app.py

import gradio as gr
from transformers import AutoTokenizer, T5ForConditionalGeneration
import torch

# Dùng đúng tokenizer gốc: t5-small
tokenizer = AutoTokenizer.from_pretrained("t5-small")
model = T5ForConditionalGeneration.from_pretrained("naot97/vietnamese-toxicity-detection_3")

def detect_toxic(text):
    prompt = f"toxic classification: {text}"
    inputs = tokenizer(prompt, return_tensors="pt", truncation=True)

    with torch.no_grad():
        outputs = model.generate(
            input_ids=inputs["input_ids"],
            attention_mask=inputs["attention_mask"],
            max_length=10
        )
        decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)

    return f"Toxicity: {decoded}"

gr.Interface(
    fn=detect_toxic,
    inputs="text",
    outputs="text",
    title="Vietnamese Toxicity Detector",
    description="Dựa trên mô hình T5 phát hiện độc hại tiếng Việt"
).launch()