up

app.py

@@ -221,9 +221,6 @@ def regex_table(dataframe, regex, filter_button):
     # Filter the dataframe such that 'model' contains any of the regex patterns
     data = dataframe[dataframe["Model"].str.contains(combined_regex, case=False, na=False)]
 
-    # replace column '' with count/rank
-    data[''] = np.arange(1, 1 + len(data))
-
     # if update the score to not use prior sets, do so
     if update_scores:
         data["Score"] = (data["Chat"] + data["Chat Hard"] + data["Safety"] + data["Reasoning"]) / 4
@@ -231,6 +228,9 @@ def regex_table(dataframe, regex, filter_button):
         # sort array by Score column
         data = data.sort_values(by='Score', ascending=False)
 
+    # replace column '' with count/rank
+    data[''] = np.arange(1, 1 + len(data))
+
     # if Score exists, round to 2 decimals
     if "Score" in data.columns:
         data["Score"] = np.round(np.array(data["Score"].values).astype(float), 2)