Update README.md

Description added.

README.md

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 license: apache-2.0
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+Created as part of the 2023 KREW Hackathon: https://pseudo-lab.github.io/huggingface-hackathon23/en/
+
+DRAFT IN PROGRESS
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+This program represents a groundbreaking intersection of open-source technology and healthcare, opening up new possibilities for patient care and medical research.
+
+The script you're looking at is a powerful tool that leverages the capabilities of Hugging Face's state-of-the-art language models fine-tuned on medical data. 
+It's designed to analyze Electronic Health Records (EHRs), which are digital versions of patients' paper charts. EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users.
+
+By connecting open EHR data systems like OpenEMR with Hugging Face's open-source language models, we can unlock a wealth of insights. 
+OpenEMR is a popular open-source electronic health records and medical practice management solution, and its integration with Hugging Face's models can revolutionize how we understand and use EHR data.
+
+The script begins by loading a pre-trained model and tokenizer from Hugging Face's model hub. 
+The model, pseudolab/K23_MiniMed, has been fine-tuned on medical data, making it capable of understanding and generating text based on patient data.
+We are still working on troubleshooting config issues with the k23_Minimed model, which currently prevent use-ability here.
+
+The script then sets up a file uploader that allows you to upload a CSV file containing patient data. 
+This data is then prepared for the model: it's converted into a string, tokenized, and truncated if necessary.
+
+The implications of this are profound. 
+With this tool, healthcare providers can quickly analyze patient data, identify patterns, and make informed decisions.
+Researchers can study large volumes of data and uncover insights that could lead to new treatments or improved patient care. 
+And because it's all built on open-source technology, the tool is accessible to anyone and can be continually improved by the community.
+This is an act of open Mutual Aid in the medical sector!
+
+In short, this script is more than just a piece of code.
+It's a step towards a future where open-source technology and healthcare go hand in hand, leading to better outcomes for patients and exciting advancements in medical research.
+
+Welcoming open collaboration.