Grammar Guruji

Grammar Guruji is an interactive web application powered by Streamlit, designed to correct grammatical errors in text using state-of-the-art NLP models. It leverages the Hugging Face Transformers library and Optimum Intel OpenVINO integration for efficient model inference.

Features

• Sentence Splitting: Breaks down text into individual sentences for better context understanding.
• Grammar Checking: Utilizes a robust model to identify grammatical errors.
• Grammar Correction: Offers suggestions to improve the text's grammar.
• Streamlit Interface: Provides an easy-to-use web interface for real-time grammar correction.

Models

The application uses two primary models:

1. Grammar Checker: textattack/roberta-base-CoLA - A model trained on the Corpus of Linguistic Acceptability (CoLA) for grammatical error detection.
2. Grammar Corrector: pszemraj/flan-t5-large-grammar-synthesis - A model that generates grammatically correct sentences.

Both models are optimized with Intel OpenVINO for faster inference on CPU.

Installation

To set up Grammar Guruji, follow these steps:

1. Clone the repository:

   git clone [https://github.com/your-username/grammar-guruji.git](https://github.com/TABREZ-96/Grammer_Guruji/)

2. Install the required packages:

Usage

To start the application, run: streamlit run main2.py

Navigate to http://localhost:8501 in your web browser to access the Grammar Guruji interface.

Acknowledgments

• Hugging Face for the Transformers library.
• Intel for the Optimum library and OpenVINO toolkit.
• The developers and researchers behind the CoLA dataset and T5 models.

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For more information on the models and their usage, please refer to the official documentation of Transformers and Optimum.