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import torch
from fastapi.middleware.cors import CORSMiddleware
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from happytransformer import HappyTextToText, TTSettings
import gradio as gr
# Load models
happy_tt = HappyTextToText("T5", "prithivida/grammar_error_correcter_v1")
def correct_grammar(text):
args = TTSettings(num_beams=5, min_length=1)
correction = happy_tt.generate_text("gec: " + text, args=args).text
grammar_score = 100 - abs(len(text) - len(correction)) # Simplified scoring
return correction, grammar_score
# Gradio interface
def process_input(text):
return correct_grammar(text)
# Add CORS support
app = gr.Interface(
fn=process_input,
inputs=gr.Textbox(placeholder="Enter text here...", label="Input Text"),
outputs=[
gr.Textbox(label="Corrected Text"),
gr.Number(label="Grammar Score")
],
title="Grammar Checker API",
allow_flagging="never"
)
app.app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
)
if __name__ == "__main__":
app.launch() |