Deploy for milestone 2

app.py

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+# import library yang dibutuhkan
+import streamlit as st
+import pandas as pd
+import numpy  as np
+import joblib
+
+
+# load best model
+with open('catb_randcv.pkl','rb') as file_1:
+    catb_pipe = joblib.load(file_1)
+
+# Construct Data Infer
+# define semua fitur/kolom
+features = ['Gender','Customer Type','Age','Type of Travel','Class','Flight Distance',\
+    'Inflight wifi service','Departure/Arrival time convenient','Ease of Online booking',\
+        'Gate location','Food and drink','Online boarding','Seat comfort','Inflight entertainment',\
+            'On-board service','Leg room service','Baggage handling','Checkin service','Inflight service',\
+                'Cleanliness','Departure Delay in Minutes','Arrival Delay in Minutes']
+
+def infer(data_infer):
+    # predict result random forest model
+    y_pred_rf = catb_pipe.predict(data_infer)
+    return y_pred_rf 
+
+st.header("Prediksi Pasien Penderita Gagal Jantung")
+
+# artificial data infer
+gender_options              = ["Male", "Female"]
+gender                      = st.selectbox("Please input your gender: ", gender_options)
+customer_type_options       = ['Loyal Customer', 'disloyal Customer']
+customer_type               = st.selectbox("Which type of customer are you? ", customer_type_options)               
+age                         = st.slider("Please input your age: ",0,100)
+type_of_travel_options      = ['Personal Travel', 'Business travel']
+type_of_travel              = st.selectbox("Please input your type of travel: ", type_of_travel_options)
+class_options               = ['Eco', 'Eco Plus', 'Business']
+class_                      = st.selectbox("Please input your flight class: ", class_options)    
+flight_distance             = st.slider("Please input your flight distance: ",0,5000)
+wifi_service                = st.slider("Please input your wifi experience (0:lowest 5:highest): ",0,5)
+departure_arrival_conv      = st.slider("Please input your departure or arrival time convenience experience (0:lowest 5:highest): ",0,5)
+online_booking_exp          = st.slider("Please input your online booking experience (0:lowest 5:highest): ",0,5)
+gate_loc_exp                = st.slider("Please input your gate location  experience (0:lowest 5:highest): ",0,5)
+food_drinks_exp             = st.slider("Please input your food & drinks experience (0:lowest 5:highest): ",0,5)
+online_boarding_exp         = st.slider("Please input your online boarding experience (0:lowest 5:highest): ",0,5)
+seat_comfort_exp            = st.slider("Please input your seat comfort experience (0:lowest 5:highest): ",0,5)
+inflight_entertainment_exp  = st.slider("Please input your inflight entertainment experience (0:lowest 5:highest): ",0,5)
+on_board_svc_exp            = st.slider("Please input your on-board service experience (0:lowest 5:highest): ",0,5)
+leg_room_svc_exp            = st.slider("Please input your leg room service experience (0:lowest 5:highest): ",0,5)    
+baggage_handling_exp        = st.slider("Please input your baggage handling experience (0:lowest 5:highest): ",0,5)    
+checkin_svc_exp             = st.slider("Please input your check-in service experience (0:lowest 5:highest): ",0,5)    
+inflight_svc_exp            = st.slider("Please input your inflight service experience (0:lowest 5:highest): ",0,5)    
+cleanliness                 = st.slider("How do you rate our cleanliness? (0:lowest 5:highest): ",0,5)    
+depart_delay                = st.slider("Did you experience delay in your departure? if so please specify (in minutes): ",0,1500)
+arriv_delay                 = st.slider("Did you experience delay in your arrival? if so please specify (in minutes): ",0,1500)
+
+
+if st.button("Submit"):
+    D = {
+            'Gender':gender,
+            'Customer Type':customer_type,
+            'Age':age,
+            'Type of Travel':type_of_travel,
+            'Class':class_,
+            'Flight Distance':flight_distance,
+            'Inflight wifi service':wifi_service,
+            'Departure/Arrival time convenient':departure_arrival_conv,
+            'Ease of Online booking':online_booking_exp,
+            'Gate location':gate_loc_exp,
+            'Food and drink':food_drinks_exp,
+            'Online boarding':online_boarding_exp,
+            'Seat comfort':seat_comfort_exp,
+            'Inflight entertainment':inflight_entertainment_exp,
+            'On-board service':on_board_svc_exp,
+            'Leg room service':leg_room_svc_exp,
+            'Baggage handling':baggage_handling_exp,
+            'Checkin service':checkin_svc_exp,
+            'Inflight service':inflight_svc_exp,
+            'Cleanliness':cleanliness,
+            'Departure Delay in Minutes':depart_delay,
+            'Arrival Delay in Minutes':arriv_delay,  
+    }
+    
+    # construct data inference dalam dataframe
+    data_infer = pd.DataFrame(data=D,columns=features,index=[0])
+
+    #panggil fungsi inference
+    pred = infer(data_infer)
+
+
+    st.header(f"Prediction Result: ")
+    st.write("You are most likely " + pred[0] + " with your flight experience")
+

catb_randcv.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b752160f474c7529bf305e6bcd840f4b3026434be22e4986877d73bf46bb8d32
+size 3858296

requirements.txt

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+joblib==1.1.0
+numpy==1.21.5
+pandas==1.4.4
+scikit-learn==1.1.1
+