QuickLit

Overview

The QuickLit is a web application built with Angular for the frontend and Python for the backend. It allows users to upload a picture of a book cover, extracts the book title using Google Cloud Vision API, and then uses ChatGPT to generate a summary. Users can also save the summary as a PDF.

Features

• Image Upload: Users can upload a picture of a book cover.
• Google Cloud Vision API Integration: Extracts the book title from the uploaded image.
• ChatGPT Integration: Generates book title, author, and summary in JSON format based on the extracted title.
• PDF Export: Users can save the generated summary as a PDF file.

Prerequisites

• Node.js
• Angular CLI
• Python
• Google Cloud Vision API key
• Gemini API key

Getting Started

1. Clone the repository:

   git clone https://github.com/Loveena28/QuickLit-BookSummarizer

2. Install Angular dependencies:

   cd angular-frontend
   npm install

3. Configure backend:

   • Set up a virtual environment:

     cd python-backend
     python -m venv venv

   • Install Python dependencies:

     source venv/bin/activate  # On Windows: .\venv\Scripts\activate
     pip install -r requirements.txt

   • Set up configuration for Google Cloud Vision API and OpenAI GPT-3 API

4. Run the application:

   • Start the angular frontend

     cd angular-frontend
     ng serve

   • Start the python backend

     cd python-backend
     python main.py

   Access the application at http://localhost:4200 in your web browser.

User Interface