Dockerized quick start guide

[julie-scherer]

About: Docker containerized version of Python example app from the OpenAI API quick start tutorial

Summary of changes:

• Packaged the app in a Docker container so the guide could be easily deployed on any system (i.e., created Dockerfile)
• Added Makefile to quickly and easily start up and close down (+ clean up) the app using make up and make down commands
• Updated README instructions on how to run the Docker container using Make commands
• Added app.run() function at the end of app.py script to run the server. I used if __name__=='__main__': to run the server only if the script is executed directly from the Python interpreter.

  if __name__=='__main__':
  app.run(debug=True)

Potential implications:

• Gives others the option to run the app in a Docker container, but it doesn't change or take away the option to run on your local computer, just as you would now
• Easier to run the app in different environments, without having to worry about compatibility issues or waste time debugging
• Consistent and secure runtime environment, protecting the app from potential security vulnerabilities in the host system

[logankilpatrick]

Going to avoid docker for now, but thank you!