add more output column

main.py

@@ -155,7 +155,6 @@ async def predict(file: UploadFile = File(...)):
             sample_name_sentence_similarities,
         )
         df_predicted = nameMappingHelper.map_standard_names()
-
         # Create output dataframe and save to CSV - Fix SettingWithCopyWarning by creating a copy
         columns_to_keep = ["ファイル名", "シート名", "行", "科目", "名称"]
         output_df = inputData.dataframe[columns_to_keep].copy()
@@ -163,8 +162,10 @@ async def predict(file: UploadFile = File(...)):
         # Use .loc to avoid SettingWithCopyWarning
         output_df.loc[:, COL_STANDARD_SUBJECT] = df_predicted[COL_STANDARD_SUBJECT]
         output_df.loc[:, COL_STANDARD_NAME] = df_predicted[COL_STANDARD_NAME]
+        output_df.loc[:, "参考_名称"] = df_predicted["参考_名称"]
+        output_df.loc[:, "出力_名称_類似度"] = df_predicted["出力_名称_類似度"]
 
-        # Save with Shift-JIS encoding for Japanese Excel compatibility
+        # Save with utf_8_sig encoding for Japanese Excel compatibility
         output_df.to_csv(output_file_path, index=False, encoding="utf_8_sig")
 
         # Return the file as a download with correct content type and headers