Update utils.py

utils.py

@@ -376,13 +376,32 @@ def _voice_color_map(df5_labels, speaker_color_map):
     return color_map
 
 
+def _dim_color_map(color_map, sat_factor=0.75, val_factor=0.88):
+    """Reduce saturation/brightness of all colors in a map to match bar/timeline rendering."""
+    import colorsys
+    result = {}
+    for lbl, hex_color in color_map.items():
+        try:
+            h = hex_color.lstrip('#')
+            r, g, b = int(h[0:2],16)/255, int(h[2:4],16)/255, int(h[4:6],16)/255
+            hue, sat, val = colorsys.rgb_to_hsv(r, g, b)
+            sat = min(sat * sat_factor, 1.0)
+            val = min(val * val_factor, 1.0)
+            r2, g2, b2 = colorsys.hsv_to_rgb(hue, sat, val)
+            result[lbl] = f"#{int(r2*255):02X}{int(g2*255):02X}{int(b2*255):02X}"
+        except Exception:
+            result[lbl] = hex_color
+    return result
+
+
 def build_fig_sunburst(df5, catTypeColors, speaker_color_map, get_display_name_fn, currFile):
     """Sunburst voice-category chart."""
     df5 = df5.copy()
     df5["labels"]      = df5["labels"].apply(lambda s: get_display_name_fn(s, currFile))
     df5["parentNames"] = df5["parentNames"].apply(lambda s: get_display_name_fn(s, currFile))
 
-    color_map = _voice_color_map(df5["labels"], speaker_color_map)
+    # Dim colors to match the visual brightness of bar/timeline charts
+    color_map = _dim_color_map(_voice_color_map(df5["labels"], speaker_color_map))
 
     fig = px.sunburst(
         df5,