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# import streamlit as st
# import pandas as pd
# from datasets import load_dataset
# import data
# import seaborn as sns
# import tabs.machine_learning as machine_learning
# import tabs.reinforcement_learning as reinforcement_learning
# import tabs.threshold_optimization as threshold_optimization
# st.set_page_config(layout="wide")
# st.write("# Algorithm")
# @st.cache_data(show_spinner=False)
# def load_labeled_data():
# dataset = load_dataset('skt-asap/labeled-dataset', data_files="Labeled.csv", token=data.token, streaming=True)
# return dataset
# with st.spinner("데이터 로딩 중..."):
# dataset = load_labeled_data()
# tab1, tab2, tab3 = st.tabs(["Threshold Optimization", "Machine Learning", "Reinforcement Learning"])
# with tab1:
# threshold_optimization.show()
# with tab2:
# machine_learning.show()
# with tab3:
# reinforcement_learning.show() |