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synthetic-patients/docker
docker is a machine learning model from synthetic-patients. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jan 21, 2025
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From the Hugging Face model README
To experiment with the realtime video chat application, you will need to run it locally. We have provided a docker container with the requirements. You will need: API keys for OpenAI and ElevenLabs to run this program; you will be prompted to provide them. You will need an account to both of these services to get the keys and will be charged for usage. These keys will only be stored within your instance of docker and will not be shared.
To begin, make sure that you have Docker installed. Then, from your command-line, run:
docker pull syntheticpatients/base
This will take a significant amount of time to download, as it currently is around 8GB. Once this has been completed, you can run the script by executing the following in your terminal:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/synthetic-patients/install/main/run.sh)"
This will launch the synthetic patient server using your OpenAI and ElevenLabs API. Once the server has completed launching, direct your browser to http://localhost:5000/client to begin interacting.
@misc{chu2024syntheticpatientssimulatingdifficult,
title={Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education},
author={Simon N. Chu and Alex J. Goodell},
year={2024},
eprint={2405.19941},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2405.19941},
}