app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text2text-generation", model="mrm8488/t5-base-finetuned-common_gen")

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="Text Enhancer").launch()