Update app.py

app.py

@@ -71,19 +71,20 @@ def predict(image_np):
 detection_model = load_model()
 
 # Specify paths to example images
-example_image_paths = ["test_1.jpg"]
+sample_images = [["test_1.jpg"]]
 
 # Create a list of example inputs and outputs using a for loop
-example_inputs = [Image.open(path) for path in example_image_paths]
-example_outputs = [predict(input_image) for input_image in example_inputs]
+# example_inputs = [Image.open(image) for image in sample_images]
+# example_outputs = [predict(input_image) for input_image in example_inputs]
 
 # Save the example output image
-example_outputs[0].save("/home/user/app/predicted_1.jpg")
+# example_outputs[0].save("/home/user/app/predicted_1.jpg")
 
 iface = gr.Interface(fn=predict,
                      inputs=gr.Image(label='Upload an expressway image', type="pil"),
                      outputs=gr.Image(type="pil"),
-                     title='Blue and Yellow Taxi detection in live expressway traffic conditions (data.gov.sg)'
+                     title='Blue and Yellow Taxi detection in live expressway traffic conditions (data.gov.sg)',
+                     examples = sample_images
                     )
 
 iface.launch(share=True)