PDF Summarizer Application

Welcome to the PDF Summarizer Application, a powerful tool designed to extract and condense the content of any PDF file into a concise summary of 5 to 6 sentences. This application utilizes advanced natural language processing techniques, making it ideal for quickly grasping the main points of complex documents.

Features

Efficient Summarization: Quickly condenses a full-length PDF into a brief summary.
Easy to Use: Simple command line interface for streamlined operation.
Customizable: Easy to modify and extend based on user-specific needs.

Installation

To set up the PDF Summarizer Application on your machine, follow these steps:

Prerequisites

Before installing the PDF Summarizer, make sure you have the following:

Python installed on your computer (Python 3.8+ recommended).
Git for cloning the repository.
Virtualenv for creating an isolated Python environment.

Step 1: Clone the Repository

Clone the repository to your local machine using Git:

git clone https://github.com/0018akhil/PDF-summarizer-langchain

Step 2: Install Dependencies

Navigate to the directory where you cloned the repo and install the required Python libraries:

cd PDF-summarizer-langchain
pip install -r requirements.txt

Step 3: Run the Application

With the virtual environment activated, you can now run the application:

streamlit run index.py

This README file is structured to be informative and user-friendly, making it easy for users to understand how to install and use the application, and how to contribute or get help if needed. Adjust any details to better fit your project specifics or personal contact information.