Telugu NLP Question-Answer Generator

A web application that generates Telugu question-answer pairs from input text using Python backend with FastAPI and Indic NLP library.

Features

• Telugu Text Processing: Clean and normalize Telugu text input
• Sentence Splitting: Uses Indic NLP library for accurate Telugu sentence segmentation
• Rule-based Q&A Generation: Creates questions based on patterns like years, locations, and keywords
• FastAPI Backend: RESTful API for text processing
• Responsive Frontend: Clean web interface with Telugu language support
• Input Validation: Validates Telugu text quality and length

Project Structure

.
├── app.py              # FastAPI backend server
├── telugu_processor.py # Core Telugu NLP processing logic
├── requirements.txt    # Python dependencies
├── index.html         # Frontend HTML
├── style.css          # Frontend styling
├── script.js          # Frontend JavaScript (API integration)
├── test_backend.py    # Backend testing script
└── todo.md            # Implementation progress

Setup Instructions

1. Install Python Dependencies

pip install -r requirements.txt

2. Start the Backend Server

python app.py

The server will start on http://localhost:8000

3. Open the Frontend

Open index.html in a web browser or use a local server:

# Using Python's built-in server
python -m http.server 8080

Then navigate to http://localhost:8080

API Endpoints

• GET / - API information
• GET /health - Health check
• POST /generate - Generate Q&A pairs from Telugu text
• POST /test - Test endpoint with sample text

Usage

1. Enter Telugu text in the textarea (minimum 20 characters)
2. Click "ప్రాసెస్ చేయి" (Process) button
3. View generated question-answer pairs

Sample Input

తెలంగాణ రాష్ట్రం 2014 లో ఏర్పడింది. హైదరాబాద్ ఈ రాష్ట్ర రాజధాని. రాము ఒక మంచి విద్యార్థి.

Expected Output

1. Q: తెలంగాణ రాష్ట్రం ఏర్పడింది ఎప్పుడు?
   A: 2014

2. Q: తెలంగాణ రాష్ట్ర రాజధాని ఏది?
   A: హైదరాబాద్

3. Q: రాము ఒక మంచి గురించి ఏమిటి?
   A: రాము ఒక మంచి విద్యార్థి.

Testing

Run the backend test script:

python test_backend.py

Dependencies

• FastAPI: Web framework for building APIs
• Uvicorn: ASGI server for FastAPI
• indic-nlp-library: NLP library for Indian languages
• nltk: Natural Language Toolkit
• pydantic: Data validation

Development Notes

• The system uses rule-based approach for Q&A generation
• Currently supports year-based and location-based question patterns
• Can be extended with more sophisticated NLP models
• Frontend communicates with backend via REST API

Future Enhancements

• Add more question templates and patterns
• Integrate machine learning models for better Q&A generation
• Add user authentication and history
• Support for multiple Indian languages
• Export functionality for generated Q&A pairs