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Churn_PredCls.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d940bc5d20ffc7a36a49b36263cb515bf9c6f57e49acf32d47f62656fb80dca1
+size 13895

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import joblib
+
+model = joblib.load('Churn_Pred/Churn_PredCls.joblib')
+
+gender = st.selectbox("Choose sex", ['Male', 'Female'])
+SeniorCitizen = st.sidebar.selectbox("SeniorCitizen", ['Yes', 'No'])
+Partner = st.sidebar.selectbox("Does he/she have partner?", ['Yes', 'No'])
+Dependents = st.sidebar.selectbox("Dependents", ['Yes', 'No'])
+tenure = st.slider("Choose tenure", 0, 100)
+PhoneService = st.sidebar.selectbox("PhoneService", ['Yes', 'No'])
+MultipleLines = st.sidebar.selectbox("MultipleLines", ['Yes', 'No'])
+InternetService = st.selectbox("InternetService", ['DSL', 'Fiber optic', 'No'])
+OnlineSecurity = st.sidebar.selectbox("OnlineSecurity", ['Yes', 'No'])
+OnlineBackup = st.sidebar.selectbox("OnlineBackup", ['Yes', 'No'])
+DeviceProtection = st.sidebar.selectbox("DeviceProtection", ['Yes', 'No'])
+TechSupport = st.sidebar.selectbox("TechSupport", ['Yes', 'No'])
+StreamingTV = st.sidebar.selectbox("StreamingTV", ['Yes', 'No'])
+StreamingMovies = st.sidebar.selectbox("StreamingMovies", ['Yes', 'No'])
+Contract = st.selectbox("Contract", ['Month-to-month', 'One year', 'Two year'])
+PaperlessBilling = st.sidebar.selectbox("PaperlessBilling", ['Yes', 'No'])
+PaymentMethod = st.selectbox("PaymentMethod", ['Electronic check', 'Mailed check', 'Bank transfer (automatic)', 'Credit card (automatic)'])
+MonthlyCharges = st.slider("MonthlyCharges", 0, 1000)
+TotalCharges = st.slider("TotalCharges", 0, 10000)
+
+columns =  ['gender', 'SeniorCitizen', 'Partner', 'Dependents', 'tenure',
+       'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity',
+       'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
+       'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod',
+       'MonthlyCharges', 'TotalCharges']
+
+rows = [gender, SeniorCitizen, Partner, Dependents, tenure,
+       PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup,
+       DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract,
+       PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges]
+
+def predict():
+    row = np.array(rows)
+    X = pd.DataFrame([row], columns = columns)
+    prediction = model.predict(X)
+    if prediction[0] == 1:
+        st.success('She/He will remain among the customers :thumbsup:')
+    else:
+        st.error('She/He will not remain among the customers :thumbsup:')
+
+trigger = st.button('Predict', on_click=predict)