app.py

# Import Library
import streamlit as st

# Import the created Streamlit Page
# import eda
import prediction

# Navigation button
navigasi = st.sidebar.selectbox(label='Select Page:', options=['Home Page', 'Prediction']) # 'Exploratory Data Analysis', 

# Looping for navigation
if navigasi == 'Home Page':
    st.markdown("<h1 style='text-align: center;'>Customer Churn Prediction</h1>", unsafe_allow_html=True) 
    st.image("https://miro.medium.com/v2/resize:fit:1358/0*dzmm3qresODlScte")
    st.caption("<p style='text-align: center;'>Source : Medium.com</p>", unsafe_allow_html=True)
    st.write('')
    st.write('**Author    : Salsa Sabitha Hurriyah**')
    st.write('**Classification Model for Predicting Customer Churn**') 
    st.caption('Please select another menu in the Select Box on the left of your screen to start!')

# # Displays the EDA page
# elif navigasi == 'Exploratory Data Analysis':
#     eda.run()

# Displays the Predict page
elif navigasi == 'Prediction':
    prediction.run()