Delete app.py
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app.py
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import streamlit as st
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# ─────────────────────────────────────────────
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# REGMAP — AI System ID Card
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# ─────────────────────────────────────────────
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st.set_page_config(
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page_title="RegMap — AI System ID Card",
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page_icon="◈",
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layout="centered",
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)
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# ── Visual Identity ──
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st.markdown("""
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<style>
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@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');
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@import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&display=swap');
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html, body, [class*="css"] { font-family: 'DM Sans', sans-serif; }
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.stApp { background-color: #F7F8FA; }
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/* Global dark text override — HF Spaces renders in dark mode iframe */
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.stApp p, .stApp span, .stApp label, .stApp h1, .stApp h2, .stApp h3, .stApp h4,
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.stApp li, .stApp strong, .stApp em,
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[data-testid="stMarkdownContainer"] p,
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[data-testid="stMarkdownContainer"] h4,
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[data-testid="stMarkdownContainer"] strong,
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[data-testid="stMarkdownContainer"] li {
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color: #1E293B !important;
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}
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/* Restore header light text (dark background) — inline styles handle this now */
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/* Progress */
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.progress-container {
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background: #E2E8F0; border-radius: 8px;
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height: 6px; margin-bottom: 0.4rem;
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}
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.progress-fill {
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background: linear-gradient(90deg, #0D9488, #2DD4BF);
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height: 6px; border-radius: 8px;
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transition: width 0.4s ease;
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}
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.progress-label {
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color: #64748B; font-size: 0.8rem;
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font-weight: 500; margin-bottom: 1.5rem;
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}
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/* Screen title */
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.screen-title {
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font-family: 'Space Grotesk', sans-serif;
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color: #0F2B46; font-size: 1.2rem;
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font-weight: 700; letter-spacing: -0.01em;
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margin-bottom: 0.25rem;
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}
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.screen-subtitle {
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color: #64748B; font-size: 0.85rem;
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font-weight: 400; margin-bottom: 1.5rem;
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line-height: 1.4;
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}
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/* Buttons */
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.stButton > button {
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font-family: 'DM Sans', sans-serif;
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font-weight: 600; font-size: 0.85rem;
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border-radius: 8px; padding: 0.45rem 1.5rem;
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color: #FFFFFF !important;
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}
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/* Summary */
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.summary-section {
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background: #F8FAFB;
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border: 1px solid #E2E8F0;
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border-left: 3px solid #0D9488;
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border-radius: 8px;
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padding: 1rem 1.3rem;
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margin-bottom: 0.8rem;
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}
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.summary-section h4 {
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color: #0F2B46;
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font-family: 'Space Grotesk', sans-serif;
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font-size: 0.88rem; font-weight: 700;
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margin: 0 0 0.5rem 0;
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}
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.summary-section p {
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color: #334155; font-size: 0.85rem;
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margin: 0.15rem 0; line-height: 1.5;
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}
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/* Spacing */
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.stSelectbox, .stMultiSelect, .stTextInput, .stTextArea { margin-bottom: 0.6rem; }
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/* Force dark text on all widget labels for HF Spaces dark mode */
