Delete app.py

app.py

@@ -1,1006 +0,0 @@
-import streamlit as st
-
-# ─────────────────────────────────────────────
-# REGMAP — AI System ID Card
-# ─────────────────────────────────────────────
-
-st.set_page_config(
-    page_title="RegMap — AI System ID Card",
-    page_icon="◈",
-    layout="centered",
-)
-
-# ── Visual Identity ──
-st.markdown("""
-<style>
-    @import url('https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap');
-    @import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&display=swap');
-
-    html, body, [class*="css"] { font-family: 'DM Sans', sans-serif; }
-    .stApp { background-color: #F7F8FA; }
-
-    /* ── Dark text override for HF Spaces dark mode ──
-       Excludes .rmh (RegMap Header) elements */
-    .stApp p:not(.rmh-el), .stApp span:not(.rmh-el), .stApp label,
-    .stApp h1, .stApp h2, .stApp h3, .stApp h4,
-    .stApp li, .stApp strong:not(.rmh-el), .stApp em,
-    [data-testid="stMarkdownContainer"] p:not(.rmh-el),
-    [data-testid="stMarkdownContainer"] h4,
-    [data-testid="stMarkdownContainer"] strong:not(.rmh-el),
-    [data-testid="stMarkdownContainer"] li {
-        color: #1E293B !important;
-    }
-
-    /* ── Header ── */
-    .rmh {
-        background: linear-gradient(135deg, #0F2B46 0%, #143A5C 60%, #0F2B46 100%);
-        padding: 2rem 2.2rem 1.6rem 2.2rem;
-        border-radius: 14px;
-        margin-bottom: 1.8rem;
-        position: relative;
-        overflow: hidden;
-        border: 1px solid rgba(255,255,255,0.04);
-    }
-    .rmh::before {
-        content: '';
-        position: absolute;
-        top: -50%; right: -20%;
-        width: 60%; height: 200%;
-        background: radial-gradient(ellipse, rgba(13,148,136,0.15) 0%, transparent 70%);
-        pointer-events: none;
-    }
-    .rmh::after {
-        content: '';
-        position: absolute;
-        bottom: 0; left: 0;
-        width: 100%; height: 1px;
-        background: linear-gradient(90deg, transparent, rgba(45,212,191,0.3), transparent);
-    }
-    .rmh-logo {
-        font-family: 'Space Grotesk', sans-serif !important;
-        font-size: 1.7rem !important; font-weight: 700 !important;
-        letter-spacing: -0.02em !important;
-        color: #FFFFFF !important;
-        margin: 0 !important; position: relative; z-index: 1;
-        line-height: 1.2 !important;
-    }
-    .rmh-accent { color: #2DD4BF !important; }
-    .rmh-tagline {
-        font-family: 'DM Sans', sans-serif !important;
-        color: #8BA3BB !important;
-        font-size: 0.82rem !important;
-        font-weight: 400 !important;
-        letter-spacing: 0.03em !important;
-        margin: 0.35rem 0 0 0 !important;
-        position: relative; z-index: 1;
-    }
-    .rmh-badges {
-        display: flex; gap: 0.45rem;
-        margin-top: 0.9rem;
-        position: relative; z-index: 1;
-    }
-    .rmh-badge {
-        background: rgba(45,212,191,0.08) !important;
-        border: 1px solid rgba(45,212,191,0.2) !important;
-        border-radius: 5px !important;
-        padding: 0.18rem 0.55rem !important;
-        font-family: 'Space Grotesk', sans-serif !important;
-        font-size: 0.68rem !important;
-        font-weight: 600 !important;
-        color: #5EEAD4 !important;
-        letter-spacing: 0.06em !important;
-        text-transform: uppercase !important;
-    }
-
-    /* ── Progress ── */
-    .progress-container {
-        background: #E2E8F0; border-radius: 8px;
-        height: 5px; margin-bottom: 0.4rem;
-    }
-    .progress-fill {
-        background: linear-gradient(90deg, #0D9488, #2DD4BF);
-        height: 5px; border-radius: 8px;
-        transition: width 0.4s ease;
-    }
-    .progress-label {
-        color: #64748B !important; font-size: 0.78rem;
-        font-weight: 500; margin-bottom: 1.5rem;
-    }
-
-    /* ── Screen title ── */
-    .screen-title {
-        font-family: 'Space Grotesk', sans-serif;
-        color: #0F2B46 !important; font-size: 1.15rem;
-        font-weight: 700; letter-spacing: -0.01em;
-        margin-bottom: 0.2rem;
-    }
-    .screen-subtitle {
-        color: #64748B !important; font-size: 0.82rem;
-        font-weight: 400; margin-bottom: 1.5rem;
-        line-height: 1.4;
-    }
-
-    /* ── Buttons ── */
-    .stButton > button {
-        font-family: 'DM Sans', sans-serif;
-        font-weight: 600; font-size: 0.85rem;
-        border-radius: 8px; padding: 0.45rem 1.5rem;
-        color: #FFFFFF !important;
-    }
-
-    /* ── Summary cards ── */
-    .summary-section {
-        background: #F8FAFB;
-        border: 1px solid #E2E8F0;
-        border-left: 3px solid #0D9488;
-        border-radius: 8px;
-        padding: 1rem 1.3rem;
-        margin-bottom: 0.8rem;
-    }
-    .summary-section h4 {
-        color: #0F2B46 !important;
-        font-family: 'Space Grotesk', sans-serif;
-        font-size: 0.88rem; font-weight: 700;
-        margin: 0 0 0.5rem 0;
-    }
-    .summary-section p {
-        color: #334155 !important; font-size: 0.85rem;
-        margin: 0.15rem 0; line-height: 1.5;
-    }
-
-    /* ── Widget spacing ── */
-    .stSelectbox, .stMultiSelect, .stTextInput, .stTextArea { margin-bottom: 0.6rem; }
-
-    /* ── Widget labels (belt-and-suspenders) ── */
