Stale-CI-CD-Compelete-Deployment-Gradio-Debug #13
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| name: CI-CD-Compelete-Deployment-Gradio-Debug | |
| on: | |
| workflow_dispatch: | |
| jobs: | |
| # build-and-push-ecr-image: | |
| # name: Build and push ECR image | |
| # runs-on: ubuntu-latest | |
| # outputs: | |
| # commit_id: ${{ steps.get_commit_id.outputs.commit_id }} | |
| # steps: | |
| # - name: Checkout Code | |
| # uses: actions/checkout@v3 | |
| # - name: Install Utilities | |
| # run: | | |
| # sudo apt-get update | |
| # sudo apt-get install -y jq unzip | |
| # - name: Configure AWS credentials | |
| # uses: aws-actions/configure-aws-credentials@v1 | |
| # with: | |
| # aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| # aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| # aws-region: ${{ secrets.AWS_REGION }} | |
| # - name: Login to Amazon ECR | |
| # id: login-ecr | |
| # uses: aws-actions/amazon-ecr-login@v1 | |
| # - name: Get latest commit ID | |
| # id: get_commit_id | |
| # run: | | |
| # latest_commit=$(git rev-parse HEAD) | |
| # echo "::set-output name=commit_id::$latest_commit" | |
| # - name: Display the commit ID | |
| # run: | | |
| # echo "Latest commit ID is: ${{ steps.get_commit_id.outputs.commit_id }}" | |
| # - name: Build, tag, and push image to Amazon ECR | |
| # id: build-image | |
| # env: | |
| # ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }} | |
| # ECR_REPOSITORY: ${{ secrets.ECR_REPOSITORY_NAME }} | |
| # IMAGE_TAG: latest | |
| # run: | | |
| # # Build a docker container and | |
| # # push it to ECR so that it can | |
| # # be deployed to ECS. | |
| # docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG . | |
| # docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG | |
| # echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" | |
| launch-runner: | |
| runs-on: ubuntu-latest | |
| # needs: build-and-push-ecr-image | |
| outputs: | |
| commit_id: ${{ steps.get_commit_id_runner.outputs.commit_id }} | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: iterative/setup-cml@v2 | |
| - name: Display the commit ID | |
| run: | | |
| echo "Latest commit ID is: ${{ needs.build-and-push-ecr-image.outputs.commit_id }}" | |
| - name: Get latest commit ID | |
| id: get_commit_id_runner | |
| run: | | |
| echo "::set-output name=commit_id::${{ needs.build-and-push-ecr-image.outputs.commit_id }}" | |
| - name: Deploy runner on AWS EC2 | |
| env: | |
| REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }} | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| run: | | |
| cml runner launch \ | |
| --cloud=aws \ | |
| --name=session-10 \ | |
| --cloud-region=ap-south-1 \ | |
| --cloud-type=g4dn.xlarge \ | |
| --cloud-hdd-size=64 \ | |
| --cloud-spot \ | |
| --single \ | |
| --labels=cml-gpu \ | |
| --idle-timeout=100 \ | |
| --cloud-gpu=nvidia-tesla-t4 | |
| train-and-deploy: | |
| runs-on: [self-hosted, cml-gpu] | |
| needs: launch-runner | |
| outputs: | |
| commit_id: ${{ steps.get_commit_id_ec2.outputs.commit_id }} | |
| timeout-minutes: 20 | |
| container: | |
| image: docker://pytorch/pytorch:2.3.1-cuda11.8-cudnn8-runtime | |
| options: --gpus all | |
| # runs-on: ubuntu-latest | |
| steps: | |
| - name: Verify EC2 Instance | |
| run: | | |
| DEBIAN_FRONTEND=noninteractive apt update && apt upgrade -y && apt install -y curl wget git unzip zip tar lsb-release | |
| curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" | |
| unzip awscliv2.zip | |
| ./aws/install -i ~/aws-cli -b ~/aws-cli/bin | |
| export PATH=/github/home/aws-cli/bin:$PATH | |
| apt-get install -y groff | |
| aws --version | |
| echo "Checking instance information..." | |
| # Check if we're on EC2 | |
| TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600") | |
| curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/instance-type | |
| echo "Checking system resources..." | |
| lscpu | |
| free -h | |
| df -h | |
| nvidia-smi # This will show GPU if available | |
| echo "Checking environment..." | |
| lsb_release -a | |
| env | grep AWS || true | |
| hostname | |
| whoami | |
| pwd | |
| # Install the AWS CLI if not already available | |
| if ! command -v aws &> /dev/null; then | |
| apt-get update | |
| apt-get install -y awscli | |
| fi | |
| curl -fsSL https://get.docker.com -o get-docker.sh | |
| sh get-docker.sh | |
| # Get ECR login command and execute it | |
| $(aws ecr get-login --no-include-email --region ap-south-1) | |
| aws ecr get-login-password --region ap-south-1 | docker login --username AWS --password-stdin 306093656765.dkr.ecr.ap-south-1.amazonaws.com | |
| - name: Install jq | |
| run: | | |
| apt-get update | |
| apt-get install -y jq | |
| # Deployment on Huggingface | |
| - name: Install Gradio | |
| run: | | |
| mkdir gradio_demo | |
| cd gradio_demo/ | |
| touch dummy.txt | |
| apt update | |
| apt install python3-pip -y | |
| apt install wget -y | |
| wget -qO- https://astral.sh/uv/install.sh | sh | |
| export PATH=$PATH:/root/.local/bin | |
| export PATH=$PATH:/github/home/aws-cli/bin/ | |
| export PATH=$PATH:/github/home/.local/bin/ | |
| uv python install 3.12 | |
| uv venv --python 3.12.0 | |
| source .venv/bin/activate | |
| python --version | |
| pip3 install -r requirements.txt | |
| # python3 -m pip install -r requirements.txt | |
| - name: Log in to Hugging Face | |
| run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")' | |
| - name: Deploy to Spaces | |
| run: gradio deploy | |
| # https://cml.dev/doc/self-hosted-runners#gitlab-ciyml | |
| # --cloud-gpu={nogpu,k80,v100,tesla} | |