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.stSelectbox label, .stMultiSelect label, .stTextInput label, .stTextArea label,
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.stRadio label, .stCheckbox label, .stSlider label {
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color: #1E293B !important;
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}
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.stSelectbox label p, .stMultiSelect label p, .stTextInput label p, .stTextArea label p,
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.stRadio label p, .stCheckbox label p, .stSlider label p {
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color: #1E293B !important;
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}
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/* Radio button option text — multiple selector strategies */
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.stRadio div[role="radiogroup"] label p,
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.stRadio div[role="radiogroup"] label span,
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.stRadio div[role="radiogroup"] label,
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[data-testid="stRadio"] label p,
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[data-testid="stRadio"] label span,
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[data-testid="stRadio"] label,
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[data-testid="stWidgetLabel"] p,
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[data-testid="stWidgetLabel"] span {
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color: #1E293B !important;
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}
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/* Markdown text inside the app (h4 headers, paragraphs, bold) */
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.stMarkdown h4, .stMarkdown p, .stMarkdown strong, .stMarkdown em,
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.stMarkdown li, .stMarkdown span,
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[data-testid="stMarkdownContainer"] h4,
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[data-testid="stMarkdownContainer"] p,
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[data-testid="stMarkdownContainer"] strong,
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[data-testid="stMarkdownContainer"] span {
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color: #1E293B !important;
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}
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/* Info/Alert box text */
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.stAlert p, .stAlert span,
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[data-testid="stAlert"] p,
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[data-testid="stAlert"] span {
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color: #1E293B !important;
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}
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/* Caption */
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.stCaption, .stCaption p,
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[data-testid="stCaptionContainer"] p,
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[data-testid="stCaptionContainer"] span {
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color: #64748B !important;
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}
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/* Divider */
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.stDivider { border-color: #CBD5E1 !important; }
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/* Help text (tooltips) */
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.stTooltipIcon { color: #64748B !important; }
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/* Beta disclaimer */
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.beta-disclaimer {
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background: #FEF3C7;
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border: 1px solid #F59E0B;
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border-radius: 8px;
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padding: 0.8rem 1rem;
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margin-bottom: 1rem;
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color: #92400E;
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font-size: 0.82rem;
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line-height: 1.5;
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}
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/* Hide branding */
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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</style>
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""", unsafe_allow_html=True)
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# ── Reference Data ──
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INDUSTRY_SECTORS = [
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"Agriculture & Food", "Automotive & Transportation",
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"Banking & Financial Services", "Construction & Real Estate",
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"Consulting & Professional Services", "Defence & Security",
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"Education & Training", "Energy & Utilities",
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"Entertainment & Media", "Environmental Services",
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"Government & Public Administration", "Healthcare & Life Sciences",
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"Hospitality & Tourism", "Human Resources & Recruitment",
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"Insurance", "Legal Services", "Logistics & Supply Chain",
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"Manufacturing", "Mining & Natural Resources", "Non-Profit & NGO",
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"Pharmaceuticals", "Retail & E-commerce", "Telecommunications",
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"Technology & Software", "Other",
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]
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US_STATES = [
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"Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado",
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"Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho",
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"Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana",