-    .stSelectbox label, .stMultiSelect label, .stTextInput label, .stTextArea label,
-    .stRadio label, .stCheckbox label, .stSlider label {
-        color: #1E293B !important;
-    }
-    .stSelectbox label p, .stMultiSelect label p, .stTextInput label p, .stTextArea label p,
-    .stRadio label p, .stCheckbox label p, .stSlider label p {
-        color: #1E293B !important;
-    }
-    .stRadio div[role="radiogroup"] label p,
-    .stRadio div[role="radiogroup"] label span,
-    .stRadio div[role="radiogroup"] label,
-    [data-testid="stRadio"] label p,
-    [data-testid="stRadio"] label span,
-    [data-testid="stRadio"] label,
-    [data-testid="stWidgetLabel"] p,
-    [data-testid="stWidgetLabel"] span {
-        color: #1E293B !important;
-    }
-    .stMarkdown h4, .stMarkdown p:not(.rmh-el), .stMarkdown strong:not(.rmh-el), .stMarkdown em,
-    .stMarkdown li, .stMarkdown span:not(.rmh-el),
-    [data-testid="stMarkdownContainer"] span:not(.rmh-el) {
-        color: #1E293B !important;
-    }
-    .stAlert p, .stAlert span,
-    [data-testid="stAlert"] p,
-    [data-testid="stAlert"] span {
-        color: #1E293B !important;
-    }
-    [data-testid="stCaptionContainer"] p,
-    [data-testid="stCaptionContainer"] span {
-        color: #64748B !important;
-    }
-
-    /* ── Beta disclaimer ── */
-    .beta-disclaimer {
-        background: #FEF3C7;
-        border: 1px solid #F59E0B;
-        border-radius: 8px;
-        padding: 0.8rem 1rem;
-        margin-bottom: 1rem;
-        color: #92400E !important;
-        font-size: 0.82rem;
-        line-height: 1.5;
-    }
-    .beta-disclaimer strong { color: #92400E !important; }
-
-    /* ── Regulation banner ── */
-    .reg-banner {
-        background: linear-gradient(135deg, #0F2B46 0%, #143A5C 100%);
-        border: 1px solid rgba(45,212,191,0.2);
-        border-radius: 12px;
-        padding: 1.5rem 1.8rem;
-        margin: 1.5rem 0 1rem 0;
-    }
-    .reg-banner-title {
-        font-family: 'Space Grotesk', sans-serif !important;
-        font-size: 1rem !important;
-        font-weight: 700 !important;
-        color: #FFFFFF !important;
-        margin: 0 0 0.8rem 0 !important;
-    }
-    .reg-banner-list {
-        list-style: none !important;
-        padding: 0 !important;
-        margin: 0 0 1rem 0 !important;
-    }
-    .reg-banner-list li {
-        color: #E2E8F0 !important;
-        font-size: 0.85rem !important;
-        padding: 0.35rem 0 !important;
-        border-bottom: 1px solid rgba(255,255,255,0.06) !important;
-    }
-    .reg-banner-list li:last-child { border-bottom: none !important; }
-    .reg-tag {
-        display: inline-block !important;
-        background: rgba(45,212,191,0.15) !important;
-        color: #5EEAD4 !important;
-        font-size: 0.65rem !important;
-        font-weight: 600 !important;
-        padding: 0.1rem 0.4rem !important;
-        border-radius: 4px !important;
-        margin-right: 0.5rem !important;
-        vertical-align: middle !important;
-        letter-spacing: 0.03em !important;
-    }
-    .reg-banner-cta {
-        color: #E2E8F0 !important;
-        font-size: 0.9rem !important;
-        font-weight: 700 !important;
-        margin: 0.5rem 0 0 0 !important;
-    }
-    .reg-section-label {
-        color: #5EEAD4 !important;
-        font-size: 0.7rem !important;
-        font-weight: 700 !important;
-        letter-spacing: 0.08em !important;
-        text-transform: uppercase !important;
-        margin: 0.8rem 0 0.3rem 0 !important;
-        padding-top: 0.6rem !important;
-        border-top: 1px solid rgba(255,255,255,0.08) !important;
-    }
-    .reg-section-label-first {
-        color: #5EEAD4 !important;
-        font-size: 0.7rem !important;
-        font-weight: 700 !important;
-        letter-spacing: 0.08em !important;
-        text-transform: uppercase !important;
-        margin: 0 0 0.3rem 0 !important;
-        padding-top: 0 !important;
-        border-top: none !important;
-    }
-
-    /* ── Hide branding ── */
-    #MainMenu {visibility: hidden;}
-    footer {visibility: hidden;}
-    header {visibility: hidden;}
-</style>
-""", unsafe_allow_html=True)
-
-
-# ── Reference Data ──
-
-INDUSTRY_SECTORS = [
-    "Agriculture & Food", "Automotive & Transportation",
-    "Banking & Financial Services", "Construction & Real Estate",
-    "Consulting & Professional Services", "Defence & Security",
-    "Education & Training", "Energy & Utilities",
-    "Entertainment & Media", "Environmental Services",
-    "Government & Public Administration", "Healthcare & Life Sciences",
-    "Hospitality & Tourism", "Human Resources & Recruitment",
-    "Insurance", "Legal Services", "Logistics & Supply Chain",
-    "Manufacturing", "Mining & Natural Resources", "Non-Profit & NGO",
-    "Pharmaceuticals", "Retail & E-commerce", "Telecommunications",
-    "Technology & Software", "Other",
-]
-
-US_STATES = [
-    "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado",
-    "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho",
-    "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana",
-    "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota",
-    "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada",
