app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

# 加载模型（无Java依赖）
tokenizer = AutoTokenizer.from_pretrained("prithivida/grammar_error_correcter_v1")
model = AutoModelForSeq2SeqLM.from_pretrained("prithivida/grammar_error_correcter_v1")

def correct_grammar(text):
    if not text.strip():
        return "请输入英文文本。"
    inputs = tokenizer.encode(text, return_tensors="pt")
    outputs = model.generate(inputs, max_length=256)
    corrected = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return corrected

demo = gr.Interface(
    fn=correct_grammar,
    inputs=gr.Textbox(lines=5, placeholder="Enter English text..."),
    outputs=gr.Textbox(label="Corrected Text"),
    title="English Grammar Corrector",
    description="Automatically correct English grammar and spelling using a transformer model."
)

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