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"Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota",
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"Mississippi", "Missouri", "Montana", "Nebraska", "Nevada",
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"New Hampshire", "New Jersey", "New Mexico", "New York",
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"North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon",
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"Pennsylvania", "Rhode Island", "South Carolina", "South Dakota",
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"Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington",
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"West Virginia", "Wisconsin", "Wyoming", "District of Columbia",
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]
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# States with specific AI regulation (for downstream analysis)
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US_STATES_WITH_AI_REGULATION = [
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"California", "Colorado", "Connecticut", "Illinois", "Texas", "Utah",
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]
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EU_COUNTRIES = [
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"Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czechia",
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"Denmark", "Estonia", "Finland", "France", "Germany", "Greece",
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"Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg",
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"Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia",
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"Slovenia", "Spain", "Sweden",
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"Iceland (EEA)", "Liechtenstein (EEA)", "Norway (EEA)",
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]
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UAE_EMIRATES = [
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"Dubai", "Abu Dhabi", "Sharjah", "Ajman",
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"Fujairah", "Ras Al Khaimah", "Umm Al Quwain",
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]
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UAE_FREE_ZONES = {
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"Dubai": ["DIFC", "DMCC", "JAFZA", "Dubai Internet City",
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"Dubai Media City", "Dubai Silicon Oasis", "Dubai Healthcare City",
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"Dubai Design District (d3)", "Dubai South", "Dubai Knowledge Park",
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"DAFZA", "Dubai World Trade Centre", "Dubai Science Park",
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"Dubai Textile City", "DUCAMZ", "Dubai Maritime City",
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"Meydan Free Zone", "IFZA"],
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"Abu Dhabi": ["ADGM", "KIZAD", "Masdar City", "ADAFZ",
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"Khalifa Port Free Trade Zone", "Twofour54"],
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"Sharjah": ["Sharjah Media City (Shams)", "SAIF Zone",
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"Sharjah Publishing City", "Hamriyah Free Zone"],
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"Ras Al Khaimah": ["RAKEZ", "RAK Maritime City", "RAK Media City"],
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"Ajman": ["Ajman Free Zone"],
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"Fujairah": ["Fujairah Free Zone", "Fujairah Creative City"],
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"Umm Al Quwain": ["UAQ Free Trade Zone"],
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}
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ROLES_UNIVERSAL = [
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"Provider — You develop or commission the AI system",
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"Deployer — You use an AI system in your operations (you did not build it)",
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]
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ROLES_EU_SPECIFIC = [
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"Authorised Representative — You are based in the EU and act on behalf of a non-EU provider to fulfill EU AI Act obligations",
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"Importer — You are based in the EU and place on the market an AI system from a non-EU provider",
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"Distributor — You make an AI system available on the EU market (you are neither the provider nor the importer)",
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]
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AI_TYPES = ["Machine Learning (ML)", "Generative AI (GenAI)", "Agentic AI", "Rule-based", "Hybrid"]
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DATA_TYPE_OPTIONS = [
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"Personal data (name, email, ID)",
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"Sensitive/special category data (health, race, religion, political, sexual orientation)",
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"Biometric data",
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"Children's data (<18)",
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"Financial/credit data",
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"Employment/HR data",
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"Copyrighted content (text, images, audio, video)",
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"Publicly available data only",
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"No personal data",
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]
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TRAINING_SOURCES = ["Public web", "Licensed datasets", "Proprietary data", "User-generated content"]
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INVOLVEMENT_LEVELS = ["Fully automated", "Human-assisted", "Human decides"]
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ALL_COUNTRIES = [
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"Afghanistan", "Albania", "Algeria", "Andorra", "Angola", "Argentina",
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"Armenia", "Australia", "Austria", "Azerbaijan", "Bahrain", "Bangladesh",
