code_explanation.md

📖 Code Explanation: Grammar & Spelling Corrector

This document provides a step-by-step explanation of the Grammar & Spelling Corrector app, showing how each part works so even a beginner can follow.

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📝 Overview

Purpose
Improve grammar and spelling of English sentences or paragraphs using a state-of-the-art NLP model.

Tech Stack

• Model: grammarly/coedit-large (Hugging Face Transformers)
• Interface: Gradio Blocks + Buttons

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⚙️ Setup & Dependencies

Install required libraries:

pip install transformers gradio torch

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🔍 Block-by-Block Explanation

1. Imports

from transformers import pipeline
import gradio as gr
import torch

• pipeline: high-level API to load pre-trained models for various tasks.
• gradio: library to quickly build web interfaces.

2. Model Loading

pipe = pipeline(
    "text2text-generation",
    model="grammarly/coedit-large,
    torch_dtype=torch.bfloat16
)

• Loads the CoEdit model, fine-tuned for grammar and spelling correction.
• The pipeline can generate corrected text from raw input.

3. Grammar Correction Function

def correct_grammar(text: str) -> str:
    outputs = pipe(
        text,
        max_length=256,
        num_beams=5,
        early_stopping=True
    )
    return outputs[0]["generated_text"]

• Input: raw English text.
• Parameters:
  • max_length=256: maximum tokens for output.
  • num_beams=5: beam search for more accurate generation.
  • early_stopping=True: stop beams when best hypothesis is found.
• Output: corrected text string.

4. Gradio User Interface

with gr.Blocks(theme=gr.themes.Default()) as demo:
    gr.Markdown("# 📝 Grammar & Spelling Corrector")
    gr.Markdown("Paste any English sentence or paragraph below to get a corrected version.")

    with gr.Row():
        inp = gr.Textbox(
            label="✍️ Input Text",
            placeholder="Type your text here...",
            lines=4,
            show_copy_button=True
        )
        out = gr.Textbox(
            label="✅ Corrected Text",
            placeholder="Corrected text appears here.",
            lines=4,
            interactive=False,
            show_copy_button=True
        )

    btn = gr.Button("✔️ Correct Grammar")
    btn.click(fn=correct_grammar, inputs=inp, outputs=out)

    gr.Markdown("---")
    gr.Markdown("Built with 🤗 Transformers (`grammarly/coedit-large`) and 🚀 Gradio")

demo.launch()

• Blocks and Rows organize layout.
• Textbox for input and output.
• Button triggers the correct_grammar function.

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🚀 Core Concepts

Concept	Why It Matters
Hugging Face Pipeline	Simplifies loading and using pre-trained models
CoEdit Model	Specialized for grammar and spelling correction
Gradio Interface	Quickly builds interactive web apps

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🔄 Extensions & Alternatives

• Alternative Models:

  • prithivida/grammar_error_correcter_v1 (T5-based)
  • microsoft/trocr-base-handwritten for OCR + correction

• UI Enhancements:

  • Add file upload for batch corrections.
  • Include copy-to-clipboard buttons and download corrected text.

• Performance:

  • Enable GPU support for faster inference.
  • Experiment with torch_dtype=torch.bfloat16 on supported hardware.