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from fastapi import FastAPI, Request
from pydantic import BaseModel
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
app = FastAPI()
# Load model + tokenizer
model_name = "grammarly/coedit-xl"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
class InputText(BaseModel):
text: str
@app.post("/correct")
async def correct_text(data: InputText):
input_text = data.text
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
return {"corrected": result} |