Create app.py

app.py

@@ -0,0 +1,68 @@
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import streamlit as st 
+import pickle 
+
+st.title("Health Insurance Cross Sell Prediction")
+st.sidebar.header('Customer Data')
+
+df = pd.read_csv('health_insurance.csv')
+
+
+# FUNCTION
+def user_report():
+  gender = st.sidebar.selectbox("Gender",
+        ("Male", "Female" ))
+  if gender=='Female':
+      gender=0
+  else:
+      gender=1
+  age = st.sidebar.slider('Age of Customer', 20,85, 28 )
+  license = st.sidebar.selectbox('has Driving_License?', ("YES","NO") )
+  if license=='NO':
+      license=0
+  else:
+      license=1
+  regioncode = st.sidebar.number_input('Enter the Region Code (any number between 0 to 52 )',min_value=0,max_value=52,step=1)
+  is_previously_insured = st.sidebar.selectbox('is_previously_insured', ("YES","NO") )
+  if is_previously_insured=='YES':
+      is_previously_insured=1
+  else:
+      is_previously_insured=0
+  vechile_age = st.sidebar.selectbox('Vechile Age',('<1 year','1-2 year','>2 years'))
+  if vechile_age=='1-2 year':
+      vechile_age=0
+  elif vechile_age=='<1 year':
+      vechile_age=1
+  else:
+      vechile_age=2
+  is_your_vechile_damaged = st.sidebar.selectbox('Is your Vechile Damaged',("YES","NO"))
+  if is_your_vechile_damaged =='NO':
+      is_your_vechile_damaged=0
+  else:
+      is_your_vechile_damaged=1
+  annual_premium = st.sidebar.slider('Enter Annjual premium you pay', 2000,60000, 5000 )
+  policy_sales_channel= st.sidebar.number_input("Policy Sales Channel(Enter any number between 1 to 160)",step =1,min_value=1,max_value=160)
+  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
+  }
+  report_data = pd.DataFrame(user_report_data, index=[0])
+  return report_data
+
+
+#Customer Data
+user_data = user_report()
+print(user_data)