tr_news_cat/README.md

Turkish Text Categorization

This is meant to serve as an example of how to structure and work on your ML projects, and deploy the resultant models.

The dataset I have chosen can be found on Kaggle.

• The python packages can be installed via the requirements.txt file (in a venv), or using Poetry (preferred way).
• To get the models and data files, you'll also need DVC. Just run dvc pull in this repo to get the data/artifacts.

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Docker

• The docker images can be built easily using the docker-build.sh file (you can change the tag name if you want).
• Then run the image simply using docker run -d -p (your host machine port):8080 newscat (or the other name)
• The port on docker can be configured using the env variable port.

Examples:

docker run -d -p 8085:8080 newscat

docker run -it -p 8085:8081 --env PORT=8081 newscat