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The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.

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Sharukesh3/LLM-for-hydrogen-storage

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LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE

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Overview

Welcome to the LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project! This tool is designed to perform text summarization and question-answering specifically for research papers related to hydrogen storage. By extracting key insights and findings, it helps users quickly comprehend scientific literature in this field.

Features

  • Paper Summarization: Automatically generates concise summaries of hydrogen storage research papers.
  • Key Insights Extraction: Identifies and extracts significant insights and advancements from research papers.
  • Customization Options: Allows users to tailor the summarization process based on specific preferences.
  • Multi-Document Summarization: Summarizes multiple research papers simultaneously for comprehensive information.
  • Question-Answering: Provides answers to user queries based on the content of the research papers.

Soft Requirements

  1. Google Gemini API Key Get your own key at https://aistudio.google.com/app/apikey and paste it in dataset_prep/gemini.py
  2. Pinecone API Key Sign up at pinecone.io if you havent already, then go to app.pinecone.io and get your key and paste it in Model_QA.py

Usage

  1. Clone the Repository:

    git clone https://github.com/Sharukesh3/LLM-for-hydrogen-storage
  2. Install the Requirements:

    pip install -r requirements.txt
  3. Run the Application:

    python app.py

    Note: The model will be downloaded during the first run.

  4. Access the Web Interface: Open your web browser and navigate to:

    http://127.0.0.1:5000
    
  5. Application Screenshots:

    • Home Page Overview:

      • WhatsApp Image 2024-05-20 at 17 41 04_7ea27fe9
    • Summarizer Tool:

      • WhatsApp Image 2024-05-20 at 17 41 03_9a5cace9
    • Question-Answering Bot:

      • WhatsApp Image 2024-05-20 at 17 41 03_4e40b017

System Requirements

  • Basic operating system requirements
  • Minimum of 7GB RAM for model loading and running

Feedback

Your feedback is valuable for the improvement of this tool. Please feel free to contribute or report any issues you encounter.

Disclaimer

Summaries and answers are based on automated processing and may not capture all details. For a comprehensive understanding, reviewing full research papers is recommended.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

Thank you for using the LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project! We hope it enhances your research experience.

Contact

For any inquiries, please contact us at:


This README file provides a comprehensive guide for users to understand and utilize the LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project effectively.

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The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.

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