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

model_name = "Tlezz324/thai-scam-detector-v1.69"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

def predict(text):
    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
    with torch.no_grad():
        logits = model(**inputs).logits
        pred = torch.argmax(logits, dim=1).item()
    return "Scam" if pred == 1 else "Not Scam"

iface = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=4, placeholder="พิมพ์ข้อความที่ต้องการตรวจสอบ..."),
    outputs="text",
    title="Thai Scam Detector Demo",
    description="โมเดลตรวจจับข้อความหลอกลวงภาษาไทย"
)

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