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.