Update app.py

app.py

@@ -61,10 +61,10 @@ if ok:
         X_new_df[col].replace({'Yes':1,'No':0},inplace=True)
     X_new_df['gender'].replace({'Female':1,'Male':0},inplace=True)
     churn = model.predict(X_new_df)
-if churn == 1:
-    st.subheader('yes')
-else:
-    st.subheader('no')
+    if churn == 1:
+        st.subheader('yes')
+    else:
+        st.subheader('no')