Use all metrics

app.py

@@ -64,7 +64,7 @@ tech_libraries = f"""
 - evaluate: {version("evaluate")}
 - pandas: {version("pandas")}
 - polars: {version("polars")}
-- polars_distance: {version("polars_distance")}
+- polars-distance: {version("polars_distance")}
 """.strip()
 
 
@@ -160,23 +160,28 @@ def process_file(file_name, _batch_mode, _calculate_distance, _calculate_metrics
         ]
 
         df = pl.DataFrame(df_pd)
-    elif _calculate_distance:
+    else:
+        fields = [
+            "prediction",
+            "reference",
+        ]
+
+    df = df.select(fields)
+
+    if _calculate_distance:
         df = df.with_columns(
             pld.col("prediction").dist_str.levenshtein("reference").alias("distance")
         )
 
+        # add distance to the first position
         fields = [
             "distance",
-            "prediction",
-            "reference",
-        ]
-    else:
-        fields = [
-            "prediction",
-            "reference",
+            *fields,
         ]
 
-    return df.select(fields)
+    df = df.select(fields)
+
+    return df
 
 
 demo = gr.Blocks(