Update app.py

app.py

@@ -15,6 +15,13 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
     cyclomatic_complexity_split = cyclomatic_complexity_radio
 
     dataframes = []
+    script_path = os.path.abspath(__file__)
+
+    # 获取当前脚本所在的目录
+    script_dir = os.path.dirname(script_path)
+    
+    print("当前脚本文件的绝对路径:", script_path)
+    print("当前脚本文件所在的目录:", script_dir)
     if token_counts_split=="Equal Frequency Partitioning":
         token_counts_df = pd.read_csv(f"/dividing_into_different_subsets/{num_parts}/QS/token_counts_QS.csv")
         dataframes.append(token_counts_df)
@@ -31,7 +38,7 @@ def on_confirm(dataset_radio, num_parts_dropdown, token_counts_radio, line_count
         combined_df = dataframes[0]
         for df in dataframes[1:]:
             combined_df = pd.merge(combined_df, df, left_index=True, right_index=True, suffixes=('', '_y'))
-            combined_df = combined_df.loc[:, ~combined_df.columns.str.endswith('_y')]  # 去除重复的列
+            combined_df = combined_df.loc[:, ~combined_df.columns.str.endswith('_y')] 
         return combined_df
     else:
         return pd.DataFrame()
@@ -46,7 +53,6 @@ def execute_specified_python_files(directory_list, file_list):
             if os.path.isfile(file_path) and py_file.endswith('.py'):
                 print(f"Executing {file_path}...")
                 try:
-                    # 使用subprocess执行Python文件
                     subprocess.run(['python', file_path], check=True)
                     print(f"{file_path} executed successfully.")
                 except subprocess.CalledProcessError as e: