BFS-PDF-Summarizer with OpenAI API

This is a Flask web application that uses the OpenAI API to generate structured summaries from PDF files. The app takes a PDF as input, processes the text, and produces a concise summary with main points and sub-points. The application also supports deployment on platforms like Render.

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Features

• Extracts text from uploaded PDF files.
• Generates structured and concise summaries using OpenAI's GPT models.
• Displays summaries with bold main points and bullet-style sub-points for readability.
• Dynamically generates a title for each summary based on the content.
• Secure handling of API keys using environment variables.

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Live Web App

You can access the deployed web application here:
PDF Summarizer on Render

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Technologies Used

• Python (Flask)
• OpenAI API (GPT-3.5 Turbo)
• PyPDF2 (for PDF text extraction)
• Python-docx (for word doc text extraction)
• Gunicorn (for production deployment)
• HTML/CSS/JavaScript (for the frontend)

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Installation

Prerequisites

• Python 3.6 or higher
• OpenAI API key (create one from OpenAI)
• A terminal or command prompt with Git installed

Steps

1. Clone the Repository

   git clone https://github.com/Sayanss99/BFS-PDF-Summarizer.git
   cd BFS-PDF-Summarizer