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"Belarus", "Belgium", "Bolivia", "Bosnia and Herzegovina", "Brazil",
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"Brunei", "Bulgaria", "Cambodia", "Cameroon", "Canada", "Chile", "China",
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"Colombia", "Costa Rica", "Croatia", "Cuba", "Cyprus", "Czechia",
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"Denmark", "Dominican Republic", "Ecuador", "Egypt", "El Salvador",
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"Estonia", "Ethiopia", "Finland", "France", "Georgia", "Germany",
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"Ghana", "Greece", "Guatemala", "Honduras", "Hong Kong", "Hungary",
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"Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel",
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"Italy", "Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kuwait",
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"Latvia", "Lebanon", "Libya", "Liechtenstein", "Lithuania", "Luxembourg",
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"Malaysia", "Malta", "Mexico", "Moldova", "Monaco", "Mongolia",
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"Montenegro", "Morocco", "Mozambique", "Myanmar", "Nepal",
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"Netherlands", "New Zealand", "Nicaragua", "Nigeria", "North Korea",
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"North Macedonia", "Norway", "Oman", "Pakistan", "Panama",
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"Paraguay", "Peru", "Philippines", "Poland", "Portugal", "Qatar",
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"Romania", "Russia", "Rwanda", "Saudi Arabia", "Senegal", "Serbia",
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"Singapore", "Slovakia", "Slovenia", "Somalia", "South Africa",
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"South Korea", "Spain", "Sri Lanka", "Sudan", "Sweden", "Switzerland",
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"Syria", "Taiwan", "Tanzania", "Thailand", "Tunisia", "Turkey",
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"Uganda", "Ukraine", "United Arab Emirates", "United Kingdom",
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"United States", "Uruguay", "Uzbekistan", "Venezuela", "Vietnam",
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"Yemen", "Zambia", "Zimbabwe",
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]
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# ── Session State ──
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TOTAL_SCREENS = 7
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if "screen" not in st.session_state:
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st.session_state.screen = 1
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if "data" not in st.session_state:
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st.session_state.data = {}
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def go_next():
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if st.session_state.screen < TOTAL_SCREENS + 1:
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st.session_state.screen += 1
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def go_back():
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if st.session_state.screen > 1:
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st.session_state.screen -= 1
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def go_to(n):
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st.session_state.screen = n
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# ── Header ──
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st.markdown("""
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<div style="background:#0F2B46; padding:2.2rem 2.5rem 1.8rem 2.5rem; border-radius:14px; margin-bottom:2rem; position:relative; overflow:hidden;">
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<div style="position:absolute; top:0; right:0; width:40%; height:100%; background:linear-gradient(135deg, transparent 0%, rgba(13,148,136,0.12) 100%);"></div>
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<div style="font-family:'Space Grotesk',sans-serif; font-size:1.6rem; font-weight:700; letter-spacing:-0.02em; color:#FFFFFF !important; margin:0; position:relative; z-index:1;">Reg<span style="color:#2DD4BF !important;">Map</span></div>
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<div style="font-family:'DM Sans',sans-serif; color:#94A3B8 !important; font-size:0.88rem; font-weight:400; letter-spacing:0.02em; margin:0.4rem 0 0 0; position:relative; z-index:1;">Navigate AI regulation across jurisdictions</div>
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<div style="display:flex; gap:0.5rem; margin-top:0.8rem; position:relative; z-index:1;">
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<span style="background:rgba(255,255,255,0.08); border:1px solid rgba(255,255,255,0.12); border-radius:6px; padding:0.2rem 0.6rem; font-size:0.72rem; font-weight:500; color:#CBD5E1 !important; letter-spacing:0.04em;">EU</span>
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<span style="background:rgba(255,255,255,0.08); border:1px solid rgba(255,255,255,0.12); border-radius:6px; padding:0.2rem 0.6rem; font-size:0.72rem; font-weight:500; color:#CBD5E1 !important; letter-spacing:0.04em;">US</span>
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<span style="background:rgba(255,255,255,0.08); border:1px solid rgba(255,255,255,0.12); border-radius:6px; padding:0.2rem 0.6rem; font-size:0.72rem; font-weight:500; color:#CBD5E1 !important; letter-spacing:0.04em;">UAE</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# ── Progress ──
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current = st.session_state.screen
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progress_pct = min((current - 1) / TOTAL_SCREENS * 100, 100)
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screen_labels = {
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| 318 |
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1: "Screen 1/7 — AI System Identity",
|
| 319 |
-
2: "Screen 2/7 — Application Domain",
|
| 320 |
-
3: "Screen 3/7 — Company Location",
|
| 321 |
-
4: "Screen 4/7 — Operating Regions",
|
| 322 |
-
5: "Screen 5/7 — Role in Value Chain",
|
| 323 |
-
6: "Screen 6/7 — Technology Profile",
|
| 324 |
-
7: "Screen 7/7 — Data Profile",
|
| 325 |
-
8: "Summary",
|
| 326 |
-
}
|
| 327 |
-
label = screen_labels.get(current, "")
|
| 328 |
-
|
| 329 |
-
st.markdown(f"""
|
| 330 |
-
<div class="progress-container"><div class="progress-fill" style="width:{progress_pct}%"></div></div>
