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raheemzee/Notebook_Lm

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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App README

Health Research Chatbot 🚑📚

This project is a Health Research Chatbot powered by AI that answers health-related questions using scientific research papers from sources like arXiv, PubMed, and other open-access scientific sources. The chatbot automatically fetches, indexes, and ranks papers to provide accurate and up-to-date answers to your questions.

Features

  • —Ask Health Questions: Get answers from a curated collection of scientific papers.
  • —Automated Paper Collection: Fetches papers from multiple sources relevant to health and medicine.
  • —AI Relevance Scoring: Uses keyword and AI-based scoring to prioritize the most relevant papers.
  • —Summarization: Provides concise summaries of research papers for easy understanding.
  • —Search & Filter: Retrieve information based on topics, keywords, or authors.
  • —NotebookLM Integration Ready: Organizes papers for possible ingestion into NotebookLM or similar research notebooks.
  • —User-Friendly Interface: Built with Gradio for easy interaction on web or Hugging Face Spaces.

How It Works

  1. 1.Configure Research Profiles: Define topics, keywords, and sources to focus on.
  2. 2.Collect Papers: Automatically fetch papers from APIs, RSS feeds, or DOI lists.
  3. 3.AI Scoring: Rank papers based on relevance to your health topics using AI.
  4. 4.Download & Normalize: Retrieve PDFs, extract metadata, and standardize filenames.
  5. 5.Query Papers: Ask questions in the chatbot; the system fetches and summarizes relevant content.
  6. 6.Get Answers: Receive accurate, research-backed responses in real-time.

Installation

This app is ready to run on Hugging Face Spaces. To run locally:

bash
git clone <your-repo-url>
cd <your-repo>
python -m venv venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows
pip install -r requirements.txt
python app.py