app.py

import gradio as gr
from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM

model_name = "mrm8488/t5-base-finetuned-common_gen"

tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)  # 🛠️ Force slow tokenizer
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)

def enhance(text):
    prompt = f"paraphrase: {text}"
    result = pipe(prompt, max_length=128, num_return_sequences=1, do_sample=True)[0]['generated_text']
    return result

gr.Interface(fn=enhance, inputs="text", outputs="text", title="AI Text Enhancer").launch()