-    "New Hampshire", "New Jersey", "New Mexico", "New York",
-    "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon",
-    "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota",
-    "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington",
-    "West Virginia", "Wisconsin", "Wyoming", "District of Columbia",
-]
-
-# States with specific AI regulation (for downstream analysis)
-US_STATES_WITH_AI_REGULATION = [
-    "California", "Colorado", "Connecticut", "Illinois", "Texas", "Utah",
-]
-
-EU_COUNTRIES = [
-    "Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czechia",
-    "Denmark", "Estonia", "Finland", "France", "Germany", "Greece",
-    "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg",
-    "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia",
-    "Slovenia", "Spain", "Sweden",
-    "Iceland (EEA)", "Liechtenstein (EEA)", "Norway (EEA)",
-]
-
-UAE_EMIRATES = [
-    "Dubai", "Abu Dhabi", "Sharjah", "Ajman",
-    "Fujairah", "Ras Al Khaimah", "Umm Al Quwain",
-]
-
-UAE_FREE_ZONES = {
-    "Dubai": ["DIFC", "DMCC", "JAFZA", "Dubai Internet City",
-        "Dubai Media City", "Dubai Silicon Oasis", "Dubai Healthcare City",
-        "Dubai Design District (d3)", "Dubai South", "Dubai Knowledge Park",
-        "DAFZA", "Dubai World Trade Centre", "Dubai Science Park",
-        "Dubai Textile City", "DUCAMZ", "Dubai Maritime City",
-        "Meydan Free Zone", "IFZA"],
-    "Abu Dhabi": ["ADGM", "KIZAD", "Masdar City", "ADAFZ",
-        "Khalifa Port Free Trade Zone", "Twofour54"],
-    "Sharjah": ["Sharjah Media City (Shams)", "SAIF Zone",
-        "Sharjah Publishing City", "Hamriyah Free Zone"],
-    "Ras Al Khaimah": ["RAKEZ", "RAK Maritime City", "RAK Media City"],
-    "Ajman": ["Ajman Free Zone"],
-    "Fujairah": ["Fujairah Free Zone", "Fujairah Creative City"],
-    "Umm Al Quwain": ["UAQ Free Trade Zone"],
-}
-
-ROLES = [
-    "Provider — You develop or commission the AI system",
-    "Deployer — You use an AI system in your operations (you did not build it)",
-    "Authorised Representative (EU) — You act on behalf of a non-EU provider to fulfill EU AI Act obligations",
-    "Importer (EU) — You place on the EU market an AI system from a non-EU provider",
-    "Distributor (EU) — You make an AI system available on the EU market (neither provider nor importer)",
-]
-
-AI_TYPES = ["Machine Learning (ML)", "Generative AI (GenAI)", "Agentic AI", "Rule-based", "Hybrid"]
-
-DATA_TYPE_OPTIONS = [
-    "Personal data (name, email, ID)",
-    "Sensitive/special category data (health, race, religion, political, sexual orientation)",
-    "Biometric data",
-    "Children's data (<18)",
-    "Financial/credit data",
-    "Employment/HR data",
-    "Copyrighted content (text, images, audio, video)",
-    "Publicly available data only",
-    "No personal data",
-]
-
-TRAINING_SOURCES = ["Public web", "Licensed datasets", "Proprietary data", "User-generated content"]
-INVOLVEMENT_LEVELS = ["Fully automated", "Human-assisted", "Human decides"]
-
-ALL_COUNTRIES = [
-    "Afghanistan", "Albania", "Algeria", "Andorra", "Angola", "Argentina",
-    "Armenia", "Australia", "Austria", "Azerbaijan", "Bahrain", "Bangladesh",
-    "Belarus", "Belgium", "Bolivia", "Bosnia and Herzegovina", "Brazil",
-    "Brunei", "Bulgaria", "Cambodia", "Cameroon", "Canada", "Chile", "China",
-    "Colombia", "Costa Rica", "Croatia", "Cuba", "Cyprus", "Czechia",
-    "Denmark", "Dominican Republic", "Ecuador", "Egypt", "El Salvador",
-    "Estonia", "Ethiopia", "Finland", "France", "Georgia", "Germany",
-    "Ghana", "Greece", "Guatemala", "Honduras", "Hong Kong", "Hungary",
-    "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel",
-    "Italy", "Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kuwait",
-    "Latvia", "Lebanon", "Libya", "Liechtenstein", "Lithuania", "Luxembourg",
-    "Malaysia", "Malta", "Mexico", "Moldova", "Monaco", "Mongolia",
-    "Montenegro", "Morocco", "Mozambique", "Myanmar", "Nepal",
-    "Netherlands", "New Zealand", "Nicaragua", "Nigeria", "North Korea",
-    "North Macedonia", "Norway", "Oman", "Pakistan", "Panama",
-    "Paraguay", "Peru", "Philippines", "Poland", "Portugal", "Qatar",
-    "Romania", "Russia", "Rwanda", "Saudi Arabia", "Senegal", "Serbia",
-    "Singapore", "Slovakia", "Slovenia", "Somalia", "South Africa",
-    "South Korea", "Spain", "Sri Lanka", "Sudan", "Sweden", "Switzerland",
-    "Syria", "Taiwan", "Tanzania", "Thailand", "Tunisia", "Turkey",
-    "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom",
-    "United States", "Uruguay", "Uzbekistan", "Venezuela", "Vietnam",
-    "Yemen", "Zambia", "Zimbabwe",
-]
-
-
-# ── Session State ──
-
-TOTAL_SCREENS = 7
-
-if "screen" not in st.session_state:
-    st.session_state.screen = 1
-if "data" not in st.session_state:
-    st.session_state.data = {}
-
-
-def go_next():
-    if st.session_state.screen < TOTAL_SCREENS + 1:
-        st.session_state.screen += 1
-
-def go_back():
-    if st.session_state.screen > 1:
-        st.session_state.screen -= 1
-
-def go_to(n):
-    st.session_state.screen = n
-
-
-# ── Header ──
-st.markdown("""
-<div class="rmh">
-    <p class="rmh-logo rmh-el">Reg<span class="rmh-accent rmh-el">Map</span></p>
