Update app.py

app.py

@@ -154,75 +154,24 @@ def update_preset(preset: str):
     image = Image.open(BytesIO(response.content)).convert("RGB")
     return image, preset_info["fg_threshold"], preset_info["mg_threshold"]
 
-# -----------------------------
-# Gradio Interface Setup
-# -----------------------------
-title = "Blur Effects: Gaussian & Depth-Based Lens Blur with Adjustable Depth Thresholds"
-description = (
-    "Choose a preset image or upload your own image to apply two distinct effects:\n\n"
-    "1. A segmentation-based Gaussian blur that blurs the background (using RMBG-2.0).\n"
-    "2. A depth-based lens blur effect that simulates realistic lens blur based on depth (using DepthPro).\n\n"
-    "The preset selection will automatically set the image and its default foreground/middleground depth thresholds."
-)
-
-# A radio to select between two preset images
-preset_radio = gr.Radio(
-    choices=["Preset 1", "Preset 2"],
-    label="Select Preset Image",
-    value="Preset 1"
-)
-
-# An image component that will be updated based on the preset selection
-preset_img = gr.Image(type="pil", label="Input Image")
 
-# Slider components for depth thresholds (will be updated when a preset is selected)
-fg_slider = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.33, label="Foreground Depth Threshold")
-mg_slider = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.66, label="Middleground Depth Threshold")
+title = "Blur Effects on Segmentation-Based Gaussian Blur & Depth-Based Lens Blur with Adjustable Depth Thresholds"
 
-# When the preset is changed, update the image and sliders with corresponding defaults.
-preset_radio.change(fn=update_preset, inputs=preset_radio, outputs=[preset_img, fg_slider, mg_slider])
-
-# Build the Gradio interface using the updated components.
 demo = gr.Interface(
     fn=process_image,
-    inputs=[preset_img, fg_slider, mg_slider],
+    inputs=[
+        gr.Image(type="pil", label="Input Image", value="https://i.ibb.co/fznz2b2b/hw3-q2.jpg"),
+        gr.Slider(minimum=0, maximum=1, step=0.01, value=0.33, label="Foreground Depth Threshold"),
+        gr.Slider(minimum=0, maximum=1, step=0.01, value=0.66, label="Middleground Depth Threshold")
+    ],
     outputs=[
         gr.Image(type="pil", label="Segmentation-Based Blur"),
         gr.Image(type="pil", label="Depth Map"),
         gr.Image(type="pil", label="Depth-Based Lens Blur")
     ],
     title=title,
-    description=description,
     allow_flagging="never"
 )
 
 if __name__ == "__main__":
     demo.launch()
-
-# title = "Blur Effects: Gaussian & Depth-Based Lens Blur with Adjustable Depth Thresholds"
-# description = (
-#     "Upload an image to apply two distinct effects:\n\n"
-#     "1. A segmentation-based Gaussian blur that blurs the background (using RMBG-2.0).\n"
-#     "2. A depth-based lens blur effect that simulates realistic lens blur based on depth (using DepthPro).\n\n"
-#     "Use the sliders to adjust the foreground and middleground depth thresholds."
-# )
-
-# demo = gr.Interface(
-#     fn=process_image,
-#     inputs=[
-#         gr.Image(type="pil", label="Input Image", value="https://i.ibb.co/fznz2b2b/hw3-q2.jpg"),
-#         gr.Slider(minimum=0, maximum=1, step=0.01, value=0.33, label="Foreground Depth Threshold"),
-#         gr.Slider(minimum=0, maximum=1, step=0.01, value=0.66, label="Middleground Depth Threshold")
-#     ],
-#     outputs=[
-#         gr.Image(type="pil", label="Segmentation-Based Blur"),
-#         gr.Image(type="pil", label="Depth Map"),
-#         gr.Image(type="pil", label="Depth-Based Lens Blur")
-#     ],
-#     title=title,
-#     description=description,
-#     allow_flagging="never"
-# )
-
-# if __name__ == "__main__":
-#     demo.launch()