QuizGen

QuizGen is a web application designed for generating questions based on input documents, leveraging a fine-tuned T5 model on the SQuAD dataset. This application is built using FastAPI, HTML, CSS, and JavaScript, and utilizes Jinja2 for rendering templates.

DEMO

Advance DEMO

Features

• Upload PDF documents, videos, or audio files to generate relevant questions.
• Fine-tuned T5 model on the SQuAD dataset for high-quality question generation.
• User-friendly interface with responsive design.
• Built using FastAPI for backend functionality and Jinja2 for frontend rendering.

Technologies Used

• FastAPI: For building the web application.
• T5: For natural language processing and question generation.
• Hugging Face Transformers: For model management and fine-tuning.
• HTML/CSS/JavaScript: For frontend development.
• Jinja2: For rendering HTML templates.

Installation

Prerequisites

• Python 3.7 or higher
• Pip (Python package manager)

Clone the Repository

git clone https://github.com/Shymaa2611/QuestionGeneration.git
cd QuestionGeneration

Install Dependencies

pip install -r requirements.txt

Download the SQuAD Dataset

You can download the SQuAD dataset from Hugging Face using the following command:

pip install datasets

from datasets import load_dataset
dataset = load_dataset("rajpurkar/squad")

Running the Application

• Start the FastAPI server:

uvicorn main:app --reload

• Open your browser and navigate to http://127.0.0.1:8000.
• Use the web interface to upload files and generate questions.