Update app.py

app.py

@@ -52,7 +52,7 @@ with App:
   avg_transaction_value = st.slider('avg_transaction_value', 0,999999)
   avg_frequency_login_days = st.slider('avg_frequency_login_days', 0, 24)
   points_in_wallet = st.slider('points_in_wallet',0,9999999)
-  feedback = st.selectbox('membership',['No reason specified', 'Poor Customer Service','Poor Product Quality', 'Poor Website', 'Products always in Stock', 'Quality Customer Care','Reasonable Price', 'Too many ads', 'User Friendly Website'])
+  feedback = st.selectbox('feedback',['No reason specified', 'Poor Customer Service','Poor Product Quality', 'Poor Website', 'Products always in Stock', 'Quality Customer Care','Reasonable Price', 'Too many ads', 'User Friendly Website'])
 
   data = {
     'user_id': user_id,
@@ -68,10 +68,11 @@ with App:
   model_tf = tf.keras.models.load_model("model_best.hdf5")
   preprocess = joblib.load('full_pipeline.pkl')
   df = pd.read_csv('churn.csv')
+  result = preprocess.fit_transform(df)
   st.subheader('User Input')
   st.write(input)
   if st.button('Predict'):
-    process = preprocess.fit_transform(input)
+    process = preprocess.transform(input)
     prediction = model_tf.predict(process)
     if prediction == 1:
         prediction = 'Churn'