Dockerizing APIs
To save time during production and ease the deployment process, it is essential to use Docker. It is very important to isolate your service and application. Also, note that the same code can be run anywhere, regardless of the underlying operating system (OS). To achieve this, Docker provides great functionality and packaging. Before using it, you must install it using the steps recommended in the Docker documentation (https://docs.docker.com/get-docker/):
- First, put the 
main.pyfile in theappdirectory. - Next, you must eliminate the last part of your code by specifying the following:
if __name__ == '__main__': uvicorn.run('main:app', workers=1) - The next step is to make a Dockerfile for your 
FastAPIservice; you made this previously. To do so, you must create a Dockerfile that contains the following content:FROM python:3.7 RUN pip install torch RUN pip install fastapi uvicorn transformers EXPOSE 80 COPY ./app...