README.md

---
title: MedLLaMA2 Medical Chatbot
emoji: 🏥
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
---

# MedLLaMA2 Medical Chatbot 🏥

A medical AI assistant powered by MedLLaMA2 (7B parameters) designed to provide helpful medical information and guidance.

## Features

- **Medical-focused responses**: Trained on medical literature and datasets
- **Safety-first approach**: Always recommends consulting healthcare professionals
- **Optimized for Hugging Face Spaces**: Uses 4-bit quantization for efficient memory usage
- **Interactive chat interface**: Built with Gradio for easy interaction

## Usage

1. Type your medical question or concern in the chat interface
2. Adjust parameters like temperature and max tokens if needed
3. The model will provide informative responses while emphasizing professional medical consultation

## Important Disclaimer

⚠️ **This chatbot is for educational and informational purposes only.** 

- It should NOT be used as a substitute for professional medical advice
- Always consult with qualified healthcare professionals for medical concerns
- In case of medical emergencies, contact emergency services immediately

## Technical Details

- **Model**: MedLLaMA2 7B (or compatible medical language model)
- **Framework**: Transformers, PyTorch
- **Interface**: Gradio ChatInterface
- **Optimization**: 4-bit quantization with BitsAndBytes
- **Hardware**: CPU Basic (16GB RAM)

## Examples

Try asking questions like:
- "What are the symptoms of diabetes?"
- "How can I maintain a healthy heart?"
- "What should I know about blood pressure?"
- "Tell me about the importance of regular exercise."

## Development

This space uses:
- Python 3.10+
- Transformers library for model loading
- Gradio for the web interface
- BitsAndBytes for model quantization

For more information about the underlying technology, see the [Transformers documentation](https://huggingface.co/docs/transformers/index).