updated vendor file scorings - auto fill blanks - exclude vendor 'no'

app.py

@@ -92,13 +92,15 @@ def load_vendor_files(zip_file_path):
         for file_name in os.listdir(temp_dir.name):
             if file_name.endswith(".xlsx"):
                 vendor_df_dict[file_name] = pd.read_excel(os.path.join(temp_dir.name, file_name))
+                vendor_df_dict[file_name] = vendor_df_dict[file_name][vendor_df_dict[file_name].iloc[:, 2] != 'No']  # Exclude rows with 'No' in the 3rd column
                 vendor_df_dict[file_name].iloc[:, 2] = vendor_df_dict[file_name].iloc[:, 2].apply(preprocess_text)
+                vendor_df_dict[file_name].iloc[:, 4].fillna('3 - Medium', inplace=True)
                 vendor_df_dict[file_name]['score_vendor'] = vendor_df_dict[file_name].iloc[:, 4].apply(parse_score).apply(float)
-
                 vendor_df_dict[file_name]['score_vendor'] = vendor_df_dict[file_name]['score_vendor'].fillna(0)
-                #vendor_df_dict[file_name].columns = ['ID', 'Topic', 'Vendor Question', 'Vendor Response', 'Vendor Score']
         temp_dir.cleanup()
 
+
+
 def process_file(client_file):
     zip_file_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'vendor_files.zip')
     load_vendor_files(zip_file_path)  # Load vendor files from zip file