app.py

import pandas as pd
import numpy as np
import requests
import streamlit as st

st.title('Customer Churn Prediction Frontend')

st.subheader('Online Prediction')

CustomerId=st.number_input('CustomerId',min_value=10000,max_value=99999999)
Surname=st.text_input('Surname')
CreditScore=st.number_input('CreditScore',min_value=300,max_value=900,value=450)
Geography=st.selectbox('Geography',['France','Spain','Germany'])
Age=st.number_input('Age',min_value=18,max_value=100,value=30)
Tenure=st.number_input('Tenure',min_value=0,max_value=10,value=5)
Balance=st.number_input('Balance',min_value=0.00,max_value=99999.99,value=97198.54)
NumOfProducts=st.number_input('NumOfProducts',min_value=1,max_value=4,value=2)
HasCrCard=st.selectbox('HasCrCard',['Yes','No'])
IsActiveMember=st.selectbox('IsActiveMember',['Yes','No'])
EstimatedSalary=st.number_input('EstimatedSalary',min_value=10.00,max_value=999999.99)

input_data={'CreditScore':CreditScore,
            'Geography':Geography,
            'Age':Age,
            'Tenure':Tenure,
            'Balance':Balance,
            'NumOfProducts':NumOfProducts,
            'HasCrCard':1 if HasCrCard=='Yes' else 0,
            'IsActiveMember':1 if IsActiveMember=='Yes' else 0,
            'EstimatedSalary':EstimatedSalary
             }

if st.button('Predict'):  
  response=requests.post("https://siddhesh1981-CustomerChurnBackend.hf.space/Predict/Data",json=input_data)
  if response.status_code==200:
    result=response.json()
    st.success(f"Based on the given input information the Customer with id {CustomerId} and Surname {Surname} is expected to {result['predict_label']}")
  else:
    st.error(response.text)

st.subheader('Batch Prediction')

file2=st.file_uploader('Upload a csv file',type=['csv'])
if file2 is not None:
  if st.button('Predict Batch'):    
    response=requests.post("https://siddhesh1981-CustomerChurnBackend.hf.space/Predict/Batch",files={'file':file2})
    if response.status_code==200:
      result=response.json()
      st.subheader('Batch Prediction Result')
      st.success(result)
    else:
      st.error(response.text)