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st_app.py
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st_app.py
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import streamlit as st
from Gaussian.gaussian_st import gaussian_regression
from Gaussian.l1_l2_st import regularization
from KDE.kde_st import kernel_density_estimation
def main():
page = st.sidebar.selectbox("Choose a Theme",\
["README", "Gaussian Regression",
"L1/L2 Regularization", "Kernel Density Estimation"])
if page == "Gaussian Regression":
gaussian_regression()
elif page == "L1/L2 Regularization":
regularization()
elif page == "Kernel Density Estimation":
kernel_density_estimation()
else:
st.title("Manufacturing Process Modeling")
st.header("Themes:")
st.markdown("* Gaussian Regression")
st.markdown("* L1/L2 Regularization")
st.markdown("* Kernel Density Estimation")
if __name__ == "__main__":
main()