-    <p class="rmh-tagline rmh-el">Navigate AI regulation across jurisdictions</p>
-    <div class="rmh-badges">
-        <span class="rmh-badge rmh-el">&#127466;&#127482; EU</span>
-        <span class="rmh-badge rmh-el">&#127482;&#127480; US</span>
-        <span class="rmh-badge rmh-el">&#127462;&#127466; UAE</span>
-    </div>
-</div>
-""", unsafe_allow_html=True)
-
-# ── Progress ──
-current = st.session_state.screen
-progress_pct = min((current - 1) / TOTAL_SCREENS * 100, 100)
-screen_labels = {
-    1: "Screen 1/7 — AI System Identity",
-    2: "Screen 2/7 — Application Domain",
-    3: "Screen 3/7 — Company Location",
-    4: "Screen 4/7 — Geographic Scope",
-    5: "Screen 5/7 — Role in Value Chain",
-    6: "Screen 6/7 — Technology Profile",
-    7: "Screen 7/7 — Data Profile",
-    8: "Summary",
-}
-label = screen_labels.get(current, "")
-
-st.markdown(f"""
-<div class="progress-container"><div class="progress-fill" style="width:{progress_pct}%"></div></div>
-<div class="progress-label">{label}</div>
-""", unsafe_allow_html=True)
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 1: AI System Identity
-# ═══════════════════════════════════════════════
-
-if current == 1:
-    st.markdown('<p class="screen-title">AI System ID Card</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Basic information about your AI system</p>', unsafe_allow_html=True)
-
-    st.markdown('<div class="beta-disclaimer"><strong>Beta version</strong> — This Space is public by default. We recommend not entering directly identifying data, especially in free text fields.</div>', unsafe_allow_html=True)
-
-    name = st.text_input(
-        "1.1 — AI system name",
-        value=st.session_state.data.get("name", ""),
-        placeholder="e.g. ResumeScreener, ChatAssist, FraudDetect",
-    )
-    description = st.text_area(
-        "1.2 — Brief description",
-        value=st.session_state.data.get("description", ""),
-        placeholder="Describe what your AI system does in 1-2 sentences",
-        height=100,
-    )
-
-    col1, col2 = st.columns([5, 1])
-    with col2:
-        if st.button("Next →", use_container_width=True, disabled=(not name.strip())):
-            st.session_state.data["name"] = name.strip()
-            st.session_state.data["description"] = description.strip()
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 2: Application Domain
-# ═══════════════════════════════════════════════
-
-elif current == 2:
-    st.markdown('<p class="screen-title">Application Domain</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Industry sectors where your AI system is used</p>', unsafe_allow_html=True)
-
-    prev_sector = st.session_state.data.get("sector", [])
-    sector = st.multiselect(
-        "2.1 — Industry sector(s) (select all that apply)",
-        INDUSTRY_SECTORS,
-        default=[s for s in prev_sector if s in INDUSTRY_SECTORS],
-    )
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("Next →", use_container_width=True, disabled=(not sector)):
-            st.session_state.data["sector"] = sector
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 3: Company Location
-# ═══════════════════════════════════════════════
-
-elif current == 3:
-    st.markdown('<p class="screen-title">Company Location</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Legal establishment of your organization</p>', unsafe_allow_html=True)
-
-    prev_base = st.session_state.data.get("company_base", None)
-    base_idx = ALL_COUNTRIES.index(prev_base) if prev_base in ALL_COUNTRIES else 0
-    company_base = st.selectbox(
-        "3.1 — Country of legal establishment",
-        ALL_COUNTRIES,
-        index=base_idx,
-        key="q_company_base",
-    )
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("Next →", use_container_width=True):
-            st.session_state.data["company_base"] = company_base
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 4: Geographic Scope
-# ═══════════════════════════════════════════════
-
-elif current == 4:
-    st.markdown('<p class="screen-title">Geographic Scope</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Countries where your AI system has a presence</p>', unsafe_allow_html=True)
-
-    prev_countries = st.session_state.data.get("operating_countries", [])
-    operating_countries = st.multiselect(
-        "4.1 — Countries where the AI system is deployed, distributed, or has end users (select all that apply)",
-        ALL_COUNTRIES,
-        default=[c for c in prev_countries if c in ALL_COUNTRIES],
-        key="q_operating_countries",
-    )
-
-    EU_COUNTRY_NAMES_CLEAN = [c.replace(" (EEA)", "") for c in EU_COUNTRIES]
-    selected_eu = [c for c in operating_countries if c in EU_COUNTRY_NAMES_CLEAN or c in ["Iceland", "Liechtenstein", "Norway"]]
-    has_us = "United States" in operating_countries
-    has_uae = "United Arab Emirates" in operating_countries
-
-    us_states = []
-    if has_us:
-        prev_states = st.session_state.data.get("us_states", [])
-        us_states = st.multiselect(
-            "4.2 — US states (select all that apply)",
-            US_STATES,
-            default=[s for s in prev_states if s in US_STATES],
-            key="q_us_states",
-        )
-
