Create app.py

app.py

@@ -0,0 +1,26 @@
+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()