API for Machine Learning

swagger docs

http://127.0.0.1:5050/apidocs/

http://127.0.0.1:8000/apidocs/

create image

docker build -t python-ml-docker . -f Dockerfile

docker build -t python-ml-docker-prod . -f Dockerfile.prod

remove image

docker image rm python-ml-docker

docker image rm python-ml-docker-prod

start container

docker run -p 5050:5050 python-ml-docker

docker run -p 8000:8000 python-ml-docker-prod

create and run

docker build -t python-ml-docker . -f Dockerfile && docker run -p 5050:5050 python-ml-docker

docker build -t python-ml-docker-prod . -f Dockerfile.prod && docker run -p 8000:8000 python-ml-docker-prod

debug

docker ps

docker exec -it <CONTAINER ID> bash

ls

cd /etc/mod_wsgi-express-80

vim error_log

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Credits - developed based on Udemy Course:

Deploying AI & Machine Learning Models for Business | Python: Learn to build Machine Learning, Deep Learning & NLP Models & Deploy them with Docker Containers (DevOps) (in Python) Authors: UNP United Network of Professionals Link: https://www.udemy.com/course/deploy-data-science-nlp-models-with-docker-containers/