Taranis AI cybersec-classifier Bot

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Pre-requisites

• uv - https://docs.astral.sh/uv/getting-started/installation/
• docker (for building container) - https://docs.docker.com/engine/

Create a python venv and install the necessary packages for the bot to run.

uv venv
source .venv/bin/activate
uv sync --all-extras --dev

Usage

You can run your bot locally with

flask run
# or
granian run

Docker

You can also create a Docker image out of this bot. For this, you first need to build the image with the build_container.sh

You can specify which model the image should be built with the MODEL environment variable. If you omit it, the image will be built with the default model.

MODEL=model_name ./build_container.sh

then you can run it with:

docker run -p 5500:8000 <image-name>:<tag>

If you encounter errors, make sure that port 5500 is not in use by another application.

Test the bot

Once the bot is running, you can send test data to it on which it runs its inference method:

curl -X POST http://127.0.0.1:5500 -H "Content-Type: application/json" -d '{"key": "some data"}'

License

EUROPEAN UNION PUBLIC LICENCE v. 1.2