app.py

# Importing required library
import streamlit as st


# title  of the  page
st.title("🔬Algo Labs Visualize  and Learn")


# Navigation : all the files are in algo_files folder
tab1, tab2, tab3= st.tabs(["Visualize Data","Supervised Learning", "Unsupervised Learning"])
with tab1:
    from algo_files.data_visualize import  visualize
    visualize()
with tab2:
    from  algo_files.supervised_learning import  supervised
    supervised()
with tab3:
    from  algo_files.unsupervised_learning import  unsupervised
    unsupervised()


# Sidebar : Data Uploading and Data Generation  
with st.sidebar:
    options = ["Upload Dataset", "Generate Dataset"]
    selected_option = st.radio("Choose your preferred option:", options, index=0)
    
    if selected_option == "Upload Dataset":
        uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
    elif selected_option == "Generate Dataset":
        no_of_sample = st.slider("No. of Samples",10,2000)
        no_of_feature = st.slider("No. of Features",2,20)
        noise_level= st.slider("Noise Level",0.00,50.00)
        no_of_class= st.text_input("No. of Classes")
        class_separation= st.slider("Class Separation",0.50,2.00)
        def my_callback():
            st.write("Data  Generated!")
        st.button("Generate Data", on_click=my_callback)




#Footer
st.markdown("""
<style>
.footer {
    position: fixed;
    left: 0;
    bottom: 0;
    width: 100%;
    background-color: #f0f2f6;
    color: black;
    text-align: right;
    padding: 10px;
    border-top: 1px solid #e0e0e0;
    height:50px;
}
</style>
<div class="footer">
    <p>© 2025 GGSOC❤️ </p>
</div>
""", unsafe_allow_html=True)