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README.md
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license: mit
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#
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Welcome to
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## Overview
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## Features
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- AI-Powered Conversations: Engage in informative and natural conversations with the
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- Open-Source Dataset: The project is built on a dataset sourced from Project Gutenberg, offering a foundation for comprehensive health-related information.
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- User Customization: Integrate your own health-related documents into the system, allowing
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- Transparent AI:
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## Getting Started for deploying locally:
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1. git lfs install
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2. git clone 'https://huggingface.co/spaces/lavanjv/
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3. Download 'llama-2-7b-chat.ggmlv3.q8_0.bin' from https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
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4. Install the required dependencies: `pip install -r requirements.txt`
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5. Run the Streamlit app:
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6. Interact with
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## For fine tunning using custom pdf:
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1. Place the pdf files in data folder
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2. Run 'python ingest.py'
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3. Then run
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## Contributing
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We welcome contributions to enhance and expand
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## License
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## Contact
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For questions or inquiries, please contact [[email protected]](mailto:[email protected]).
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Created with Love by Lavan
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title: HealsHealthAI
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license: mit
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# HealsHealthAI: AI-Powered Wellness Advisor
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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.
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## Overview
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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.
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## Features
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- AI-Powered Conversations: Engage in informative and natural conversations with the HealsHealthAI to get personalized healthcare insights.
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- Open-Source Dataset: The project is built on a dataset sourced from Project Gutenberg, offering a foundation for comprehensive health-related information.
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- User Customization: Integrate your own health-related documents into the system, allowing HealsHealthAI to provide insights based on your unique information.
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- Transparent AI: HealsHealthAI focuses on transparency and explainability, ensuring that the AI-generated responses are understandable and informative.
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## Getting Started for deploying locally:
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1. git lfs install
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2. git clone 'https://huggingface.co/spaces/lavanjv/HealsHealthAI'
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3. Download 'llama-2-7b-chat.ggmlv3.q8_0.bin' from https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/tree/main
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4. Install the required dependencies: `pip install -r requirements.txt`
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5. Run the Streamlit app: 'streamlit run app.py -w'
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6. Interact with HealsHealthAI through the provided UI and explore its capabilities.
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## For fine tunning using custom pdf:
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1. Place the pdf files in data folder
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2. Run 'python ingest.py'
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3. Then run 'streamlit run app.py -w'
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## Contributing
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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.
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## License
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## Contact
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For questions or inquiries, please contact [[email protected]](mailto:[email protected]).
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Created with Love by Lavan
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