging')
	uses: aws-actions/configure-aws-credentials@v2
	with:
	aws-region: eu-west-3
	role-to-assume: arn:aws:iam::381667332649:role/381667332649-github-full-access

	- name: Login to [prod] account
	if: startsWith(github.ref, 'refs/tags/prod')
	uses: aws-actions/configure-aws-credentials@v2
	with:
	aws-region: eu-west-3
	role-to-assume: arn:aws:iam::343975642840:role/343975642840-github-full-access

	- name: Build all resources with terraform
	working-directory: ./terraform/main
	run: \|
	TAG_NAME=${{ github.ref }}
	ENV_NAME=${TAG_NAME#refs/tags/} # Remove the 'refs/tags/' prefix
	terraform init
	terraform workspace select "$ENV_NAME"
	terraform apply -auto-approve --var-file environment/"$ENV_NAME".tfvars

	- name: Upload training data to S3 bucket
	working-directory: ./training_pipeline
	run: python upload_dataset.py

	- name: Create training pipeline
	working-directory: ./training_pipeline
	run: python training_pipeline.py --action create

	- name: Run training pipeline (only in prod)
	if: startsWith(github.ref, 'refs/tags/prod')
	working-directory: ./training_pipeline
	run: python training_pipeline.py --action run

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