Technologies

• Python
• Flask - minimalistic server framework for Python
• GraphQL - Query language and API technology
• GUnicorn - WSGI server for production environments
• NLTK - Natural Language processing toolkit

Development

After cloning the repository just navigate into the folder. Assuming that you have installed the newest Python and Pipenv you should be able to execute:

pipenv shell

This creates virtual environment for your application. Then we can install modules with:

pipenv install

For development mode you can run

pipenv run dev

Then for production mode and the use of WSGI server you should run

pipenv run prod

Both applications are run on common port 5000 for Flask applications. Documentation is available at http://localhost:5000/graphiql.

This repository demonstrates the code for the following articles

• https://atheros.ai/blog/how-to-build-graphql-api-for-text-analytics-in-python
• https://atheros.ai/blog/text-classification-with-transformers-in-tensorflow-2