Semblance: PDF Summarizer

DenseResearch™ talent pipeline

Upload multiple files to server, AI model pulls files from server and create an output file

This is phase 1 of a four-phase plan toward an AI model capable of producing consolidated research papers. A consolidated research paper in this way is equivalent to thousands of scientists reading millions of research papers and then conducting a meeting about all of the read research and describing a "state-of-the-union" sort of consolidated paper, saying where we are and where we are going with the research subject area.

Semblance is an open-source project aimed at building a PDF summarizer. The goal is to provide users with a user-friendly web interface where they can upload PDF files, which will then be processed by an AI model to generate concise summaries.

Features

• User Interface (UI):

  • A clean and intuitive UI for uploading PDF files.
  • Styling using HTML and CSS.
  • JavaScript to handle form submission and interaction.

• Server Backend:

  • An Express.js server to handle file uploads.
  • Integration with an AI model (PDF summarization).

• AI Model:

  • The AI model (not included in this repository) should read uploaded PDFs and generate summaries.
  • You can use existing NLP libraries or build a custom model.

Getting Started

1. Clone the Repository:

   git clone https://github.com/garyhartwelldinmore/Semblance.git
   cd Semblance

2. Install Dependencies:

   npm install

3. Run the Server:

   node server.js

4. Access the UI: Open your browser and navigate to http://localhost:3000.

Project Structure

• index.html: The main HTML file containing the UI.
• style.css: CSS file for styling the UI.
• server.js: Express.js server handling file uploads.
• semblance.py: Placeholder for the AI model (you need to implement this).

Usage

1. Upload PDFs:

   • Visit the UI in your browser.
   • Click the "Choose File" button to select a PDF.
   • Click "Upload PDF."

2. Server-side Handling:

   • The server receives the uploaded PDF.
   • It should save the file temporarily.
   • Spawn a child process to run semblance.py.

3. AI Model (summarize_pdf.py):

   • Read the PDF content.
   • Generate a summary (e.g., using NLP techniques).
   • Print the summary to stdout.

4. Display Summary:

   • The server captures the summary from stdout.
   • Send the summary back to the client-side JavaScript.
   • Display the summary in a separate popup window.

Contributing

Contributions are welcome! Feel free to submit pull requests or open issues.

License

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