| | 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()
|
| |
|