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📄 PDF Summary Tool

📌 Project Overview

This project demonstrates the loading, preprocessing, and summarization of text from PDF files using Streamlit and LLM APIs like (Deepseek r1,o3-mini). The application allows users to upload a PDF, extract its text, and generate a concise summary. The summary can be downloaded as a .txt file for offline use.

🚀 Key Features

  1. PDF Summarization
    • Users can upload a PDF file (up to 200MB) and get the summary of the document.

🔍 How It Works

  1. Upload a PDF:
    • Users upload a PDF file using the file uploader in the app.
  2. Extract Text:
    • The app extracts text from the PDF using the PyPDF2 library.
  3. Generate Summary:
    • The extracted text is sent to the LLM API (Deepseek r1, o3-mini), which generates a summary.
  4. Display and Download:
    • The summary is displayed on the app, and users can download it as a .txt file.

Check Demo Here:
Open in Streamlit

🛠 System Requirements

Dependencies

  • Python 3.8+
  • Libraries: streamlit, PyPDF2, openai
  • Hardware: CPU (GPU not required)

📄 License

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