|
| 331 |
-
<div class="progress-label">{label}</div>
|
| 332 |
-
""", unsafe_allow_html=True)
|
| 333 |
-
|
| 334 |
-
|
| 335 |
-
# ═══════════════════════════════════════════════
|
| 336 |
-
# SCREEN 1: AI System Identity
|
| 337 |
-
# ═══════════════════════════════════════════════
|
| 338 |
-
|
| 339 |
-
if current == 1:
|
| 340 |
-
st.markdown('<p class="screen-title">AI System ID Card</p>', unsafe_allow_html=True)
|
| 341 |
-
st.markdown('<p class="screen-subtitle">Basic information about your AI system</p>', unsafe_allow_html=True)
|
| 342 |
-
|
| 343 |
-
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)
|
| 344 |
-
|
| 345 |
-
name = st.text_input(
|
| 346 |
-
"1.1 — AI system name",
|
| 347 |
-
value=st.session_state.data.get("name", ""),
|
| 348 |
-
placeholder="e.g. ResumeScreener, ChatAssist, FraudDetect",
|
| 349 |
-
)
|
| 350 |
-
description = st.text_area(
|
| 351 |
-
"1.2 — Brief description",
|
| 352 |
-
value=st.session_state.data.get("description", ""),
|
| 353 |
-
placeholder="Describe what your AI system does in 1-2 sentences",
|
| 354 |
-
height=100,
|
| 355 |
-
)
|
| 356 |
-
|
| 357 |
-
col1, col2 = st.columns([5, 1])
|
| 358 |
-
with col2:
|
| 359 |
-
if st.button("Next →", use_container_width=True, disabled=(not name.strip())):
|
| 360 |
-
st.session_state.data["name"] = name.strip()
|
| 361 |
-
st.session_state.data["description"] = description.strip()
|
| 362 |
-
go_next()
|
| 363 |
-
st.rerun()
|
| 364 |
-
|
| 365 |
-
|
| 366 |
-
# ═══════════════════════════════════════════════
|
| 367 |
-
# SCREEN 2: Application Domain
|
| 368 |
-
# ═══════════════════════════════════════════════
|
| 369 |
-
|
| 370 |
-
elif current == 2:
|
| 371 |
-
st.markdown('<p class="screen-title">Application Domain</p>', unsafe_allow_html=True)
|
| 372 |
-
st.markdown('<p class="screen-subtitle">Select all that apply</p>', unsafe_allow_html=True)
|
| 373 |
-
|
| 374 |
-
prev_sector = st.session_state.data.get("sector", [])
|
| 375 |
-
sector = st.multiselect(
|
| 376 |
-
"2.1 — Primary industry sector(s)",
|
| 377 |
-
INDUSTRY_SECTORS,
|
| 378 |
-
default=[s for s in prev_sector if s in INDUSTRY_SECTORS],
|
| 379 |
-
)
|
| 380 |
-
|
| 381 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 382 |
-
with col1:
|
| 383 |
-
if st.button("← Back", use_container_width=True):
|
| 384 |
-
go_back()
|
| 385 |
-
st.rerun()
|
| 386 |
-
with col3:
|
| 387 |
-
if st.button("Next →", use_container_width=True, disabled=(not sector)):
|
| 388 |
-
st.session_state.data["sector"] = sector
|
| 389 |
-
go_next()
|
| 390 |
-
st.rerun()
|
| 391 |
-
|
| 392 |
-
|
| 393 |
-
# ═══════════════════════════════════════════════
|
| 394 |
-
# SCREEN 3: Company Location
|
| 395 |
-
# ═══════════════════════════════════════════════
|
| 396 |
-
|
| 397 |
-
elif current == 3:
|
| 398 |
-
st.markdown('<p class="screen-title">Company Location</p>', unsafe_allow_html=True)
|
| 399 |
-
st.markdown('<p class="screen-subtitle">Where is your organization headquartered?</p>', unsafe_allow_html=True)
|
| 400 |
-
|
| 401 |
-
prev_base = st.session_state.data.get("company_base", None)
|
| 402 |
-
base_idx = ALL_COUNTRIES.index(prev_base) if prev_base in ALL_COUNTRIES else 0
|
| 403 |
-
company_base = st.selectbox(
|
| 404 |
-
"3.1 — Country where your company is legally established",
|
| 405 |
-
ALL_COUNTRIES,
|
| 406 |
-
index=base_idx,
|
| 407 |
-
key="q_company_base",
|
| 408 |
-
)
|
| 409 |
-
|
| 410 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 411 |
-
with col1:
|
| 412 |
-
if st.button("← Back", use_container_width=True):
|
| 413 |
-
go_back()
|
| 414 |
-
st.rerun()
|
| 415 |
-
with col3:
|
| 416 |
-
if st.button("Next →", use_container_width=True):
|
| 417 |
-
st.session_state.data["company_base"] = company_base
|
| 418 |
-
go_next()
|
| 419 |
-
st.rerun()
|
| 420 |
-
|
| 421 |
-
|
| 422 |
-
# ═══════════════════════════════════════════════
|
| 423 |
-
# SCREEN 4: AI System Operating Regions
|
| 424 |
-
# ═══════════════════════════════════════════════
|
| 425 |
-
|
| 426 |
-
elif current == 4:
|
| 427 |
-
st.markdown('<p class="screen-title">AI System Operating Regions</p>', unsafe_allow_html=True)
|
| 428 |
-
st.markdown('<p class="screen-subtitle">Where does your AI system operate, is distributed, or where are its end users located?</p>', unsafe_allow_html=True)
|
| 429 |
-
|
| 430 |
-
prev_countries = st.session_state.data.get("operating_countries", [])
|
| 431 |
-
operating_countries = st.multiselect(
|
| 432 |
-
"4.1 — Select all countries where your AI system operates",
|
| 433 |
-
ALL_COUNTRIES,
|
| 434 |
-
default=[c for c in prev_countries if c in ALL_COUNTRIES],
|
| 435 |
-
key="q_operating_countries",
|
| 436 |
-
)
|
| 437 |
-
|
| 438 |
-
# Auto-detect
|
| 439 |
-
EU_COUNTRY_NAMES_CLEAN = [c.replace(" (EEA)", "") for c in EU_COUNTRIES]
|
| 440 |
-
selected_eu = [c for c in operating_countries if c in EU_COUNTRY_NAMES_CLEAN or c in ["Iceland", "Liechtenstein", "Norway"]]
|
| 441 |
-
has_us = "United States" in operating_countries
|
| 442 |
-
has_uae = "United Arab Emirates" in operating_countries
|
| 443 |
-
|
| 444 |
-
# US states — always visible when US selected
|
| 445 |
-
us_states = []
|
| 446 |
-
if has_us:
|
| 447 |
-
prev_states = st.session_state.data.get("us_states", [])
|
| 448 |
-
us_states = st.multiselect(
|
| 449 |
-
"4.2 — United States: which states?",
|
| 450 |
-
US_STATES,
|
| 451 |
-
default=[s for s in prev_states if s in US_STATES],
|
| 452 |
-
key="q_us_states",
|
| 453 |
-
)
|
| 454 |
-
|
| 455 |
-
# UAE emirates — always visible when UAE selected
|
| 456 |
-
uae_emirates = []
|
| 457 |
-
uae_free_zones = []
|
| 458 |
-
if has_uae:
|
| 459 |
-
prev_emirates = st.session_state.data.get("uae_emirates", [])
|
| 460 |
-
uae_emirates = st.multiselect(
|
| 461 |
-
"4.3 — UAE: which emirates?",
|
| 462 |
-
UAE_EMIRATES,
|
| 463 |
-
default=[e for e in prev_emirates if e in UAE_EMIRATES],
|
| 464 |
-
key="q_uae_emirates",
|
| 465 |
-
)
|
| 466 |
-
|
| 467 |
-
# Free zones — build options from ALL emirates (not just selected)
|
| 468 |
-
# so the widget always renders; options update based on selection
|
| 469 |
-
all_zones = []
|
| 470 |
-
for em in uae_emirates:
|
| 471 |
-
all_zones.extend(UAE_FREE_ZONES.get(em, []))
|
| 472 |
-
prev_zones = st.session_state.data.get("uae_free_zones", [])
|
| 473 |
-
if all_zones:
|
| 474 |
-
uae_free_zones = st.multiselect(
|
| 475 |
-
"4.4 — UAE: free zones? (optional — only if your entity is registered in a free zone)",
|
| 476 |
-
all_zones,
|
| 477 |
-
default=[z for z in prev_zones if z in all_zones],
|
| 478 |
-
key="q_uae_fz",
|
| 479 |
-
)
|
| 480 |
-
elif uae_emirates:
|
| 481 |
-
st.caption("No free zones available for the selected emirates.")