-    uae_emirates = []
-    if has_uae:
-        prev_emirates = st.session_state.data.get("uae_emirates", [])
-        uae_emirates = st.multiselect(
-            "4.3 — UAE emirates (select all that apply)",
-            UAE_EMIRATES,
-            default=[e for e in prev_emirates if e in UAE_EMIRATES],
-            key="q_uae_emirates",
-        )
-
-    # 4.4 — UAE free zones (if Dubai or Abu Dhabi selected)
-    uae_free_zones = []
-    emirates_with_fz = [e for e in uae_emirates if e in UAE_FREE_ZONES]
-    if emirates_with_fz:
-        available_fz = []
-        for em in emirates_with_fz:
-            available_fz.extend(UAE_FREE_ZONES[em])
-        prev_fz = st.session_state.data.get("uae_free_zones", [])
-        uae_free_zones = st.multiselect(
-            "4.4 — UAE free zones (select all that apply, or leave empty if none)",
-            available_fz,
-            default=[f for f in prev_fz if f in available_fz],
-            key="q_uae_free_zones",
-        )
-
-    can_proceed = len(operating_countries) > 0
-    if has_us and not us_states:
-        can_proceed = False
-    if has_uae and not uae_emirates:
-        can_proceed = False
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("Next →", use_container_width=True, disabled=(not can_proceed)):
-            st.session_state.data["operating_countries"] = operating_countries
-            st.session_state.data["us_states"] = us_states if has_us else []
-            st.session_state.data["us_states_with_regulation"] = [s for s in us_states if s in US_STATES_WITH_AI_REGULATION] if has_us else []
-            st.session_state.data["eu_countries"] = selected_eu
-            st.session_state.data["uae_emirates"] = uae_emirates if has_uae else []
-            st.session_state.data["uae_free_zones"] = uae_free_zones if has_uae else []
-            regions = []
-            if has_us:
-                regions.append("United States")
-            if selected_eu:
-                regions.append("Europe")
-            if has_uae:
-                regions.append("UAE")
-            st.session_state.data["regions"] = regions
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 5: Role in Value Chain
-# ═══════════════════════════════════════════════
-
-elif current == 5:
-    st.markdown('<p class="screen-title">Role in Value Chain</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Your organization\'s position in the AI value chain</p>', unsafe_allow_html=True)
-
-    prev_roles = st.session_state.data.get("roles", [])
-    roles = st.multiselect(
-        "5.1 — Organization's role (select all that apply)",
-        ROLES,
-        default=[r for r in prev_roles if r in ROLES],
-        key="q_roles",
-    )
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("Next →", use_container_width=True, disabled=(not roles)):
-            st.session_state.data["roles"] = roles
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 6: Technology Profile
-# ═══════════════════════════════════════════════
-
-elif current == 6:
-    st.markdown('<p class="screen-title">Technology Profile</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Technical characteristics of your AI system</p>', unsafe_allow_html=True)
-
-    # 6.1 AI type
-    prev_type = st.session_state.data.get("ai_type", AI_TYPES[0])
-    type_idx = AI_TYPES.index(prev_type) if prev_type in AI_TYPES else 0
-    ai_type = st.selectbox("6.1 — AI system type", AI_TYPES, index=type_idx, key="q_ai_type")
-
-    # 6.2 Model type
-    MODEL_TYPES = [
-        "Foundation model — general-purpose, trained on broad data (e.g. GPT, Claude, Llama)",
-        "Fine-tuned model — adapted from a foundation model for specific tasks",
-        "Task-specific model — built and trained for a single purpose",
-    ]
-    prev_model = st.session_state.data.get("model_type", MODEL_TYPES[2])
-    model_idx = MODEL_TYPES.index(prev_model) if prev_model in MODEL_TYPES else 2
-    model_type = st.selectbox("6.2 — Model type", MODEL_TYPES, index=model_idx, key="q_model_type")
-
-    # 6.3 Capabilities
-    CAPABILITY_OPTIONS = [
-        "Interacts directly with end users",
-        "Makes or supports decisions that affect individuals",
-        "Profiles individuals (builds user profiles based on behavior, preferences, or characteristics)",
-        "Generates synthetic content (text, images, audio, video, code)",
-        "Performs emotion recognition",
-    ]
-    prev_caps = st.session_state.data.get("capabilities", [])
-    capabilities = st.multiselect(
-        "6.3 — Capabilities (select all that apply)",
-        CAPABILITY_OPTIONS,
-        default=[c for c in prev_caps if c in CAPABILITY_OPTIONS],
-        key="q_capabilities",
-    )
-
-    # 6.4 Human involvement — always shown
-    prev_involvement = st.session_state.data.get("human_involvement", "N/A")
-    INVOLVEMENT_WITH_NA = ["N/A — no decisions affecting individuals", "Fully automated", "Human-assisted", "Human decides"]
-    if prev_involvement in INVOLVEMENT_LEVELS:
-        inv_idx = INVOLVEMENT_WITH_NA.index(prev_involvement)
-    else:
-        inv_idx = 0
-    human_involvement = st.selectbox(
-        "6.4 — Human involvement in decisions",
-        INVOLVEMENT_WITH_NA,
-        index=inv_idx,
