skip examples for now

app.py

@@ -41,36 +41,36 @@ def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
     return image
 
 
-EXAMPLES = [
-    [
-        None,
-        {
-            "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
-            "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2.png", stream=True).raw))],
-            "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-2.png", stream=True).raw),
-        },
-        "little lion",
-        None,
-        42,
-        False,
-        0.85,
-        30
-    ],
-    [
-        None,
-        {
-            "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
-            "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3.png", stream=True).raw))],
-            "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-3.png", stream=True).raw),
-        },
-        "tattoos",
-        None,
-        42,
-        False,
-        0.85,
-        30
-    ]
-]
+# EXAMPLES = [
+#     [
+#         None,
+#         {
+#             "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
+#             "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2.png", stream=True).raw))],
+#             "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-2.png", stream=True).raw),
+#         },
+#         "little lion",
+#         None,
+#         42,
+#         False,
+#         0.85,
+#         30
+#     ],
+#     [
+#         None,
+#         {
+#             "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
+#             "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3.png", stream=True).raw))],
+#             "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-3.png", stream=True).raw),
+#         },
+#         "tattoos",
+#         None,
+#         42,
+#         False,
+#         0.85,
+#         30
+#     ]
+# ]
 
 pipe = FluxInpaintPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to(DEVICE)
@@ -240,27 +240,27 @@ with gr.Blocks() as demo:
             with gr.Accordion("Debug", open=False):
                 output_mask_component = gr.Image(
                     type='pil', image_mode='RGB', label='Input mask', format="png")
-    with gr.Row():
-        gr.Examples(
-            fn=process,
-            examples=EXAMPLES,
-            inputs=[
-                input_image_editor_component,
-                inpainting_prompt_text_component,
-                masking_prompt_text_component,
-                masking_prompt_text_component,
-                seed_slicer_component,
-                randomize_seed_checkbox_component,
-                strength_slider_component,
-                num_inference_steps_slider_component
-            ],
-            outputs=[
-                output_image_component,
-                output_mask_component
-            ],
-            run_on_click=True,
-            cache_examples=True
-        )
+    # with gr.Row():
+        # gr.Examples(
+        #     fn=process,
+        #     examples=EXAMPLES,
+        #     inputs=[
+        #         input_image_editor_component,
+        #         inpainting_prompt_text_component,
+        #         masking_prompt_text_component,
+        #         masking_prompt_text_component,
+        #         seed_slicer_component,
+        #         randomize_seed_checkbox_component,
+        #         strength_slider_component,
+        #         num_inference_steps_slider_component
+        #     ],
+        #     outputs=[
+        #         output_image_component,
+        #         output_mask_component
+        #     ],
+        #     run_on_click=True,
+        #     cache_examples=True
+        # )
 
     submit_button_component.click(
         fn=process,