app.py

import gradio as gr
from transformers import pipeline

def correct_grammar(sentence):
    model_name = "AventIQ-AI/t5-grammar-correction"
    generator = pipeline("text2text-generation", model=model_name)
    
    result = generator(sentence, max_length=256)[0]['generated_text']
    
    return result

iface = gr.Interface(
    fn=correct_grammar,
    inputs=gr.Textbox(label="Input Sentence"),
    outputs=gr.Textbox(label="Corrected Sentence"),
    title="T5 Grammar Correction",
    description="Enter a sentence with grammar mistakes, and the model will correct it."
)

if __name__ == "__main__":
    iface.launch()