app.py

import gradio as gr
from transformers import pipeline

# Load model
paraphraser = pipeline("text2text-generation", model="Vamsi/T5_Paraphrase_Paws")

def paraphrase(text):
    if not text.strip():
        return "Please enter some text."
    result = paraphraser(text, max_length=128, num_return_sequences=1, do_sample=False)
    return result[0]['generated_text']

# Gradio interface
iface = gr.Interface(
    fn=paraphrase,
    inputs=gr.Textbox(lines=4, placeholder="Enter text here..."),
    outputs="text",
    title="Smooth Paraphraser",
    description="Rewrite sentences smoothly while preserving meaning."
)

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