Update app.py

app.py

@@ -55,7 +55,7 @@ class ONNXInferencePipeline:
         predicted_class = int(np.argmax(probabilities))
 
         # Map to labels
-        class_labels = ['Inappropriate Content', 'Not Inappropriate']
+        class_labels = ['Inappropriate Content', 'Appropriate']
         return {
             'label': class_labels[predicted_class],
             'confidence': float(probabilities[0][predicted_class]),