thai-scam-demo / app.py
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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()