|
| 482 |
-
|
| 483 |
-
# Validation
|
| 484 |
-
can_proceed = len(operating_countries) > 0
|
| 485 |
-
if has_us and not us_states:
|
| 486 |
-
can_proceed = False
|
| 487 |
-
if has_uae and not uae_emirates:
|
| 488 |
-
can_proceed = False
|
| 489 |
-
|
| 490 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 491 |
-
with col1:
|
| 492 |
-
if st.button("← Back", use_container_width=True):
|
| 493 |
-
go_back()
|
| 494 |
-
st.rerun()
|
| 495 |
-
with col3:
|
| 496 |
-
if st.button("Next →", use_container_width=True, disabled=(not can_proceed)):
|
| 497 |
-
st.session_state.data["operating_countries"] = operating_countries
|
| 498 |
-
st.session_state.data["us_states"] = us_states if has_us else []
|
| 499 |
-
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 []
|
| 500 |
-
st.session_state.data["eu_countries"] = selected_eu
|
| 501 |
-
st.session_state.data["uae_emirates"] = uae_emirates if has_uae else []
|
| 502 |
-
st.session_state.data["uae_free_zones"] = uae_free_zones if has_uae else []
|
| 503 |
-
regions = []
|
| 504 |
-
if has_us:
|
| 505 |
-
regions.append("United States")
|
| 506 |
-
if selected_eu:
|
| 507 |
-
regions.append("Europe")
|
| 508 |
-
if has_uae:
|
| 509 |
-
regions.append("UAE")
|
| 510 |
-
st.session_state.data["regions"] = regions
|
| 511 |
-
go_next()
|
| 512 |
-
st.rerun()
|
| 513 |
-
|
| 514 |
-
|
| 515 |
-
# ═══════════════════════════════════════════════
|
| 516 |
-
# SCREEN 5: Role in Value Chain
|
| 517 |
-
# ═══════════════════════════════════════════════
|
| 518 |
-
|
| 519 |
-
elif current == 5:
|
| 520 |
-
st.markdown('<p class="screen-title">Role in Value Chain</p>', unsafe_allow_html=True)
|
| 521 |
-
st.markdown('<p class="screen-subtitle">What is your current role?</p>', unsafe_allow_html=True)
|
| 522 |
-
|
| 523 |
-
prev_roles = st.session_state.data.get("roles", [])
|
| 524 |
-
|
| 525 |
-
# Universal roles — always shown
|
| 526 |
-
roles_universal = st.multiselect(
|
| 527 |
-
"5.1 — Your organization's role (select all that apply)",
|
| 528 |
-
ROLES_UNIVERSAL,
|
| 529 |
-
default=[r for r in prev_roles if r in ROLES_UNIVERSAL],
|
| 530 |
-
key="q_roles_universal",
|
| 531 |
-
)
|
| 532 |
-
|
| 533 |
-
# EU-specific roles — shown if EU countries in operating regions OR company based in EU
|
| 534 |
-
eu_operating = st.session_state.data.get("eu_countries", [])
|
| 535 |
-
company_base = st.session_state.data.get("company_base", "")
|
| 536 |
-
EU_BASE_NAMES = [c.replace(" (EEA)", "") for c in EU_COUNTRIES]
|
| 537 |
-
has_eu = len(eu_operating) > 0 or company_base in EU_BASE_NAMES
|
| 538 |
-
roles_eu = []
|
| 539 |
-
if has_eu:
|
| 540 |
-
roles_eu = st.multiselect(
|
| 541 |
-
"5.2 — EU AI Act specific roles (if applicable)",
|
| 542 |
-
ROLES_EU_SPECIFIC,
|
| 543 |
-
default=[r for r in prev_roles if r in ROLES_EU_SPECIFIC],
|
| 544 |
-
key="q_roles_eu",
|
| 545 |
-
)
|
| 546 |
-
|
| 547 |
-
all_roles = roles_universal + roles_eu
|
| 548 |
-
|
| 549 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 550 |
-
with col1:
|
| 551 |
-
if st.button("← Back", use_container_width=True):
|
| 552 |
-
go_back()
|
| 553 |
-
st.rerun()
|
| 554 |
-
with col3:
|
| 555 |
-
if st.button("Next →", use_container_width=True, disabled=(not all_roles)):
|
| 556 |
-
st.session_state.data["roles"] = all_roles
|
| 557 |
-
go_next()
|
| 558 |
-
st.rerun()
|
| 559 |
-
|
| 560 |
-
|
| 561 |
-
# ═══════════════════════════════════════════════
|
| 562 |
-
# SCREEN 6: Technology Profile
|
| 563 |
-
# ═══════════════════════════════════════════════
|
| 564 |
-
|
| 565 |
-
elif current == 6:
