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ML_Deployment

contains workflow for creating ML model CI/CD Deployment using Git Actions, AWS Code Commit & App Runner

To create Virtual Environment:

1. python3 -m pip install virtualenv --> incase virtualenv package not available then install it
2. virtualenv ~/.venv --> create hidden virtualenv venv
3. source ~/.venv/bin/activate --> activate virtualenv
4. vim ~/.venv/bin/activate
5. vim ~/.bashrc --> shift+g --> source ~/.venv/bin/activate --> permenantly adding virtualenv to bash
6. deactivate --> to deactivate virtualenv

To Authorize AWS cloud Shell to connect with this Github Repo:

1. can clone through https -> but need to specify username & pwd, else we can opt for ssh
2. ssh-keygen --> press enter for default filename & passphrase to generate ssh key
3. note: id_rsa file generated and location where saved will be displayed
4. cat /home/cloudshell-user/.ssh/id_rsa.pub --> to see the rsa token
5. go back to github account --> settings --> SSH & GPG keys --> New ssh key --> save the ssh