Update app.py

app.py

@@ -372,43 +372,6 @@ def show_details(choice):
         return f"An error occurred while showing details: {e}"
 
 
-# with gr.Blocks() as iface:
-#     gr.HTML("<h1 style='text-align: center;'>🐶 Dog Breed Classifier 🔍</h1>")
-#     gr.HTML("<p style='text-align: center;'>Upload a picture of a dog, and the model will predict its breed, provide detailed information, and include an extra information link!</p>")
-    
-#     with gr.Row():
-#         input_image = gr.Image(label="Upload a dog image", type="pil")
-#         output_image = gr.Image(label="Annotated Image")
-    
-#     output = gr.Markdown(label="Prediction Results")
-    
-#     with gr.Row():
-#         btn1 = gr.Button("View More 1", visible=False)
-#         btn2 = gr.Button("View More 2", visible=False)
-#         btn3 = gr.Button("View More 3", visible=False)
-
-#     input_image.change(
-#         predict,
-#         inputs=input_image,
-#         outputs=[output, output_image, btn1, btn2, btn3]
-#     )
-
-#     btn1.click(show_details, inputs=btn1, outputs=output)
-#     btn2.click(show_details, inputs=btn2, outputs=output)
-#     btn3.click(show_details, inputs=btn3, outputs=output)
-
-#     gr.Examples(
-#         examples=['Border_Collie.jpg', 'Golden_Retriever.jpeg', 'Saint_Bernard.jpeg', 'French_Bulldog.jpeg', 'Samoyed.jpg'],
-#         inputs=input_image
-#     )
-
-#     gr.HTML('For more details on this project and other work, feel free to visit my GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog_Breed_Classifier">Dog Breed Classifier</a>')
-
-# if __name__ == "__main__":
-#     iface.launch()
-
-
-# 介面部分
 with gr.Blocks() as iface:
     gr.HTML("<h1 style='text-align: center;'>🐶 Dog Breed Classifier 🔍</h1>")
     gr.HTML("<p style='text-align: center;'>Upload a picture of a dog, and the model will predict its breed, provide detailed information, and include an extra information link!</p>")
@@ -423,33 +386,16 @@ with gr.Blocks() as iface:
         btn1 = gr.Button("View More 1", visible=False)
         btn2 = gr.Button("View More 2", visible=False)
         btn3 = gr.Button("View More 3", visible=False)
-    
-    back_button = gr.Button("Back", visible=False)
-    
-    initial_state = gr.State()
-    
+
     input_image.change(
         predict,
         inputs=input_image,
-        outputs=[output, output_image, btn1, btn2, btn3, back_button, initial_state]
+        outputs=[output, output_image, btn1, btn2, btn3]
     )
 
-    for btn in [btn1, btn2, btn3]:
-        btn.click(
-            show_details,
-            inputs=[btn, output, initial_state],
-            outputs=[output, back_button, initial_state]
-        )
-
-    back_button.click(
-        lambda state: (state["explanation"], 
-                       state["buttons"][0] if len(state["buttons"]) > 0 else gr.update(visible=False),
-                       state["buttons"][1] if len(state["buttons"]) > 1 else gr.update(visible=False),
-                       state["buttons"][2] if len(state["buttons"]) > 2 else gr.update(visible=False),
-                       gr.update(visible=state["show_back"])),
-        inputs=[initial_state],
-        outputs=[output, btn1, btn2, btn3, back_button]
-    )
+    btn1.click(show_details, inputs=btn1, outputs=output)
+    btn2.click(show_details, inputs=btn2, outputs=output)
+    btn3.click(show_details, inputs=btn3, outputs=output)
 
     gr.Examples(
         examples=['Border_Collie.jpg', 'Golden_Retriever.jpeg', 'Saint_Bernard.jpeg', 'French_Bulldog.jpeg', 'Samoyed.jpg'],
@@ -458,6 +404,6 @@ with gr.Blocks() as iface:
 
     gr.HTML('For more details on this project and other work, feel free to visit my GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog_Breed_Classifier">Dog Breed Classifier</a>')
 
-
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()
+