Update app.py

app.py

@@ -38,7 +38,7 @@ def add_new_eval(
         model_name = model_name_textbox
     else:
         model_name = revision_name_textbox
-        model_name_list = csv_data['name']
+        model_name_list = csv_data['Model Name']
         name_list = [name.split(']')[0][1:] for name in model_name_list]
         if revision_name_textbox not in name_list:
             col = csv_data.shape[0]
@@ -65,7 +65,7 @@ def add_new_eval(
     return 0
 
 def get_normalized_df(df):
-    # final_score = df.drop('name', axis=1).sum(axis=1)
+    # final_score = df.drop('Model Name', axis=1).sum(axis=1)
     # df.insert(1, 'Overall Score', final_score)
     normalize_df = df.copy()
     for column in normalize_df.columns[1:]:
@@ -80,7 +80,7 @@ def calculate_selected_score(df, selected_columns):
 
 def get_final_score(df, selected_columns):
     normalize_df = get_normalized_df(df)
-    final_score = normalize_df.drop('name', axis=1).sum(axis=1)
+    final_score = normalize_df.drop('Model Name', axis=1).sum(axis=1)
     if 'Overall Score' in df:
         df['Overall Score'] = final_score
     else:
@@ -112,8 +112,8 @@ def get_all_df(selected_columns):
     return df
 
 def convert_scores_to_percentage(df):
-    # 对DataFrame中的每一列（除了'name'列）进行操作
-    for column in df.columns[1:]:  # 假设第一列是'name'
+    # 对DataFrame中的每一列（除了'Model Name'列）进行操作
+    for column in df.columns[1:]:  # 假设第一列是'Model Name'
         df[column] = round(df[column] * 100,2)  # 将分数转换为百分数
         df[column] = df[column].astype(str) + '%'
     return df