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Add deployment to llm-complete #75

Add deployment to llm-complete

Add deployment to llm-complete #75

name: Staging Trigger LLM-COMPLETE
on:
pull_request:
types: [opened, synchronize]
branches: [staging, main]
concurrency:
# New commit on branch cancels running workflows of the same branch
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
run-staging-workflow:
runs-on: ubuntu-latest
env:
ZENML_STORE_URL: ${{ secrets.ZENML_PROJECTS_HOST }}
ZENML_STORE_API_KEY: ${{ secrets.ZENML_PROJECTS_API_KEY }}
ZENML_STAGING_STACK : 67166d73-a44e-42f9-b67f-011e9afab9b5 # Set this to your staging stack ID
ZENML_GITHUB_SHA: ${{ github.event.pull_request.head.sha }}
ZENML_GITHUB_URL_PR: ${{ github.event.pull_request._links.html.href }}
ZENML_DEBUG: true
ZENML_ANALYTICS_OPT_IN: false
ZENML_LOGGING_VERBOSITY: INFO
ZENML_PROJECT_SECRET_NAME: llm-complete
ZENML_DISABLE_CLIENT_SERVER_MISMATCH_WARNING: True
steps:
- name: Check out repository code
uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install requirements
working-directory: ./llm-complete-guide
run: |
pip3 install uv
uv pip install -r requirements.txt --system
uv pip install -r requirements-argilla.txt --system
zenml integration install aws s3 -y --uv
- name: Connect to ZenML server
working-directory: ./llm-complete-guide
run: |
zenml init
- name: Set stack (Staging)
working-directory: ./llm-complete-guide
run: |
zenml stack set ${{ env.ZENML_STAGING_STACK }}
- name: Run pipeline (Staging)
working-directory: ./llm-complete-guide
run: |
python gh_action_rag.py --no-cache --config staging/rag.yaml --zenml-model-version staging