-        key="q_involvement",
-    )
-
-    # 6.5 Synthetic content types — always shown
-    SYNTHETIC_TYPES = ["Text", "Images", "Audio", "Video", "Code"]
-    prev_content = st.session_state.data.get("synthetic_content", [])
-    synthetic_content = st.multiselect(
-        "6.5 — Synthetic content types (select all that apply)",
-        SYNTHETIC_TYPES,
-        default=[s for s in prev_content if s in SYNTHETIC_TYPES],
-        key="q_content",
-    )
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("Next →", use_container_width=True):
-            st.session_state.data["ai_type"] = ai_type
-            st.session_state.data["model_type"] = model_type
-            st.session_state.data["gpai"] = model_type.startswith("Foundation model")
-            st.session_state.data["capabilities"] = capabilities
-            st.session_state.data["direct_interaction"] = "Interacts directly with end users" in capabilities
-            st.session_state.data["decision_making"] = "Makes or supports decisions that affect individuals" in capabilities
-            st.session_state.data["profiling"] = "Profiles individuals (builds user profiles based on behavior, preferences, or characteristics)" in capabilities
-            is_decision = "Makes or supports decisions that affect individuals" in capabilities
-            st.session_state.data["human_involvement"] = human_involvement if is_decision and not human_involvement.startswith("N/A") else "N/A"
-            is_synthetic = "Generates synthetic content (text, images, audio, video, code)" in capabilities
-            st.session_state.data["synthetic_content"] = synthetic_content if is_synthetic else []
-            st.session_state.data["emotion_recognition"] = "Performs emotion recognition" in capabilities
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 7: Data Profile
-# ═══════════════════════════════════════════════
-
-elif current == 7:
-    st.markdown('<p class="screen-title">Data Profile</p>', unsafe_allow_html=True)
-    st.markdown('<p class="screen-subtitle">Data processed and training sources</p>', unsafe_allow_html=True)
-
-    prev_data_types = st.session_state.data.get("data_types", [])
-    selected_data_types = st.multiselect(
-        "7.1 — Data types processed (select all that apply)",
-        DATA_TYPE_OPTIONS,
-        default=[dt for dt in prev_data_types if dt in DATA_TYPE_OPTIONS],
-    )
-
-    st.divider()
-
-    prev_sources = st.session_state.data.get("training_sources", [])
-    training_sources = st.multiselect(
-        "7.2 — Training data sources (select all that apply)",
-        TRAINING_SOURCES,
-        default=[s for s in prev_sources if s in TRAINING_SOURCES],
-    )
-
-    col1, col2, col3 = st.columns([1, 3, 1])
-    with col1:
-        if st.button("← Back", use_container_width=True):
-            go_back()
-            st.rerun()
-    with col3:
-        if st.button("View Summary →", use_container_width=True, disabled=(not selected_data_types)):
-            st.session_state.data["data_types"] = selected_data_types
-            st.session_state.data["training_sources"] = training_sources
-            go_next()
-            st.rerun()
-
-
-# ═══════════════════════════════════════════════
-# SCREEN 8: Summary
-# ═══════════════════════════════════════════════
-
-elif current == 8:
-    d = st.session_state.data
-
-    st.markdown('<p class="screen-title">AI System ID Card — Summary</p>', unsafe_allow_html=True)
-    st.markdown(f'<p class="screen-subtitle">Review your inputs for <strong>{d.get("name", "")}</strong></p>', unsafe_allow_html=True)
-
-    # Identity
-    st.markdown(f'<div class="summary-section"><h4>AI System Identity</h4><p><strong>Name:</strong> {d.get("name", "—")}</p><p><strong>Description:</strong> {d.get("description", "—") or "—"}</p></div>', unsafe_allow_html=True)
-
-    # Domain
-    sectors = d.get("sector", [])
-    sectors_display = ", ".join(sectors) if sectors else "—"
-    st.markdown(f'<div class="summary-section"><h4>Application Domain</h4><p><strong>Sector(s):</strong> {sectors_display}</p></div>', unsafe_allow_html=True)
-
-    # Geography
-    geo_lines = f'<p><strong>Company base:</strong> {d.get("company_base", "—")}</p>'
-    op_countries = d.get("operating_countries", [])
-    if op_countries:
-        geo_lines += f'<p><strong>Countries:</strong> {", ".join(op_countries)}</p>'
-    if d.get("us_states"):
-        regulated = d.get("us_states_with_regulation", [])
-        non_regulated = [s for s in d["us_states"] if s not in regulated]
-        geo_lines += f'<p><strong>US states:</strong> {", ".join(d["us_states"])}</p>'
-        if regulated:
-            geo_lines += f'<p><strong>States with AI regulation:</strong> {", ".join(regulated)}</p>'
-        if non_regulated:
-            geo_lines += f'<p><strong>States without specific AI regulation:</strong> {", ".join(non_regulated)}</p>'
-    if d.get("eu_countries"):
-        geo_lines += f'<p><strong>EU/EEA countries detected:</strong> {", ".join(d["eu_countries"])}</p>'
-    if d.get("uae_emirates"):
-        geo_lines += f'<p><strong>UAE emirates:</strong> {", ".join(d["uae_emirates"])}</p>'
-    if d.get("uae_free_zones"):