|
| 566 |
-
st.markdown('<p class="screen-title">Technology Profile</p>', unsafe_allow_html=True)
|
| 567 |
-
st.markdown('<p class="screen-subtitle">Describe your AI system\'s capabilities</p>', unsafe_allow_html=True)
|
| 568 |
-
|
| 569 |
-
# 6.1 AI type
|
| 570 |
-
prev_type = st.session_state.data.get("ai_type", AI_TYPES[0])
|
| 571 |
-
type_idx = AI_TYPES.index(prev_type) if prev_type in AI_TYPES else 0
|
| 572 |
-
ai_type = st.selectbox("6.1 — AI system type", AI_TYPES, index=type_idx, key="q_ai_type")
|
| 573 |
-
|
| 574 |
-
# 6.2 Model type
|
| 575 |
-
MODEL_TYPES = [
|
| 576 |
-
"Foundation model — general-purpose, trained on broad data (e.g. GPT, Claude, Llama)",
|
| 577 |
-
"Fine-tuned model — adapted from a foundation model for specific tasks",
|
| 578 |
-
"Task-specific model — built and trained for a single purpose",
|
| 579 |
-
]
|
| 580 |
-
prev_model = st.session_state.data.get("model_type", MODEL_TYPES[2])
|
| 581 |
-
model_idx = MODEL_TYPES.index(prev_model) if prev_model in MODEL_TYPES else 2
|
| 582 |
-
model_type = st.selectbox("6.2 — How would you describe your AI model?", MODEL_TYPES, index=model_idx, key="q_model_type")
|
| 583 |
-
|
| 584 |
-
# 6.3 Capabilities
|
| 585 |
-
CAPABILITY_OPTIONS = [
|
| 586 |
-
"Interacts directly with end users",
|
| 587 |
-
"Makes or supports decisions that affect individuals",
|
| 588 |
-
"Profiles individuals (builds user profiles based on behavior, preferences, or characteristics)",
|
| 589 |
-
"Generates synthetic content (text, images, audio, video, code)",
|
| 590 |
-
"Performs emotion recognition",
|
| 591 |
-
]
|
| 592 |
-
prev_caps = st.session_state.data.get("capabilities", [])
|
| 593 |
-
capabilities = st.multiselect(
|
| 594 |
-
"6.3 — What does your AI system do? (select all that apply)",
|
| 595 |
-
CAPABILITY_OPTIONS,
|
| 596 |
-
default=[c for c in prev_caps if c in CAPABILITY_OPTIONS],
|
| 597 |
-
key="q_capabilities",
|
| 598 |
-
)
|
| 599 |
-
|
| 600 |
-
# 6.4 Human involvement — always shown
|
| 601 |
-
prev_involvement = st.session_state.data.get("human_involvement", "N/A")
|
| 602 |
-
INVOLVEMENT_WITH_NA = ["N/A — no decisions affecting individuals", "Fully automated", "Human-assisted", "Human decides"]
|
| 603 |
-
if prev_involvement in INVOLVEMENT_LEVELS:
|
| 604 |
-
inv_idx = INVOLVEMENT_WITH_NA.index(prev_involvement)
|
| 605 |
-
else:
|
| 606 |
-
inv_idx = 0
|
| 607 |
-
human_involvement = st.selectbox(
|
| 608 |
-
"6.4 — Level of human involvement in decisions (if applicable)",
|
| 609 |
-
INVOLVEMENT_WITH_NA,
|
| 610 |
-
index=inv_idx,
|
| 611 |
-
key="q_involvement",
|
| 612 |
-
)
|
| 613 |
-
|
| 614 |
-
# 6.5 Synthetic content types — always shown
|
| 615 |
-
SYNTHETIC_TYPES = ["Text", "Images", "Audio", "Video", "Code"]
|
| 616 |
-
prev_content = st.session_state.data.get("synthetic_content", [])
|
| 617 |
-
synthetic_content = st.multiselect(
|
| 618 |
-
"6.5 — Types of synthetic content generated (if applicable, select all that apply)",
|
| 619 |
-
SYNTHETIC_TYPES,
|
| 620 |
-
default=[s for s in prev_content if s in SYNTHETIC_TYPES],
|
| 621 |
-
key="q_content",
|
| 622 |
-
)
|
| 623 |
-
|
| 624 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 625 |
-
with col1:
|
| 626 |
-
if st.button("← Back", use_container_width=True):
|
| 627 |
-
go_back()
|
| 628 |
-
st.rerun()
|
| 629 |
-
with col3:
|
| 630 |
-
if st.button("Next →", use_container_width=True):
|
| 631 |
-
st.session_state.data["ai_type"] = ai_type
|
| 632 |
-
st.session_state.data["model_type"] = model_type
|
| 633 |
-
st.session_state.data["gpai"] = model_type.startswith("Foundation model")
