This repository contains source code, data, and results for the paper "Simulating Diverse Patient Populations Using Patient Vignettes and Large Language Models", presented at the CL4Health Workshop at LREC-COLING 2024.

• ./data/input: Contains the pre-defined patient vignettes.
• ./data/output: Contains the results of the model predictions, comparing the answers based on each of the three vignettes.

1. Install pdm on your machine.
2. Run pdm install to install the dependencies.
3. Create an account at OpenAI and get an API key.
4. Run pdm run-app to spin-up a local server.

1. Open your browser and navigate to http://localhost:8501.
2. Enter the API key you received from OpenAI.
3. Select one of the two OpenAI models. More details to be found here.
4. Select one of the pre-defined patient vignettes or create your own.
5. Interact with the model.

1. Export dependencies with pdm export -o requirements.txt --without-hashes (Streamlit does currently not support pdm).
2. Build docker image.
3. Run docker container. Server port: 8501.