Push the API to Github

Create the requirements.txt file

We have created successfully the API in the previous chapter. Now is the time to push it on GitHub. We are doing this because we will be connecting this repository to Azure App Services for CI/CD.

Before doing that, we need to take one important step. We need to create a requirements.txt file that will contain the dependencies required to run our API. Follow the steps below to create the file:

• Activate your virtual environment.

• Go to your project folder.

• Run the command shown below:

  pip freeze > requirements.txt
  

• It will create a requirements.txt file in your current directory. Your directory structure should look something like this:

  ./text-analytics-api
     |- main.py
     |- utils.py
     |- requirements.txt
  

• Later on we are going to deploy the API on Azure using the same repository, and hence, we need to manually add some packages in the requirements.txt file. You need to add the following text at the end of your requirements.txt file:

  uvloop
  httptools
  gunicorn==20.0.4
  

  • uvloop: It implements all the asyncio event loop APIs. This will only be required if you are deploying on a Linux machine.

  • httptools: It is a Python binding for the nodejs HTTP parser. This will only be required if you are deploying on a Linux machine.

  • gunicorn: Gunicorn ‘Green Unicorn’ is a Python WSGI HTTP Server for UNIX. This will only be required if you are deploying on a Linux machine.

You can verify your requirements.txt file by checking its content as shown below: