Spaces:
Build error
Build error
File size: 3,204 Bytes
9cf7aeb 0cf27ba 9cf7aeb d759aef 9cf7aeb ad61cf9 0cf27ba ad61cf9 9cf7aeb 77d924b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | import pandas as pd
import numpy as np
import streamlit as st
import pickle
#load model
with open('best_pipeline.pkl', 'rb') as file:
model = pickle.load(file)
def run():
#set title
st.title('Student Performance')
st.write('---')
link_gambar = 'https://tse2.mm.bing.net/th?id=OIP.-i29HcwAtH6ZUfKAXVLYSQHaEK&pid=Api&P=0&h=220'
st.image(link_gambar, caption = 'source: google.com', use_container_width=True)
#deskripsi
st.write('This page contents prediction model that can predict student performance based on attributes required')
#buat form
with st.form(key='form parameters'):
jam_belajar = st.number_input('Hours Studied: ', min_value=0, max_value=44, value=8)
kehadiran = st.slider('Attendences: ', min_value=0, max_value=100, value=60)
keterlibatan_ortu = st.selectbox('Parental Involvement: ', ('Low','Medium', 'High'))
akses_sumber = st.selectbox('Access to Resources: ', ('Low','Medium', 'High'))
ekstrakurikuler = st.selectbox('Extracuriccular Activities: ', ('Yes', 'No'))
jam_tidur = st.slider('Sleep Hours: ', min_value=0, max_value=10, value=6)
nilai_sebelumnya = st.number_input('Previous Scores: ', min_value=0, max_value=100, value=70)
motivasi = st.selectbox('Motivation Level: ', ('Low','Medium', 'High'))
sesi_tutor = st.slider('Tutoring Sessions: ', min_value=0, max_value=8, value=0)
income = st.selectbox('Family Income: ', ('Low','Medium', 'High'))
kualitas_guru = st.selectbox('Teacher Quality: ', ('Low','Medium', 'High'))
sekolah = st.selectbox('School Type: ', ('Private', 'Public'))
pengaruh = st.selectbox('Peer Influence: ', ('Positive', 'Negative'))
aktivitas_fisik = st.slider('Physical Activity: ', min_value=0, max_value=6, value=3)
disabilitas = st.selectbox('Learning Disabilities: ', ('Yes', 'No'))
pendidikan_orang_tua = st.selectbox('Parental Educational Level: ', ('High School', 'College', 'Postgraduate'))
jarak = st.selectbox('Distances from Home: ', ('Near', 'Moderate', 'Far'))
submit=st.form_submit_button('Prediksi')
data_raw={'Hours_Studied': jam_belajar,
'Attendance': kehadiran,
'Parental_Involvement': keterlibatan_ortu,
'Access_to_Resources': akses_sumber,
'Extracurricular_Activities': ekstrakurikuler,
'Sleep_Hours': jam_tidur,
'Previous_Scores': nilai_sebelumnya,
'Motivation_Level': motivasi,
'Tutoring_Sessions': sesi_tutor,
'Family_Income': income,
'Teacher_Quality': kualitas_guru,
'School_Type': sekolah,
'Peer_Influence': pengaruh,
'Physical_Activity': aktivitas_fisik,
'Learning_Disabilities': disabilitas,
'Parental_Education_Level': pendidikan_orang_tua,
'Distance_from_Home': jarak
}
data = pd.DataFrame([data_raw])
st.dataframe(data)
if submit:
result = model.predict(data)
st.write(f'### Scores predicted: {result[0]:.2f}')
link_gambar = 'https://tse3.mm.bing.net/th?id=OIP.msh4Ra07_Lg4qsipBvRdLQHaEL&pid=Api&P=0&h=220'
st.image(link_gambar, caption = 'Education Moto', use_container_width=True)
if __name__ == '__main__':
run() |