Update app.py

app.py

@@ -142,16 +142,8 @@ with tab2:
                             flex_file.rename(columns={"Own": "Proj DK Own%"}, inplace = True)
                             flex_file['name_var'] = flex_file['Player']
                             flex_file['lock'] = flex_file['Player'].isin(lock_player)*1
-                            flex_file['force_group_1'] = flex_file['Player'].isin(force_group_1)*1
-                            flex_file['force_group_2'] = flex_file['Player'].isin(force_group_2)*1
-                            flex_file['cut_group_1'] = flex_file['Player'].isin(cut_group_1)*1
-                            flex_file['cut_group_2'] = flex_file['Player'].isin(cut_group_2)*1
-                            chalk_file = flex_file.sort_values(by='Proj DK Own%', ascending=False)
-                            chalk_group_df = chalk_file.sample(n=5)
-                            chalk_group = chalk_group_df['Player'].tolist()
-                            flex_file['chalk_group'] = flex_file['Player'].isin(chalk_group)*1
                             flex_file['Pos'] = 'G'
-                            flex_file = flex_file[['Player', 'name_var', 'Pos', 'Salary', 'Median', 'Proj DK Own%', 'lock', 'force_group_1', 'force_group_2', 'cut_group_1', 'cut_group_2', 'chalk_group', 'LevX']]
+                            flex_file = flex_file[['Player', 'name_var', 'Pos', 'Salary', 'Median', 'Proj DK Own%', 'lock', 'LevX']]
                             if x > 1:
                                 if slack_var > 0:
                                     flex_file['randNumCol'] = np.random.randint(-int(slack_var),int(slack_var), flex_file.shape[0])