Add better labels

app.py

@@ -100,7 +100,9 @@ def synthetic_lens_blur(img: Image.Image, max_blur_radius: int):
             if blur_radius > 1:
                 blurred_roi = cv2.GaussianBlur(roi, (blur_radius, blur_radius), 0)
                 try:
-                    blurred_image[i, j] = blurred_roi[blur_radius // 2, blur_radius // 2]
+                    blurred_image[i, j] = blurred_roi[
+                        blur_radius // 2, blur_radius // 2
+                    ]
                 except:
                     blurred_image[i, j] = original_rgb[i, j]
             else:
@@ -129,14 +131,22 @@ def update_synthetic(img, radius):
 
 
 with gr.Blocks() as demo:
-    gr.Markdown("## 🌀 Blur Effects Comparison: Gaussian, Depth-Based, Synthetic")
+    gr.Markdown(
+        "## 🌀 Blur Effects Comparison: Gaussian, Depth-Based, Synthetic (Depth Based Blur works with bottles)"
+    )
 
     with gr.Row():
         image_input = gr.Image(type="pil", label="Upload Image")
 
     with gr.Row():
         g_slider = gr.Slider(1, 49, step=2, value=11, label="Gaussian Kernel Size")
-        lens_slider = gr.Slider(1, 50, step=1, value=15, label="Depth-Based Blur Intensity")
+        lens_slider = gr.Slider(
+            1,
+            50,
+            step=1,
+            value=15,
+            label="Depth-Based Blur Intensity (Works with bottles)",
+        )
         synth_slider = gr.Slider(1, 50, step=1, value=25, label="Synthetic Blur Radius")
 
     with gr.Row():
@@ -152,8 +162,14 @@ with gr.Blocks() as demo:
     )
 
     # Individual updates for each slider
-    g_slider.change(fn=update_gaussian, inputs=[image_input, g_slider], outputs=g_output)
-    lens_slider.change(fn=update_lens, inputs=[image_input, lens_slider], outputs=l_output)
-    synth_slider.change(fn=update_synthetic, inputs=[image_input, synth_slider], outputs=s_output)
+    g_slider.change(
+        fn=update_gaussian, inputs=[image_input, g_slider], outputs=g_output
+    )
+    lens_slider.change(
+        fn=update_lens, inputs=[image_input, lens_slider], outputs=l_output
+    )
+    synth_slider.change(
+        fn=update_synthetic, inputs=[image_input, synth_slider], outputs=s_output
+    )
 
 demo.launch()