deploy-model #64

	name: Containerize Model in Inference Server
	on:
	repository_dispatch:
	types: "deploy-model"
	# A workflow run is made up of one or more jobs that can run sequentially or in parallel
	jobs:
	build_inference_server:
	# The type of runner that the job will run on
	runs-on: ubuntu-latest
	env:
	WANDB_API_KEY: ${{ secrets.WANDB_API_KEY }}
	# Steps represent a sequence of tasks that will be executed as part of the job
	steps:
	- uses: actions/checkout@v4
	- run: 'echo "payload: ${{ toJson(github.event.client_payload) }}"'
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.12.5'
	cache: 'pip'
	- name: Install Dependencies
	run: pip install -r ./requirements.txt
	- name: Login to W&B
	run: wandb login
	- name: Retrieve Artifacts
	run: python retrieve_artifacts.py
	- name: Containerize the artifact in our inference server
	run: sleep 180s
	shell: bash
	# run: python .github/workflows/retrieve_artifacts.py --registered_model_name "${{ github.event.client_payload.artifact_version_string }}"
	# - name: Containerize the artifact in our inference server
	# uses: docker/build-push-action@v4
	# with:
	# context: ./docker_context
	# file: src/torchserve/Dockerfile
	# push: true
	# tags: ${{ env.GAR_LOCATION }}-docker.pkg.dev/${{ env.PROJECT_ID }}/${{ env.REPOSITORY }}/${{ env.SERVICE }}:${{ github.sha }}

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