prediksi.py

# Import libraries
import pickle
import json
import pandas as pd
import numpy as np
import streamlit as st

with open('best_estimator.pkl', 'rb') as file_1:
  best_estimator = pickle.load(file_1)

def run():
    with st.form(key = 'NBA Player Return Form'):
       
        Teamid = st.number_input('TEAM_ID', min_value=0, max_value=9999999999, value = 0, placeholder="Type a number...", help='Nomor Team')
        Seasonid = st.number_input('SEASON_ID', min_value=0, max_value=99999,value=0, placeholder="Type a number", help='Nomor Season')
        Conference = st.text_input('Name of Conference', value= 'West')
        Team = st.text_input('Name of Team', value= 'Phoenix')
        Game = st.number_input('Number of Games', min_value=0, value = None, placeholder="Type a number...", help='Berapa Game Dalam Season')
        Win = st.number_input('Number of Win', min_value=0, value = None, placeholder="Type a number...", help='Berapa Win Dalam Season')
        Loss = st.number_input('Number of Loss', min_value=0, value = None, placeholder="Type a number...", help='Berapa Loss Dalam Season')
        WinPercentage =  st.number_input('Win %', min_value=0.01, value = None, placeholder="Type a number...", help='Berapa Win %')
        submitted = st.form_submit_button('Predict')

    df_inf = {
        'TEAM_ID': Teamid, 
        'SEASON_ID': Seasonid, 
        'CONFERENCE': Conference, 
        'TEAM': Team, 
        'G': Game,
        'W': Win, 
        'L': Loss,
        'W_PCT': WinPercentage, 
        }
    df_inf = pd.DataFrame([df_inf])

    if submitted:
        pred = best_estimator.predict(df_inf)
        if pred == 1:
          st.write('Will Return')
        else:
          st.write('Will not Return')

if __name__ == '__main__':
  run()