clean

app.py

@@ -10,7 +10,7 @@ from mlxtend.plotting import plot_confusion_matrix
 import streamlit.components.v1 as components
 from PIL import Image
 
-st.set_page_config(page_title="Customer Churn Prediction Model", layout="wide") # , layout="wide"
+st.set_page_config(page_title="Customer Churn Prediction Model", layout="wide")
 
 col1,col2 = st.columns([1,2])
 
@@ -72,7 +72,6 @@ elif option3 == 'PandasProfiling':
      with st.expander("See Report"):
           components.html(source_code, height=600, scrolling=True)
 
-
 model_names = [
      "Logistic_Regression",
      "Support_Vector_Machine",