README.md

metadata

title: Test
emoji: ⚡
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false

🔍 Medical Document Search using sentence-transformers/embeddinggemma-300m-medical

A search tool specialized in the medical field to helps you find relevant information across your medical documents.

How It Works

1. Enter your question in the reference sentence box (e.g., "Is Mr. Allen eligible for enrollment given his type 2 diabetes?")
2. Add documents to search through in the comparison sentence boxes
3. Click "Calculate Similarity" to see ranked results
4. Review the scores:
   • 🟢 Green (≥0.70): High similarity - very relevant
   • 🟠 Orange (0.50-0.69): Medium similarity - somewhat relevant
   • 🟣 Purple (<0.50): Lower similarity - less relevant

Installation

pip install -r requirements.txt

Setup

1. Get a Hugging Face API token from huggingface.co/settings/tokens
2. Create a .env file in the project directory:

   HF_TOKEN=your_token_here

3. Run the application:

   python main.py

Notes

Note that for efficiency purposes, a template of the interface code and the css code was generate with an LLM.