Update app.py

app.py

@@ -49,16 +49,16 @@ def user_report():
   number_of_days_company = st.sidebar.number_input("Enter the number of days Associaed with company",step=1)
 
   user_report_data = {
-      'gender':gender,
-      'age':age,
-      'license':license,
-      'regioncode':regioncode,
-      'is_previously_insured': is_previously_insured,
-      'vechile_age':vechile_age,
-      'is_your_vechile_damaged':is_your_vechile_damaged,
-      'annual_premium': annual_premium,
-      'policy_sales_channel':policy_sales_channel,
-       'number_of_days_company' :number_of_days_company
+      'Gender':gender,
+      'Age':age,
+      'Driving_License':license,
+      'Region_Code':regioncode,
+      'Previously_Insured': is_previously_insured,
+      'Vehicle_Age':vechile_age,
+      'Vehicle_Damage':is_your_vechile_damaged,
+      'Annual_Premium': annual_premium,
+      'Policy_Sales_Channel':policy_sales_channel,
+      'Vintage':number_of_days_company
   }
   report_data = pd.DataFrame(user_report_data, index=[0])
   return report_data
@@ -150,17 +150,17 @@ def prediction():
         number_of_days_company = st.sidebar.number_input("Enter the number of days Associaed with company",step=1)
 
         user_report_data = {
-           'gender':gender,
-           'age':age,
-           'license':license,
-           'regioncode':regioncode,
-           'is_previously_insured': is_previously_insured,
-           'vechile_age':vechile_age,
-           'is_your_vechile_damaged':is_your_vechile_damaged,
-           'annual_premium': annual_premium,
-           'policy_sales_channel':policy_sales_channel,
-           'number_of_days_company' :number_of_days_company
-         }
+           'Gender':gender,
+           'Age':age,
+           'Driving_License':license,
+           'Region_Code':regioncode,
+           'Previously_Insured': is_previously_insured,
+           'Vehicle_Age':vechile_age,
+           'Vehicle_Damage':is_your_vechile_damaged,
+           'Annual_Premium': annual_premium,
+           'Policy_Sales_Channel':policy_sales_channel,
+           'Vintage':number_of_days_company
+        }
         report_data = pd.DataFrame(user_report_data, index=[0])
         st.write(report_data)
         #user_data = np.array(['gender','age','license','regioncode','is_previously_insured','vechile_age','is_your_vechile_damaged','annual_premium','policy_sales_channel','number_of_days_company',ndim=2])