no examples

app.py

@@ -175,23 +175,6 @@ def create_vis_demo():
     prompt.submit(fn=predict_images, inputs=[image, depth, prompt, negative_prompt, guidance_scale, steps, strength, scheduler], outputs=[image_out, depth_out, share_btn_container])
     share_button.click(None, [], [], _js=share_js)
 
-    gr.Examples(
-        examples=[
-            ["./imgs/aaa (8).png"],
-            ["./imgs/download (1).jpeg"],
-            ["./imgs/0_oE0mLhfhtS_3Nfm2.png"],
-            ["./imgs/02_HubertyBlog-1-1024x1024.jpg"],
-            ["./imgs/jdn_jacques_de_nuce-1024x1024.jpg"],
-            ["./imgs/c4ca473acde04280d44128ad8ee09e8a.jpg"],
-            ["./imgs/canam-electric-motorcycles-scaled.jpg"],
-            ["./imgs/e8717ce80b394d1b9a610d04a1decd3a.jpeg"],
-            ["./imgs/Nature___Mountains_Big_Mountain_018453_31.jpg"],
-            ["./imgs/Multible-sharing-room_ccexpress-2-1024x1024.jpeg"],
-        ],
-        fn=predict_images,
-        inputs=[image],
-        cache_examples=False,
-    )
 
 
 def predict_images_3d(dict, depth, prompt="", negative_prompt="", guidance_scale=7.5, steps=20, strength=1.0, scheduler="EulerDiscreteScheduler", keep_edges=False):
@@ -269,9 +252,6 @@ def create_3d_demo():
     
     submit = gr.Button("Submit")
     submit.click(fn=predict_images_3d, inputs=[image, depth, prompt, negative_prompt, guidance_scale, steps, strength, scheduler, checkbox], outputs=[result_og, result_new, share_btn_container], api_name='run')
-    examples = gr.Examples(examples=["examples/aerial_beach.jpeg", "examples/mountains.jpeg", "examples/person_1.jpeg", "examples/ancient-carved.jpeg"],
-                            inputs=[image])
-
 
 
 with image_blocks as demo: