Update app.py

app.py

@@ -3,7 +3,6 @@ import joblib
 import pandas as pd
 from scipy.stats import yeojohnson
 import inv_transform
-import math
 
 
 
@@ -137,8 +136,8 @@ with col2:
                 income = inv_transform.inv_yeojohnson(income, lambdas['fin_inc_tot_amt'])
                 reg_fees_inc = inv_transform.inv_yeojohnson(reg_fees_inc, lambdas['fin_inc_tot_amt'])
                 print(reg_fees_inc)
-                income = math.ceil(income / 1000) * 1000
-                reg_fees_inc = math.ceil(reg_fees_inc / 1000) * 1000
+                income = round(income / 1000) * 1000
+                reg_fees_inc = round(reg_fees_inc / 1000) * 1000
                 
                 exh_inc = 0
                 sponsor_inc = 0
@@ -159,19 +158,19 @@ with col2:
                 else:
                     sponsor_inc = min(50 * 3900, income - reg_fees_inc - exh_inc)
                 
-                sponsor_inc = math.ceil(sponsor_inc / 1000) * 1000
-                exh_inc = math.ceil(exh_inc / 1000) * 1000
+                sponsor_inc = round(sponsor_inc / 1000) * 1000
+                exh_inc = round(exh_inc / 1000) * 1000
                 other_inc = income - reg_fees_inc - exh_inc - sponsor_inc
                 reg_fees_inc = reg_fees_inc + other_inc
                 
                 
-                expenses =  math.ceil(income * 0.85 / 1000) * 1000
-                socl_funcs_exp = math.ceil(expenses * 0.54 / 1000) * 1000
-                local_arr_exp = math.ceil(expenses * 0.30 / 1000) * 1000
-                admintn_exp = math.ceil(expenses * 0.07 / 1000) * 1000
-                promo_exp = math.ceil(expenses * 0.04 / 1000) * 1000
+                expenses =  round(income * 0.85 / 1000) * 1000
+                socl_funcs_exp = round(expenses * 0.54 / 1000) * 1000
+                local_arr_exp = round(expenses * 0.30 / 1000) * 1000
+                admintn_exp = round(expenses * 0.07 / 1000) * 1000
+                promo_exp =round(expenses * 0.04 / 1000) * 1000
                 audit_exp = min(expenses*0.006, 6000)
-                audit_exp = math.ceil(audit_exp / 1000) * 1000
+                audit_exp = round(audit_exp / 1000) * 1000
                 other_exp = expenses - socl_funcs_exp - local_arr_exp - admintn_exp - promo_exp - audit_exp
                 
                 # Display results