Create model_monitoring.py #36

	name: CI/CD Pipeline

	on:
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	jobs:
	build:
	runs-on: ubuntu-latest

	steps:
	- name: Checkout code
	uses: actions/checkout@v2

	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: "3.8"

	- name: Install dependencies
	run: \|
	pip install -r requirements.txt

	- name: Run Tests
	run: \|
	pytest

	docker_build:
	runs-on: ubuntu-latest
	needs: build

	steps:
	- name: Checkout code
	uses: actions/checkout@v2

	- name: Build Docker image
	run: \|
	docker build -t ai-project-cifar10 .

	- name: Log in to DockerHub
	run: echo "${{ secrets.DOCKER_PASSWORD }}" \| docker login -u "${{ secrets.DOCKER_USERNAME }}" --password-stdin

	- name: Push Docker image
	run: \|
	docker tag ai-project-cifar10 yourdockerhubusername/ai-project-cifar10:latest
	docker push yourdockerhubusername/ai-project-cifar10:latest

	deploy:
	runs-on: ubuntu-latest
	needs: docker_build

	steps:
	- name: Set up Kubernetes
	uses: azure/setup-kubectl@v1

	- name: Deploy to Kubernetes
	run: \|
	kubectl apply -f k8s/deployment.yaml
	kubectl apply -f k8s/service.yaml

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