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 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/):

1. First, put the main.py file in the app directory.
2. Next, you must eliminate the last part from your code by specifying the following:

   if __name__ == '__main__':
        uvicorn.run('main:app', workers=1)

3. The next step is to make a Dockerfile for your fastAPI; 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 /app
   CMD ["uvicorn...