Update app.py

app.py

@@ -71,7 +71,8 @@ def predict(image_np):
 detection_model = load_model()
 
 # Specify paths to example images
-sample_images = [["test_1.jpg"],["test_5.jpg"],["test_6.jpg"],["test_7.jpg"],["test_8.jpg"]]
+sample_images = [["test_1.jpg"],["test_9.jpg"],["test_6.jpg"],["test_7.jpg"],
+                 ["test_10.jpg"], ["test_11.jpg"],["test_8.jpg"]]
 
 # Create a list of example inputs and outputs using a for loop
 # example_inputs = [Image.open(image) for image in sample_images]