# app.py

import gradio as gr
from transformers import pipeline

# Load Falcon-7B-Instruct or fallback model
model_id = "tiiuae/falcon-7b-instruct"
polisher = pipeline("text-generation",
                    model=model_id,
                    torch_dtype="auto",
                    trust_remote_code=True)

def oxford_polish(sentence):
    prompt = (
        "You are an Oxford grammar professor. "
        "Rewrite the following sentence in formal written English, following the Oxford University Style Guide. "
        "Ensure tense matches time expressions (e.g. 'tomorrow' → future, 'yesterday' → past), "
        "use British spelling, apply the Oxford comma, and correct uncountable nouns naturally.\n\n"
        f"Sentence: {sentence}\n\nCorrected:"
    )
    out = polisher(prompt, max_new_tokens=80, do_sample=False)
    return out[0]["generated_text"].split("Corrected:")[-1].strip()

# Gradio interface
demo = gr.Interface(
    fn=oxford_polish,
    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence to correct..."),
    outputs=gr.Textbox(label="Oxford-style Correction"),
    title="Oxford Grammar Polisher",
    description="Rewrite sentences in formal written English using Oxford grammar rules. Powered by Falcon-7B-Instruct."
)

demo.launch()