Update utils.py

utils.py

@@ -376,32 +376,13 @@ 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))
 
-    # Dim colors to match the visual brightness of bar/timeline charts
-    color_map = _dim_color_map(_voice_color_map(df5["labels"], speaker_color_map))
+    color_map = _voice_color_map(df5["labels"], speaker_color_map)
 
     fig = px.sunburst(
         df5,