src/Introduction.py

import streamlit as st

def introduction():

    # --- Sidebar ---
    st.sidebar.image("src/Amazon.png", use_container_width=True)
    st.sidebar.title("SalesBoost")
    st.sidebar.markdown("""
    **Team Members**
    - 👩‍🔬 Avisa Rahma Benedicta (Data Scientist)
    - 👨‍💻 Muhammad Farhan Hendriyanto (Data Engineer)
    - 👩‍🔬 Neila Ismahunnisa (Data Analyst)
    - 👩‍🔬 Sesilia Virdha Kezia (Data Scientist)            
    """)
    st.sidebar.markdown("""
    **Batch HCK-027** """)

    # --- Main Content ---
    st.title("🚀 SalesBoost Dashboard")
    st.markdown("""
    SalesBoost is a project aimed at increasing sales by addressing a declining trend through accurate forecasting.
    It combines **customer behavior clustering** to uncover actionable segments for more effective promotions.

    This app delivers two key features:
    - 📈 **Sales Forecast Deployment**
    - 👥 **Interactive Customer Dashboard**
    """)

    st.write("---")
    
    # --- Team ---
    st.title("Let's Meet Our Team")
    st.image("src/Team.jpg", use_container_width=True)

    st.write("---")

    # --- Sales Forecast Section ---
    st.header("📈 Predict Sales for the Next N Days")
    st.markdown("Slide the slider day and input quantity variables to generate sales forecasts.")

    st.write("---")

    # --- Customer Segmentation Section ---
    st.header("👥 Interactive Customer Clustering Dashboard")
    st.markdown("Explore customer behavior and segment patterns through clustering.")

    st.image("src/SalesBoost Overview Dashboard.png", caption="SalesBosst Overview Dashboard", use_container_width=True)

    st.write("---")

    st.image("src/SalesBoost Clustering.png", caption="SalesBosst After Clustering Dashboard", use_container_width=True)
    
    # Tombol untuk membuka Tableau
    tableau_url = "https://public.tableau.com/app/profile/muhammad.farhan.hendriyanto/viz/finalproject_17503214545810/DashboardSalesBoostAfterClustering?publish=yes"
    st.markdown(f"[🔗 Click here to open the dashboard in a new tab]({tableau_url})")

    st.info("Note: Due to Tableau Public's restrictions, this dashboard cannot be displayed directly in Streamlit.")
    st.write("---")

    # --- About Section ---
    st.header("ℹ️ About SalesBoost")
    st.markdown("""
    **Objective:**
    - Reverse the declining sales trend using intelligent forecasting and segmentation.

    **Methodology:**
    - Time Series Forecasting (SARIMAX)
    - Customer Clustering (K-Prototypes)
    - Dashboarding using Streamlit & Tableau

    **Deliverables:**
    - Forecast Deployment Page
    - Customer Segmentation Dashboard

    **Our Social Media:**
    - Instagram: 
        - @farhend_27 
        - @neilaism
        - @sesiliakezia
        - @avisarahmab_
        - @Rachman
    - Linkedin:
        - https://www.linkedin.com/in/muhammad-farhan-hendriyanto-48a0a320b/
        - https://www.linkedin.com/in/neila-ismahunnisa/
        - https://www.linkedin.com/in/sesilia-virdha-kezia-5922a736b/
        - https://www.linkedin.com/in/avisa-rahma-benedicta-7b354a200/
        - https://www.linkedin.com/in/rachman/
    ---
    """)

    st.markdown("---")
    st.markdown("### 🙏 Ikan hiu makan tomat \
                \
                Thank you for exploring with us! 🙏")
if __name__ == "__main__":
    introduction()