CI-CD-Pipeline

• CI/CD Pipeline for Flask ML Deploy
• Generate SSH keys and connect your Azure environment with your Github account.
• ssh-keygen -t rsa
• Clone the repo using Azure cloud, and git commands
• Create the python virtual environment and activate it my repo. Execute make all command to install all dependencies.
• python3 -m venv ~/.CI-CD-Pipeline source ~/.CI-CD-Pipeline/bin/activate

• Make a new project in Microsoft Azure, define organization and connect to Github repo.
• Create environment variable and activate it using python3.
• Run python app and test the make_prediction.sh script if it works
• Run the webapp with your app name (FlaskML2022) and check its log trails

• Verify the respective pipelines in Azure pipelines and check build and deployment jobs

• In make_predict_azure_app.sh, change post X to the value of your own webapp that was created earlier.

• Verify the make_predict_azure_app.sh again with your app URL

Demo Video

Video demonstration here