update sort by

app.py

@@ -129,13 +129,15 @@ for col in original_df.columns:
         original_df[col] = original_df[col].apply(formatter) # For numerical values
  
 original_df.rename(columns=column_names, inplace=True)
-original_df.sort_values(by='Common Voice WER', inplace=True)
 
 # Compute delta between average WER and CV WER
 original_df['Detla Avg. C.V. WER'] = original_df['Average WER ⬇️'] - original_df['Common Voice WER ⬇️']
 original_df['Detla Avg. C.V. WER'] = pd.to_numeric(original_df['Detla Avg. C.V. WER'], errors='coerce') # Convert to numerical data type
 original_df['Detla Avg. C.V. WER'] = original_df[col].apply(lambda x: round(x, 2) if not pd.isna(x) else x) # Round and handle NaN values
 
+original_df.sort_values(by='Detla Avg. C.V. WER', inplace=True)
+
+
 COLS = [c.name for c in fields(AutoEvalColumn)]
 TYPES = [c.type for c in fields(AutoEvalColumn)]