import streamlit as st

# Sidebar for navigation
st.sidebar.title("🧭 Navigation")
option = st.sidebar.radio("Choose a module", ["Tips Dataset Explorer", "Tips Dataset Dashboard", "Basic Viewer"])

# Conditional loading based on sidebar selection
if option == "Tips Dataset Explorer":
    from pages import project_1

elif option == "Tips Dataset Dashboard":
    from pages import project_2

elif option == "Basic Viewer":
    import pandas as pd

    st.markdown("<h1 style='text-align: center; color: teal;'>📊 Tips Dataset Viewer</h1>", unsafe_allow_html=True)

    file = st.file_uploader("📁 Upload a CSV file", type=["csv"])
    if file is not None:
        df = pd.read_csv(file)

        st.markdown("### 🧾 Full DataFrame")
        st.dataframe(df)

        st.markdown("### 🔍 First 5 Rows")
        st.write(df.head())

        st.markdown("### 🔎 Last 5 Rows")
        st.write(df.tail())

        st.markdown("### 📚 Feature Types")
        categorical_cols = df.select_dtypes(include='object').columns.tolist()
        numerical_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()

        st.write("🟨 **Categorical Features:**", categorical_cols)
        st.write("🟦 **Numerical Features:**", numerical_cols)
    else:
        st.info("⬆️ Please upload a CSV file to get started.")