Update app.py

app.py

@@ -3,12 +3,16 @@ from transformers import pipeline
 
 clf = pipeline("text-classification", model="MayZhou/e5-small-lora-ai-generated-detector")
 
+# Create API function inside Blocks context
 with gr.Blocks() as demo:
     @gr.api()
-    def detect_ai(text: str):
-        result = clf(text)[0]
-        label = result['label']
-        score = round(result['score'] * 100, 2)
-        return f"{label} ({score}%)"
+    def detect_ai(text: str) -> str:
+        try:
+            result = clf(text)[0]
+            label = result['label']
+            score = round(result['score'] * 100, 2)
+            return f"{label} ({score}%)"
+        except Exception as e:
+            return f"Error: {str(e)}"
 
-demo.launch(show_api=True)
+demo.launch(server_name="0.0.0.0", show_api=True)