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streamlit_app.py

@@ -1,4 +1,3 @@
-%%writefile streamlit_app.py
 
 import streamlit as st
 import pandas as pd
@@ -81,4 +80,4 @@ if st.button("Predict"):
     prediction_proba = model.predict_proba(input_data)[0, 1]
     prediction = (prediction_proba >= classification_threshold).astype(int)
     result = "churn" if prediction == 1 else "not churn"
-    st.write(f"Based on the information provided, the customer is likely to {result}.")
+    st.write(f"Based on the information provided, the customer is likely to {result}.")