app.py

import streamlit as st
import streamlit.components.v1 as components
import pandas as pd
import pickle
import P2Pdeliquency
st.set_page_config(page_title="P2P Lending Deliquency", layout="wide")
data= P2Pdeliquency.read_data()
st.subheader('This is a Preview of the Data')

st.dataframe(data.head(5))
model = pickle.load(open('model.pickle', 'rb'))
st.write("Model:  Ridge Regression")
X_test_poly,model,y_test=P2Pdeliquency.train(data)
y_pred=P2Pdeliquency.predict(X_test_poly,model,y_test)
st.write("Predictions :", y_pred)