# HealsHealthAI: AI-Powered Wellness Advisor



Welcome to HealsHealthAI, an AI-powered wellness advisor that provides personalized healthcare insights using the power of Natural Language Processing (NLP) and open-source data. This repository contains the source code and resources for the HealsHealthAI project.

## Overview

HealsHealthAI is designed to offer users personalized healthcare information, focusing on topics like yoga, natural remedies, and holistic wellness. The project leverages the capabilities of fine-tuned Large Language Models (LLMs) to generate human-like responses and engage users in meaningful conversations about their health-related inquiries.

## Features

- AI-Powered Conversations: Engage in informative and natural conversations with the HealsHealthAI to get personalized healthcare insights.
- Open-Source Dataset: The project is built on a dataset sourced from Project Gutenberg, offering a foundation for comprehensive health-related information.
- User Customization: Integrate your own health-related documents into the system, allowing HealsHealthAI to provide insights based on your unique information.
- Transparent AI: HealsHealthAI focuses on transparency and explainability, ensuring that the AI-generated responses are understandable and informative.

## Getting Started for deploying locally:

1. git lfs install
2. git clone 'https://huggingface.co/spaces/lavanjv/HealsHealthAI
3. Download 'llama-2-7b-chat.ggmlv3.q8_0.bin' from https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
4. Install the required dependencies: `pip install -r requirements.txt`
5. Run the Streamlit app: `streamlit run app.py -w`
6. Interact with HealsHealthAI through the provided UI and explore its capabilities.

## For fine tunning using custom pdf:
1. Place the pdf files in data folder
2. Run 'python ingest.py'
3. Then run `streamlit run app.py -w`

## Contributing

We welcome contributions to enhance and expand HealsHealthAI' knowledge base. If you have health-related documents or insights, feel free to contribute by submitting a pull request.

## License

This project is licensed under the [MIT License](LICENSE).

## Contact

For questions or inquiries, please contact [jvlavan01@gmail.com](mailto:jvlavan01@gmail.com).
Created with Love by Lavan