Create app.py

app.py

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+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")
+
+col1= st.columns([1])
+
+with col1:
+     st.title('P2P Lending Deliquency')
+
+data= P2Pdeliquency.read_data()
+st.subheader('This is a Preview of the Data')
+
+st.dataframe(train_df.head(5))
+model = pickle.load(open('model.pkl', 'rb'))
+st.write("Model:  Ridge Regression")
+X_test_poly,model,y_test=train(data)
+y_pred=predict(X_test_poly,model,y_test)