add examples

my_app.py

@@ -22,6 +22,7 @@ This model is based on the EfficientNetB0 architecture and was trained on the Fo
 
 #This model is based on the EfficientNetB0 architecture and was trained on augmented data, providing improved generalization.
 #"""
+examples = [["./examples/club_sandwich.jpg"], ["./examples/edamame.jpg"], ["./examples/dandelion.jpg"], ["./examples/eggs_benedict.jpg"]]
 
 def preprocess(image):
     print("before resize", image.shape)
@@ -53,6 +54,7 @@ iface = gr.Interface(
     outputs=[gr.Label(num_top_classes=5)],
     title="Food Vision Mini Project",
     description=f"{model1_info}\n",
+    examples=examples
 )
 
-iface.launch()
+iface.launch(enable_queue=True)