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Commit Deployment Final
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import streamlit as st
import eda
import prediction
from streamlit_option_menu import option_menu
st.sidebar.header("HaiMeds Customer Churn Prediction")
with st.sidebar:
st.write("Ediashta Revindra - FTDS-020")
selected = option_menu(
"Menu",
[
"Distribution",
"Correlation Matrix",
"Regression",
],
icons=["bar-chart", "link-45deg", "code-square"],
menu_icon="cast",
default_index=0,
)
if selected == "Distribution":
eda.distribution()
elif selected == "Correlation Matrix":
eda.corr_matrix()
elif selected == "Regression":
prediction.predict()