GitHub Actions for MLOps

GitHub Actions can be used to automate the ML pipeline execution every time a pull request is merged to a specific branch, which helps to ensure that the code is consistent and tested before deployment. This can be achieved by creating a GitHub Actions workflow that triggers the ML pipeline execution on every pull request merge. For example, the following YAML code can be used to create a GitHub Actions workflow:

name: ML Pipeline
on:
  pull_request:
    branches:
      - main
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
      - name: Run ML pipeline
        run: |
          # Run ML pipeline commands here

This workflow will trigger the ML pipeline execution every time a pull request is merged to the main branch.

Deploying ML Models with GitHub Actions.

GitHub Actions can be used to deploy a Hugging Face Spaces application, which involves creating a GitHub Actions workflow that pushes the model to Hugging Face Spaces. This can be achieved by creating a GitHub Actions workflow that uses the Hugging Face API to push the model to Hugging Face Spaces. For example, the following Python code can be used to push a model to Hugging Face Spaces:

import os
import requests

# Set Hugging Face API token
token = os.environ['HUGGING_FACE_TOKEN']

# Set model name and path
model_name = 'my-model'
model_path = 'path/to/model'

# Push model to Hugging Face Spaces
response = requests.post(
    f'https://huggingface.co/{model_name}/push',
    headers={'Authorization': f'Bearer {token}'},
    data={'model': model_path}
)

if response.status_code == 200:
    print('Model pushed successfully')
else:
    print('Error pushing model')

Using GitHub Container Registry

GitHub Container Registry can push a built container and automate the deployment of ML models. This involves creating a GitHub Actions workflow that builds the container and pushes it to the GitHub Container Registry. For example, the following YAML code can be used to create a GitHub Actions workflow:

name: Build and Push Container
on:
  push:
    branches:
      - main
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
      - name: Build container
        run: |
          # Build container commands here
      - name: Push container to GitHub Container Registry
        uses: docker/login-action@v1
        with:
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - name: Push container
        uses: docker/build-push-action@v2
        with:
          context: .
          push: true
          tags: ${{ github.actor }}/${{ github.event.repository.name }}

I write to remember, and if, in the process, I can help someone learn about Containers, Orchestration (Docker Compose, Kubernetes), GitOps, DevSecOps, VR/AR, Architecture, and Data Management, that is just icing on the cake.