📄 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.

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🚀 Key Features

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

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🔍 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:

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🛠 System Requirements

Dependencies

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

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📄 License

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