app.py

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

# Load slow (SentencePiece) tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(
    "prithivida/parrot_paraphraser_on_T5",
    use_fast=False
)
model = AutoModelForSeq2SeqLM.from_pretrained(
    "prithivida/parrot_paraphraser_on_T5"
)

# Build your paraphrasing pipeline
paraphrase = pipeline(
    "text2text-generation",
    model=model,
    tokenizer=tokenizer,
    device=0  # if you have a GPU; otherwise omit this line
)

def humanize(text):
    outputs = paraphrase(
        text,
        max_length=256,
        num_return_sequences=1
    )
    return outputs[0]["generated_text"]

demo = gr.Interface(
    fn=humanize,
    inputs=gr.Textbox(lines=5, placeholder="Paste your text here…"),
    outputs="text",
    title="Humanizo: Humanize AI Text",
    description="Enter text and get a more natural, human‑like version."
)

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