README.md

metadata

title: CGT-LLM-Beta RAG Chatbot
emoji: 🧬
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false
license: mit

CGT-LLM-Beta: Genetic Counseling RAG Chatbot

A Retrieval-Augmented Generation (RAG) chatbot for genetic counseling and cascade genetic testing questions.

Features

• Evidence-based answers from medical literature
• Multiple education levels: Middle School, High School, College, and Doctoral
• Source document citations with full chunk text
• Similarity scoring for transparency
• Flesch-Kincaid readability scores for all answers
• Multiple LLM models to choose from
• 100+ example questions for testing

How to Use

1. Select a model from the dropdown (default: Llama-3.2-3B-Instruct)
2. Choose your education level for personalized answers
3. Enter your question or select from example questions
4. View the answer with readability score, sources, and similarity scores

Education Levels

• Middle School: Simplified version for ages 12-14
• High School: Simplified version for ages 15-18
• College: Professional version for undergraduate level
• Doctoral: Advanced version for medical professionals

Models Available

• Llama-3.2-3B-Instruct
• Mistral-7B-Instruct-v0.2
• Llama-4-Scout-17B-16E-Instruct
• MediPhi-Instruct
• MediPhi
• Phi-4-reasoning

Important Notes

⚠️ This chatbot provides informational answers based on medical literature. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult with qualified healthcare providers for medical decisions.

Technical Details

• Vector Database: ChromaDB with sentence-transformers embeddings
• RAG System: Retrieval-Augmented Generation with semantic search
• Source Attribution: Full document tracking with chunk-level citations