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| """ | |
| Milestone 2 | |
| Nama: Qothrunnadaa Alyaa | |
| Batch: HCK-009 | |
| File ini digunakan untuk menjalankan model prediksi penggunaan kupon diskon | |
| """ | |
| import streamlit as st | |
| import pandas as pd | |
| import pickle | |
| # Membuat function untuk dipanggil di app.py | |
| def run(): | |
| st.title('Coupon Redemption Predictor') | |
| # Memasukkan besaran diskon menggunakan kupon | |
| coupon_discount = st.number_input(label='Discount from Coupon', min_value=0.00) | |
| # Memasukkan lamanya periode promo | |
| campaign_length = st.number_input(label='Promo Period (in Days)', min_value=0.00) | |
| # Memasukkan tanggal transaksi | |
| trx_day = st.number_input(label='Transaction Date', min_value=0.00) | |
| # Memasukkan tanggal mulai periode promosi | |
| start_day = st.number_input(label='Promotion Start Date', min_value=0.00) | |
| # Memasukkan tanggal berakhir periode promosi | |
| end_day = st.number_input(label='Promotion End Date', min_value=0.00) | |
| # Memasukkan tipe brand | |
| brand_type = st.selectbox(label='Brand Type', options=['Established','Local']) | |
| # Daftar kategori barang | |
| category_opt = ['Dairy, Juices & Snacks','Grocery','Seafood','Prepared Food','Packaged Meat','Meat', | |
| 'Pharmaceutical','Natural Products','Skin & Hair Care','Flowers & Plants','Garden', | |
| 'Travel','Miscellaneous','Bakery','Vegetables (cut)','Salads'] | |
| # Memasukkan kategori barang | |
| category = st.selectbox(label='Item Category', options=category_opt) | |
| # Memasukkan tipe campaign/promosi | |
| campaign_type = st.selectbox(label='Campaign Type', options=['Y','X']) | |
| # Daftar kelompok umur | |
| age_option = ['18-25','26-35','36-45','46-55','56-70','70+'] | |
| # Memasukkan kelompok umur pelanggan | |
| age_range = st.selectbox(label='Customer Age Range', options=age_option) | |
| # Memasukkan tingkat pendapatan pelanggan | |
| income_bracket = st.select_slider(label='Customer Income Bracket',options=[n for n in range(1,13)]) | |
| # Membuat data inference dari data yang dimasukkan | |
| data_inf = pd.DataFrame({ | |
| 'coupon_discount': coupon_discount, | |
| 'campaign_length': campaign_length, | |
| 'trx_day': trx_day, | |
| 'start_day': start_day, | |
| 'end_day': end_day, | |
| 'brand_type': brand_type, | |
| 'category': category, | |
| 'campaign_type': campaign_type, | |
| 'age_range': age_range, | |
| 'income_bracket': income_bracket | |
| }, index=[0]) | |
| # Menampilkan data | |
| st.header("Transaction Overview") | |
| st.table(data_inf) | |
| # Memprediksi apakah kupon akan digunakan atau tidak | |
| if st.button(label='Predict'): | |
| with open('model.pkl','rb') as model: | |
| model = pickle.load(model) | |
| y_pred_inf = model.predict(data_inf) | |
| if y_pred_inf == 0: | |
| st.write('Coupon was not redeemed.') | |
| else: | |
| st.write('Coupon was redeemed.') |