-        geo_lines += f'<p><strong>UAE free zones:</strong> {", ".join(d["uae_free_zones"])}</p>'
-    st.markdown(f'<div class="summary-section"><h4>Geographic Scope</h4>{geo_lines}</div>', unsafe_allow_html=True)
-
-    # Roles
-    roles_display = ", ".join(d.get("roles", ["—"]))
-    st.markdown(f'<div class="summary-section"><h4>Role in Value Chain</h4><p>{roles_display}</p></div>', unsafe_allow_html=True)
-
-    # Technology
-    model_type_display = d.get("model_type", "—")
-    caps = d.get("capabilities", [])
-    caps_display = ", ".join(caps) if caps else "None selected"
-    synthetic = ", ".join(d.get("synthetic_content", [])) or "None"
-    involvement = d.get("human_involvement", "N/A")
-
-    tech_lines = f'<p><strong>AI type:</strong> {d.get("ai_type", "—")}</p>'
-    tech_lines += f'<p><strong>Model:</strong> {model_type_display}</p>'
-    tech_lines += f'<p><strong>Capabilities:</strong> {caps_display}</p>'
-    if d.get("decision_making"):
-        tech_lines += f'<p><strong>Human involvement in decisions:</strong> {involvement}</p>'
-    if d.get("synthetic_content"):
-        tech_lines += f'<p><strong>Synthetic content types:</strong> {synthetic}</p>'
-    st.markdown(f'<div class="summary-section"><h4>Technology Profile</h4>{tech_lines}</div>', unsafe_allow_html=True)
-
-    # Data
-    data_types_display = ", ".join(d.get("data_types", ["—"]))
-    sources_display = ", ".join(d.get("training_sources", ["—"]))
-    st.markdown(f'<div class="summary-section"><h4>Data Profile</h4><p><strong>Data types:</strong> {data_types_display}</p><p><strong>Training sources:</strong> {sources_display}</p></div>', unsafe_allow_html=True)
-
-    # ── Regulation detection ──
-    # Tuples: (region_tag, regulation_name, category)
-    # category: "ai" = AI-specific, "other" = related regulation
-    detected_regs = []
-
-    # Helper flags from ID card data
-    data_types = d.get("data_types", [])
-    sectors = d.get("sector", [])
-    roles = d.get("roles", [])
-    capabilities = d.get("capabilities", [])
-
-    personal_data_types = [
-        "Personal data (name, email, ID)",
-        "Sensitive/special category data (health, race, religion, political, sexual orientation)",
-        "Biometric data",
-        "Children's data (<18)",
-        "Financial/credit data",
-        "Employment/HR data",
-    ]
-    has_personal_data = any(dt in data_types for dt in personal_data_types)
-    has_copyrighted = "Copyrighted content (text, images, audio, video)" in data_types
-    has_biometric = "Biometric data" in data_types
-    has_financial_data = "Financial/credit data" in data_types
-    has_employment_data = "Employment/HR data" in data_types
-    has_children_data = "Children's data (<18)" in data_types
-    has_decision_making = d.get("decision_making", False)
-    has_direct_interaction = d.get("direct_interaction", False)
-    is_provider = any("Provider" in r for r in roles)
-    is_employment_sector = "Human Resources & Recruitment" in sectors
-    is_financial_sector = any(s in sectors for s in ["Banking & Financial Services", "Insurance"])
-    is_healthcare_sector = "Healthcare & Life Sciences" in sectors
-    is_education_sector = "Education & Training" in sectors
-    is_critical_sector = any(s in sectors for s in [
-        "Energy & Utilities", "Healthcare & Life Sciences", "Banking & Financial Services",
-        "Government & Public Administration", "Telecommunications", "Logistics & Supply Chain",
-    ])
-
-    # ── EU ──
-    company_base = d.get("company_base", "")
-    eu_countries = d.get("eu_countries", [])
-    EU_BASE_NAMES = [c.replace(" (EEA)", "") for c in EU_COUNTRIES]
-    has_eu = len(eu_countries) > 0 or company_base in EU_BASE_NAMES
-
-    if has_eu:
-        # AI-specific
-        detected_regs.append(("EU", "EU AI Act (Regulation 2024/1689)", "ai"))
-        if d.get("gpai", False):
-            detected_regs.append(("EU", "EU AI Act — GPAI Framework (Chapter V)", "ai"))
-        # Related
-        if has_personal_data:
-            detected_regs.append(("EU", "GDPR (Regulation 2016/679)", "other"))
-        if has_copyrighted:
-            detected_regs.append(("EU", "Copyright Directive (2019/790)", "other"))
-        if is_critical_sector:
-            detected_regs.append(("EU", "NIS2 Directive (2022/2555)", "other"))
-        if is_provider:
-            detected_regs.append(("EU", "Product Liability Directive (2024/2853)", "other"))
-        if has_decision_making:
-            detected_regs.append(("EU", "Equal Treatment Directives", "other"))
-        if has_direct_interaction:
-            detected_regs.append(("EU", "Consumer Rights Directive / GPSR", "other"))
-            detected_regs.append(("EU", "ePrivacy Directive (2002/58/EC)", "other"))
-        if is_healthcare_sector:
-            detected_regs.append(("EU", "Medical Device Regulation (MDR 2017/745)", "other"))
-
-    # ── US ──
-    has_us = "United States" in d.get("operating_countries", [])
-    us_regulated = d.get("us_states_with_regulation", [])
-
-    # Federal laws first
-    if has_us:
-        detected_regs.append(("US", "FTC Act Section 5 (Unfair/Deceptive Practices)", "other"))
-        if is_employment_sector or has_employment_data:
