app.py

import gradio as gr
from transformers import T5Tokenizer, MT5ForConditionalGeneration

model_name = "google/mt5-base"
tokenizer = T5Tokenizer.from_pretrained(model_name, use_fast=False)
model = MT5ForConditionalGeneration.from_pretrained(model_name)

def humanize(text):
    prompt = "paraphrase: " + text
    inputs = tokenizer(prompt, return_tensors="pt", truncation=True, padding=True)
    outputs = model.generate(**inputs, max_length=512, num_beams=4)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

gr.Interface(
    fn=humanize,
    inputs=gr.Textbox(lines=10, label="Vstupný text (česky alebo slovensky)"),
    outputs=gr.Textbox(label="Prepísaný text"),
    title="Humanizer CZ/SK (MT5)",
    description="Prepíše český alebo slovenský text do prirodzenejšej formy pomocou multijazyčného modelu MT5."
).launch()