ML-project1

Requirements

1. Github account
2. Heroku accountconda activate
3. VS code IDE
4. GIT cli

Steps

Creating conda virtual environment

conda create -p ml1 python==3.8 -y

conda activate ml1 or conda activate ml1/

pip install -r requirements.txt

Adding files to the git hub

git add <file_name>

OR

git add .

Note: to ignore files/ folders saving to the git by adding names in .gitignorefile

to check git status

git status

to check versions maintined by git

git log

to create versions/ commit all the changes by git

git commit -m "message to display"

to send version/changes to the github

git push origin main

to remote url

git remote -v

Setup CI/CD pipeline

We need 3 information to setup CI/CD in heroku

1. Heroku email = praveen.h119@gmail.com
2. Heroku API_key = 1465a4fb-a6e3-4dd0-8b08-c5aac77209f6
3. Heroku app name = ml1-hello-world

BUILD DOCKER IMAGE

docker build -t <image_name>:<tagname>

Note: Image name for docker must be lowercase

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 f8c749e73678

To check running container in docker

docker ps

To stop docker conatiner

docker stop <container_id>

python setup.py install