| import streamlit as st
|
|
|
| def run():
|
|
|
| from eda import run as eda_run
|
| from prediction_compile import run as prediction_run
|
|
|
|
|
| page = st.sidebar.selectbox(
|
| 'Select Page:',
|
| ('Exploratory Data Analysis (EDA)', 'Prediction')
|
| )
|
|
|
|
|
| if page == 'Exploratory Data Analysis (EDA)':
|
| eda_run()
|
| else:
|
| prediction_run()
|
|
|
|
|
| st.markdown(
|
| """
|
| <div style="text-align: center; color: gray; font-size: 12px; margin-top: 50px;">
|
| © 2025 Hana Antonio, Muhammad Revi Gilang Pradana, Zhaky B. Triaji. All rights reserved. <br>
|
| References: Dataset from <a href="https://www.kaggle.com" target="_blank" style="color: gray;">Kaggle</a>
|
| </div>
|
| """,
|
| unsafe_allow_html=True
|
| )
|
|
|
| if __name__ == "__main__":
|
| run()
|
|
|