-            detected_regs.append(("US", "Title VII (Civil Rights Act)", "other"))
-            detected_regs.append(("US", "ADA (Americans with Disabilities Act)", "other"))
-        if is_financial_sector or has_financial_data:
-            detected_regs.append(("US", "ECOA (Equal Credit Opportunity Act)", "other"))
-            detected_regs.append(("US", "FCRA (Fair Credit Reporting Act)", "other"))
-        if "Construction & Real Estate" in sectors:
-            detected_regs.append(("US", "Fair Housing Act", "other"))
-        if is_healthcare_sector and has_personal_data:
-            detected_regs.append(("US", "HIPAA (Health Insurance Portability and Accountability Act)", "other"))
-        if has_children_data:
-            detected_regs.append(("US", "COPPA (Children's Online Privacy Protection Act)", "other"))
-        if is_education_sector and has_personal_data:
-            detected_regs.append(("US", "FERPA (Family Educational Rights and Privacy Act)", "other"))
-
-    # State-level laws
-    if has_personal_data and has_us:
-        detected_regs.append(("US", "State Data Protection Laws (CCPA, CTDPA, etc.)", "other"))
-    # AI-specific state laws
-    if "Colorado" in us_regulated:
-        detected_regs.append(("US", "Colorado AI Act (SB 24-205)", "ai"))
-    if "Connecticut" in us_regulated:
-        detected_regs.append(("US", "Connecticut AI Act (SB 2)", "ai"))
-    if "Texas" in us_regulated:
-        detected_regs.append(("US", "Texas TRAIGA (HB 1709)", "ai"))
-    if "Utah" in us_regulated:
-        detected_regs.append(("US", "Utah AI Policy Act (SB 149)", "ai"))
-    if "California" in us_regulated:
-        detected_regs.append(("US", "California CCPA / ADMT Regulations", "ai"))
-    if "Illinois" in us_regulated:
-        detected_regs.append(("US", "Illinois AI Video Interview Act (HB 3773)", "ai"))
-        if has_biometric:
-            detected_regs.append(("US", "Illinois BIPA (Biometric Information Privacy Act)", "other"))
-
-    # ── UAE ──
-    uae_emirates = d.get("uae_emirates", [])
-
-    if uae_emirates:
-        # Federal laws first
-        if has_personal_data:
-            detected_regs.append(("UAE", "UAE Federal PDPL (Decree-Law 45/2021)", "other"))
-        if has_copyrighted:
-            detected_regs.append(("UAE", "Copyright Law (Decree-Law 38/2021) — No TDM exception", "other"))
-        detected_regs.append(("UAE", "Cybercrime Law (Decree-Law 34/2021)", "other"))
-        detected_regs.append(("UAE", "Civil Transactions Law (Federal Law 5/1985)", "other"))
-        if has_direct_interaction:
-            detected_regs.append(("UAE", "Consumer Protection (Federal Law 15/2020)", "other"))
-        if has_decision_making or is_employment_sector or has_employment_data:
-            detected_regs.append(("UAE", "Anti-Discrimination (Decree-Law 34/2023)", "other"))
-            detected_regs.append(("UAE", "Labour Law (Decree-Law 33/2021)", "other"))
-
-        # Free zone level — only if specific free zone selected
-        uae_fz = d.get("uae_free_zones", [])
-        if "DIFC" in uae_fz and has_personal_data:
-            detected_regs.append(("UAE", "DIFC Data Protection Law + Regulation 10", "ai"))
-        if "ADGM" in uae_fz and has_personal_data:
-            detected_regs.append(("UAE", "ADGM Data Protection Regulations 2021", "other"))
-
-    # ── Build banner ──
-    ai_regs = [(t, n) for t, n, c in detected_regs if c == "ai"]
-    other_regs = [(t, n) for t, n, c in detected_regs if c == "other"]
-
-    if detected_regs:
-        banner_content = ""
-        if ai_regs:
-            banner_content += '<p class="reg-section-label-first rmh-el">AI-Specific Regulations</p>'
-            banner_content += '<ul class="reg-banner-list">'
-            for tag, name in ai_regs:
-                banner_content += f'<li><span class="reg-tag rmh-el">{tag}</span> {name}</li>'
-            banner_content += '</ul>'
-        if other_regs:
-            label_class = "reg-section-label" if ai_regs else "reg-section-label-first"
-            banner_content += f'<p class="{label_class} rmh-el">Related Regulations</p>'
-            banner_content += '<ul class="reg-banner-list">'
-            for tag, name in other_regs:
-                banner_content += f'<li><span class="reg-tag rmh-el">{tag}</span> {name}</li>'
-            banner_content += '</ul>'
-
-        banner_html = f"""
-<div class="reg-banner">
-    <p class="reg-banner-title rmh-el">&#9878;&#65039; Based on your AI System ID Card, these regulations could apply:</p>
-    {banner_content}
-    <p class="reg-banner-cta rmh-el">Phase 2 will provide a detailed requirements checklist for each regulation.</p>
-</div>
-"""
-        st.markdown(banner_html, unsafe_allow_html=True)
-    else:
-        st.info("No specific AI regulations detected based on your inputs. This may change as more jurisdictions are added.")
-
-    # Navigation
-    col1, col2, col3 = st.columns([1, 2, 2])
-    with col1:
-        if st.button("← Edit", use_container_width=True):
-            go_to(1)
-            st.rerun()
-    with col3:
-        if st.button("🤓 Deep dive into requirements — WIP", use_container_width=True, type="primary"):
-            st.toast("Phase 2 — Requirements deep dive coming soon!", icon="🚀")