Update app.py

app.py

@@ -43,6 +43,15 @@ with gr.Blocks() as demo:
         Models: Xception, MobileNet V3 Small, \
         EfficientNet V2 Small.
 
+        These models were trained on ImageNet 1000. \
+        Go to [IMAGENET 1000 Class List]\
+        (https://deeplearning.cms.waikato.ac.nz/user-guide/class-maps/IMAGENET/)\
+        to see what objects the models can recognize.
+
+        Tip: The ImageNet does not contain classes for people or faces.\
+        Input some image of people and human faces and the model will give \
+        interesting predictions!
+
         Top three predictions of classes are shown for each \
         of the model.