Update app.py

app.py

@@ -144,7 +144,7 @@ def calculate_selected_score_i2v(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)
-    for name in normalize_df.drop('Model Name (clickable)', axis=1):
+    for name in normalize_df.drop('Model Name (clickable)', axis=1).drop('Source', axis=1):
         normalize_df[name] = normalize_df[name]*DIM_WEIGHT[name]
     quality_score = normalize_df[QUALITY_LIST].sum(axis=1)/sum([DIM_WEIGHT[i] for i in QUALITY_LIST])
     semantic_score = normalize_df[SEMANTIC_LIST].sum(axis=1)/sum([DIM_WEIGHT[i] for i in SEMANTIC_LIST ])
@@ -199,7 +199,7 @@ def get_final_score_i2v(df, selected_columns):
 
 def get_final_score_quality(df, selected_columns):
     normalize_df = get_normalized_df(df)
-    for name in normalize_df.drop('Model Name (clickable)', axis=1):
+    for name in normalize_df.drop('Model Name (clickable)', axis=1).drop('Video-Text Camera Motion', axis=1):
         normalize_df[name] = normalize_df[name]*DIM_WEIGHT[name]
     quality_score = normalize_df[QUALITY_TAB].sum(axis=1) / sum([DIM_WEIGHT[i] for i in QUALITY_TAB])