auto select when only one grouping available

app.py

@@ -80,6 +80,9 @@ def fetch_groups(base_folder, datasets, old_groups, type="intersection"):
         value = list(set.intersection(new_choices, {old_groups}))
         value = value[0] if value else None
 
+    if not value and len(new_choices) == 1:
+        value = list(new_choices)[0]
+
     # now take the intersection of all grups
     return gr.update(choices=sorted(list(new_choices)), value=value)
 
@@ -100,6 +103,9 @@ def fetch_metrics(base_folder, datasets, group, old_metrics, type="intersection"
         value = list(set.intersection(new_possibles_choices, {old_metrics}))
         value = value[0] if value else None
 
+    if not value and len(new_possibles_choices) == 1:
+        value = list(new_possibles_choices)[0]
+
     return gr.update(choices=sorted(list(new_possibles_choices)), value=value)
 
 
@@ -503,7 +509,7 @@ The data might not be 100% representative, due to the sampling and optimistic me
         outputs=grouping_dropdown,
     )
 
-    grouping_dropdown.select(
+    grouping_dropdown.change(
         fn=fetch_metrics,
         inputs=[base_folder, datasets_selected, grouping_dropdown, metric_name_dropdown],
         outputs=metric_name_dropdown,