Deploy ML model to AWS using FastAPI

AWS app: http://wine-ratings.us-east-1.elasticbeanstalk.com/

In this exercise, we will build a fastapi ML application and deploy it with continuous delivery on AWS using AWS using Elastic Beanstalk and Code Pipeline.

ML

To build a ML model, refer the colab notebook under notebooks folder.

FastAPI

To validate the fastapi application locally,

docker build -t wine .
docker run --rm -it -v $(pwd):/app -p 8000:8000 wine

AWS

To deploy the fastapi application on AWS following steps were taken.

1. Create AWS account.

2. Under Elastic Beanstalk, create a environment. Select Docker under Platform section.

3. Zip the contents of repo using command below and upload the file to Application code section. Creating environment takes fair amount of time.

   cd 6-fastapi-ml-aws-serverless
   zip -r -D code.zip .

4. In next step, we will use Code Pipeline for continuous delivery using Github event trigger. Create a pipeline that connects the source code to Elastic beanstalk application.