Seg: drop unused opacity slider; bake 0.5 into the static overlay

app.py

@@ -133,7 +133,7 @@ def _label_map_to_overlay(image_bgr: np.ndarray, label_map: np.ndarray, opacity:
 # Gradio handler
 
 @spaces.GPU(duration=120)
-def predict(image: Image.Image, size: str, opacity: float):
+def predict(image: Image.Image, size: str):
     if image is None:
         return None, None, None
 
@@ -147,7 +147,7 @@ def predict(image: Image.Image, size: str, opacity: float):
     annotations = _label_map_to_annotations(label_map)
     annotated = (image_pil, annotations)
 
-    overlay_bgr = _label_map_to_overlay(image_bgr, label_map, float(opacity))
+    overlay_bgr = _label_map_to_overlay(image_bgr, label_map, 0.5)
     overlay_rgb = cv2.cvtColor(overlay_bgr, cv2.COLOR_BGR2RGB)
 
     npy_path = tempfile.NamedTemporaryFile(delete=False, suffix=".npy").name
@@ -242,9 +242,8 @@ with gr.Blocks(title="Sapiens2 Seg", theme=gr.themes.Soft(), css=CUSTOM_CSS) as
             choices=list(SEG_MODELS.keys()),
             value=DEFAULT_SIZE,
             label="Model size",
-            scale=2,
+            scale=4,
         )
-        opacity = gr.Slider(0.0, 1.0, value=0.5, step=0.05, label="Overlay opacity", scale=2)
         run = gr.Button("Run", variant="primary", size="lg", scale=1)
 
     gr.Examples(examples=EXAMPLES, inputs=inp, examples_per_page=14)
@@ -253,7 +252,7 @@ with gr.Blocks(title="Sapiens2 Seg", theme=gr.themes.Soft(), css=CUSTOM_CSS) as
         out_img = gr.Image(label="Color overlay (PNG)", type="pil")
         out_npy = gr.File(label="Raw labels (.npy uint8, class indices 0–28)")
 
-    run.click(predict, inputs=[inp, size, opacity], outputs=[out_annot, out_img, out_npy])
+    run.click(predict, inputs=[inp, size], outputs=[out_annot, out_img, out_npy])
 
 
 if __name__ == "__main__":