Update app.py

app.py

@@ -36,7 +36,7 @@ def add_new_eval(
     submission_repo.git_pull()
     filename = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
     now = datetime.datetime.now()
-    with open(f'{filename}.zip','wb') as f:
+    with open(f'SUBMISSION_NAME/{filename}.zip','wb') as f:
         f.write(input_file)
     # shutil.copyfile(CSV_DIR, os.path.join(SUBMISSION_NAME, f"{input_file}"))
 
@@ -67,9 +67,12 @@ def add_new_eval(
     for file in os.listdir(filename):
         with open(os.path.join(filename, file)) as ff:
             cur_json = json.load(ff)
+            print(file, type(cur_json))
             if isinstance(cur_json, dict):
+                print(cur_json.keys())
                 for key in cur_json:
                     upload_data[key] = cur_json[key][0]
+                    print(f"{key}:{cur_json[key][0]}")
     # add new data
     new_data = [
         model_name
@@ -82,6 +85,7 @@ def add_new_eval(
     csv_data.loc[col] = new_data
     csv_data = csv_data.to_csv(CSV_DIR, index=False)
     submission_repo.push_to_hub()
+    print("success update", model_name)
     return 0
 
 def get_normalized_df(df):
@@ -133,7 +137,7 @@ def calculate_selected_score_i2v(df, selected_columns):
         return selected_i2v_score
     if selected_i2v_score.isna().any().any():
         return selected_quality_score
-    print(selected_i2v_score,selected_quality_score )
+    # print(selected_i2v_score,selected_quality_score )
     selected_score =  (selected_quality_score * I2V_QUALITY_WEIGHT + selected_i2v_score * I2V_WEIGHT) / (I2V_QUALITY_WEIGHT + I2V_WEIGHT)
     return selected_score.fillna(0.0)