app.py

"""
AI-Powered Marketing Automation & Lead Generation for SMEs
Main entry-point / Home page
"""
import streamlit as st
from utils.helpers import PHASE_DESCRIPTIONS, load_leads, load_bank

st.set_page_config(
    page_title="AI Marketing Automation – SME",
    page_icon="🚀",
    layout="wide",
    initial_sidebar_state="expanded",
)

# ── Custom CSS ────────────────────────────────────────────────────────────────
st.markdown("""
<style>
    .hero { background: linear-gradient(135deg, #1e3a5f 0%, #2d6a9f 100%);
            padding: 2.5rem 2rem; border-radius: 12px; margin-bottom: 1.5rem; color: white; }
    .hero h1 { font-size: 2.4rem; font-weight: 800; margin-bottom: 0.4rem; }
    .hero p  { font-size: 1.05rem; opacity: 0.9; }
    .phase-card { background: #f8faff; border: 1px solid #d1e0f5;
                  border-radius: 10px; padding: 1rem 1.2rem; margin-bottom: 0.6rem;
                  transition: box-shadow .2s; }
    .phase-card:hover { box-shadow: 0 4px 14px rgba(45,106,159,.15); }
    .phase-num { font-size: 1.7rem; font-weight: 800; color: #2d6a9f; }
    .phase-title { font-size: 1rem; font-weight: 700; color: #1e3a5f; }
    .phase-desc  { font-size: 0.85rem; color: #555; }
    .stat-box { background: #fff; border: 1px solid #e0e8f0; border-radius: 8px;
                padding: 1rem; text-align: center; }
    .stat-val  { font-size: 1.8rem; font-weight: 800; color: #2d6a9f; }
    .stat-lbl  { font-size: 0.8rem; color: #666; }
    [data-testid="stSidebar"] { background: #1e3a5f; }
    [data-testid="stSidebar"] * { color: #e8f0ff !important; }
</style>
""", unsafe_allow_html=True)

# ── Hero Banner ───────────────────────────────────────────────────────────────
st.markdown("""
<div class="hero">
  <h1>🚀 AI-Powered Marketing Automation</h1>
  <p>Lead Generation & Scoring Framework for Small and Medium Enterprises (SMEs)<br>
     <em>Bank Marketing Dataset (UCI) &nbsp;|&nbsp; Lead Scoring Dataset (Kaggle)</em></p>
</div>
""", unsafe_allow_html=True)

# ── Quick dataset stats ───────────────────────────────────────────────────────
with st.spinner("Loading datasets…"):
    leads = load_leads()
    bank  = load_bank()

c1, c2, c3, c4, c5, c6 = st.columns(6)
stats = [
    (f"{len(leads):,}",  "Lead Records"),
    (f"{leads.shape[1]}", "Lead Features"),
    (f"{leads['Converted'].mean()*100:.1f}%", "Lead Conv. Rate"),
    (f"{len(bank):,}",   "Bank Records"),
    (f"{bank.shape[1]}",  "Bank Features"),
    (f"{(bank['y']=='yes').mean()*100:.1f}%", "Bank Sub. Rate"),
]
for col, (val, lbl) in zip([c1,c2,c3,c4,c5,c6], stats):
    col.markdown(f'<div class="stat-box"><div class="stat-val">{val}</div>'
                 f'<div class="stat-lbl">{lbl}</div></div>', unsafe_allow_html=True)

st.markdown("---")

# ── Phase Overview ────────────────────────────────────────────────────────────
st.markdown("### 📋 Implementation Phases")
st.markdown("Navigate through each phase using the **sidebar** on the left.")

cols = st.columns(3)
for idx, (phase_num, (title, desc)) in enumerate(PHASE_DESCRIPTIONS.items()):
    with cols[idx % 3]:
        st.markdown(
            f'<div class="phase-card">'
            f'<span class="phase-num">Phase {phase_num}</span><br>'
            f'<span class="phase-title">{title}</span><br>'
            f'<span class="phase-desc">{desc}</span>'
            f'</div>',
            unsafe_allow_html=True,
        )

st.markdown("---")

# ── Research Goals Summary ────────────────────────────────────────────────────
with st.expander("📖 Research Goals & Background"):
    st.markdown("""
    **This system implements the research framework from:**
    > *AI-Powered Marketing Automation and Lead Generation for SMEs*

    #### Key Research Goals
    | Goal | Description |
    |------|-------------|
    | **G1 – Integrated AI Framework** | Combine classification, NLP, and conversational AI |
    | **G2 – Lead Scoring** | Evaluate LR, RF, XGBoost, LightGBM, SVM, MLP |
    | **G3 – Empirical Validation** | Benchmark on Kaggle Leads (~9k) & UCI Bank (~45k) |
    | **G4 – NLP Effectiveness** | Intent, sentiment, engagement signal extraction |
    | **G5 – Conversational AI** | Chatbot for 24/7 lead qualification |
    | **G6 – Ethics & Privacy** | Bias detection, GDPR compliance, explainability |
    | **G7 – ROI Analysis** | Quantify conversion uplift and cost savings |

    #### Datasets
    - **Leads Dataset** – EdTech platform, ~9,240 records, 37 features, 38.5% conversion rate
    - **Bank Marketing Dataset** – Portuguese bank, ~45,211 records, 17 features, 11.7% subscription rate
    """)

st.info("👈 **Use the sidebar to navigate between phases.** Start with **Phase 1 – Data Loading**.")