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| title: HealsHealthAI | |
| emoji: ⚡ | |
| colorFrom: red | |
| colorTo: red | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| # 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 [[email protected]](mailto:[email protected]). | |
| Created with Love by Lavan |