Update app.py

app.py

@@ -70,12 +70,6 @@ def predict2(pilimg):
     
 detection_model = load_model()
 
-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)'
-                    )
-
 # Specify paths to example images
 example_image_paths = ["test_1.jpg"]
 
@@ -86,7 +80,9 @@ example_outputs = [predict2(input_image) for input_image in example_image_paths]
 # Save the example output image
 example_outputs[0].save("predicted_1.jpg")
 
-# Create the Gradio interface with examples using a for loop
-examples = [[Image.open("test_1.jpg"), Image.open("predicted_1.jpg")]]
-
-iface.launch(share=True, examples=examples)
+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)',
+                     examples = [[Image.open("test_1.jpg"), Image.open("predicted_1.jpg")]]
+                    )