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PDF Summarizer

A Python application that extracts text from PDF files and generates concise summaries using natural language processing.

Features

  • Extract text from PDF documents
  • Generate intelligent summaries of PDF content
  • Simple and user-friendly interface
  • Support for multiple PDF formats

Prerequisites

  • Python 3.7 or higher
  • Required Python packages (see requirements.txt)

Installation

  1. Clone or download this repository
  2. Navigate to the project directory: 
    cd PDF_Summarizer
  3. Install required dependencies: 
    pip install -r requirements.txt

Usage

  1. Place your PDF file in the project directory
  2. Run the main script: 
    streamlit run app.py
  3. Follow the prompts to select your PDF file
  4. The summary will be generated and displayed

Requirements

  • PyPDF2 or similar PDF processing library
  • Natural language processing libraries (NLTK, spaCy, or transformers)
  • Other dependencies as listed in requirements.txt

Contributing

Feel free to submit issues and enhancement requests.