File size: 2,374 Bytes
4028c58 ceea46c 4028c58 ceea46c 4028c58 ceea46c 4028c58 ceea46c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | ---
title: Healthcare Guidelines RAG Chatbot
emoji: 📄
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: apache-2.0
---
# Healthcare Guidelines RAG Chatbot
This application provides a Retrieval-Augmented Generation (RAG) system for healthcare clinical guidelines. It uses FAISS for efficient similarity search and a Hugging Face model for generating responses.
## Features
- PDF document processing and chunking
- FAISS-based semantic search
- Response generation using FLAN-T5
- Gradio web interface
- Strict grounding in provided guidelines
- Safety measures and disclaimers
## Setup
### Option 1: Local Setup
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Place your clinical guidelines PDF in the directory:
```
# Copy your PDF to clinical_guidelines.pdf
```
1. Build the Docker image:
```bash
docker build -t healthcare-rag-chatbot .
```
2. Run the container:
```bash
docker run -p 7860:7860 -v $(pwd)/data:/app/data healthcare-rag-chatbot
```
The `-v` flag mounts your local `data` directory to the container, allowing you to easily update the clinical guidelines PDF without rebuilding the image.
## Usage
1. Run the application:
```bash
# If using local setup:
python app.py
# If using Docker:
# The application will start automatically when running the container
```
2. Open your browser and navigate to the provided local URL (typically http://127.0.0.1:7860)
3. Enter your question about clinical guidelines in the input box
## Important Notes
- The system will only provide information that is explicitly stated in the provided guidelines
- All responses include a medical disclaimer
- The system will respond with "This information is not available in the current guidelines" when uncertain
## Deployment
To deploy on Hugging Face Spaces:
1. Create a new Space on Hugging Face
2. Connect your GitHub repository
3. Select Gradio as the SDK
4. The app will automatically deploy
## Safety Measures
- All responses are strictly grounded in the provided guidelines
- A medical disclaimer is included with every response
- The system explicitly states when information is not available
- No medical advice is provided without proper context
## License
This project is for educational purposes only. Always consult healthcare professionals for medical advice. |