https://www.python.org/downloads/

https://www.anaconda.com/distribution/

External libraries in this project are managed with conda.

Run

conda env create -f environment.yml

Refer to the documentation if needed:

https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-from-an-environment-yml-file

You might have to set your IDE project settings to the new conda environment.

Run

jupyter notebook

and open (and/or run) the notebook 'setup.ipynb'.

The service uses FastAPI to provide an API.

Run

uvicorn main:app --reload

Afterwards, you can make an API call on localhost, i.e. using Postman:

https://www.postman.com/downloads/

GET /categorization ["Text1", "Text2", "Text3"] returns a list of keyword lists for each text.

Beware that the very first API call may take a little longer to process due to some initializations happening in the background. Calls made after the initial call should be considerably faster.