Hi Data Professor,
I followed the instruction in the video tutorial, all went well until i load the model in the streamlit app. I get:

UnpicklingError: NEWOBJ class argument isn't a type object
Traceback:
File "c:\users\user-pc\appdata\local\programs\python\python37\lib\site-packages\streamlit\ScriptRunner.py", line 322, in _run_script
exec(code, module.dict)
File "C:\Users\user-pc\Desktop\ML Projects\Expresso_app.py", line 88, in
load_clf = pickle.load(open('expresso_churn_model.pkl', 'rb'))

Here's my code:

import streamlit as st
import pandas as pd
import pickle
import numpy as np
from xgboost import XGBClassifier

from PIL import Image
img = Image.open("logo2.jpg")
st.image(img)

st.sidebar.header('User Input features')

def user_input_features():
# REGION = st.sidebar.selectbox('REGION', ('DAKAR','DIOURBEL','FATICK','KAFFRINE','KAOLACK','KEDOUGOU','KOLDA','LOUGA','MATAM','SAINT-LOUIS','SEDHIOU','TAMBACOUNDA','THIES','ZIGUINCHOR'))
# TENURE = st.sidebar.selectbox('TENURE',('D 3-6 month',' E 6-9 month','F 9-12 month','G 12-15 month','H 15-18 month','I 18-21 month','J 21-24 month','K > 24 month'))
MONTANT = st.sidebar.slider('MONTANT', 2.0, 4.4, 3.4)
FREQUENCE_RECH = st.sidebar.slider('FREQUENCE_RECH', 0.1, 2.5, 0.2)
REVENUE = st.sidebar.slider('REVENUE', 0.1, 2.5, 0.2)
ARPU_SEGMENT = st.sidebar.slider('ARPU_SEGMENT', 0.1, 2.5, 0.2)
FREQUENCE = st.sidebar.slider('FREQUENCE', 0.1, 2.5, 0.2)
DATA_VOLUME = st.sidebar.slider('DATA_VOLUME', 0.1, 2.5, 0.2)
ON_NET = st.sidebar.slider('ON_NET', 0.1, 2.5, 0.2)
ORANGE = st.sidebar.slider('ORANGE', 0.1, 2.5, 0.2)
TIGO = st.sidebar.slider('TIGO', 0.1, 2.5, 0.2)
ZONE1 = st.sidebar.slider('ZONE1', 0.1, 2.5, 0.2)
ZONE2 = st.sidebar.slider('ZONE2', 0.1, 2.5, 0.2)
REGULARITY = st.sidebar.slider('REGULARITY', 0.1, 2.5, 0.2)
FREQ_TOP_PACK = st.sidebar.slider('FREQ_TOP_PACK', 0.1, 2.5, 0.2)
data = {
#'REGION': REGION,
#'TENURE': TENURE,
'MONTANT': MONTANT,
'FREQUENCE_RECH': FREQUENCE_RECH,
'REVENUE': REVENUE,
'ARPU_SEGMENT': ARPU_SEGMENT,
'FREQUENCE': FREQUENCE,
'DATA_VOLUME': DATA_VOLUME,
'ON_NET': ON_NET,
'ORANGE': ORANGE,
'TIGO': TIGO,
'ZONE1': ZONE1,
'ZONE2': ZONE2,
'REGULARITY': REGULARITY,
'FREQ_TOP_PACK': FREQ_TOP_PACK
}
features = pd.DataFrame(data, index=[0])
return features

df = user_input_features()

#The Code below is what gives me the error
load_clf = pickle.load(open('expresso_churn_model.pkl', 'rb'))