|
| 634 |
-
st.session_state.data["capabilities"] = capabilities
|
| 635 |
-
st.session_state.data["direct_interaction"] = "Interacts directly with end users" in capabilities
|
| 636 |
-
st.session_state.data["decision_making"] = "Makes or supports decisions that affect individuals" in capabilities
|
| 637 |
-
st.session_state.data["profiling"] = "Profiles individuals (builds user profiles based on behavior, preferences, or characteristics)" in capabilities
|
| 638 |
-
is_decision = "Makes or supports decisions that affect individuals" in capabilities
|
| 639 |
-
st.session_state.data["human_involvement"] = human_involvement if is_decision and not human_involvement.startswith("N/A") else "N/A"
|
| 640 |
-
is_synthetic = "Generates synthetic content (text, images, audio, video, code)" in capabilities
|
| 641 |
-
st.session_state.data["synthetic_content"] = synthetic_content if is_synthetic else []
|
| 642 |
-
st.session_state.data["emotion_recognition"] = "Performs emotion recognition" in capabilities
|
| 643 |
-
go_next()
|
| 644 |
-
st.rerun()
|
| 645 |
-
|
| 646 |
-
|
| 647 |
-
# ═══════════════════════════════════════════════
|
| 648 |
-
# SCREEN 7: Data Profile
|
| 649 |
-
# ═══════════════════════════════════════════════
|
| 650 |
-
|
| 651 |
-
elif current == 7:
|
| 652 |
-
st.markdown('<p class="screen-title">Data Profile</p>', unsafe_allow_html=True)
|
| 653 |
-
st.markdown('<p class="screen-subtitle">What data does your system process and where does it come from?</p>', unsafe_allow_html=True)
|
| 654 |
-
|
| 655 |
-
prev_data_types = st.session_state.data.get("data_types", [])
|
| 656 |
-
selected_data_types = st.multiselect(
|
| 657 |
-
"7.1 — What data types does your AI system process? (select all that apply)",
|
| 658 |
-
DATA_TYPE_OPTIONS,
|
| 659 |
-
default=[dt for dt in prev_data_types if dt in DATA_TYPE_OPTIONS],
|
| 660 |
-
)
|
| 661 |
-
|
| 662 |
-
st.divider()
|
| 663 |
-
|
| 664 |
-
prev_sources = st.session_state.data.get("training_sources", [])
|
| 665 |
-
training_sources = st.multiselect(
|
| 666 |
-
"7.2 — Training data sources (select all that apply)",
|
| 667 |
-
TRAINING_SOURCES,
|
| 668 |
-
default=[s for s in prev_sources if s in TRAINING_SOURCES],
|
| 669 |
-
)
|
| 670 |
-
|
| 671 |
-
col1, col2, col3 = st.columns([1, 3, 1])
|
| 672 |
-
with col1:
|
| 673 |
-
if st.button("← Back", use_container_width=True):
|
| 674 |
-
go_back()
|
| 675 |
-
st.rerun()
|
| 676 |
-
with col3:
|
| 677 |
-
if st.button("View Summary →", use_container_width=True, disabled=(not selected_data_types)):
|
| 678 |
-
st.session_state.data["data_types"] = selected_data_types
|
| 679 |
-
st.session_state.data["training_sources"] = training_sources
|
| 680 |
-
go_next()
|
| 681 |
-
st.rerun()
|
| 682 |
-
|
| 683 |
-
|
| 684 |
-
# ═��═════════════════════════════════════════════
|
| 685 |
-
# SCREEN 8: Summary
|
| 686 |
-
# ═══════════════════════════════════════════════
|
| 687 |
-
|
| 688 |
-
elif current == 8:
|
| 689 |
-
d = st.session_state.data
|
| 690 |
-
|
| 691 |
-
st.markdown('<p class="screen-title">AI System ID Card — Summary</p>', unsafe_allow_html=True)
|
| 692 |
-
st.markdown(f'<p class="screen-subtitle">Review your inputs for <strong>{d.get("name", "")}</strong></p>', unsafe_allow_html=True)
|
| 693 |
-
|
| 694 |
-
# Identity
|
| 695 |
-
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)
|
| 696 |
-
|
| 697 |
-
# Domain
|
| 698 |
-
sectors = d.get("sector", [])
|
| 699 |
-
sectors_display = ", ".join(sectors) if sectors else "—"
|
| 700 |
-
st.markdown(f'<div class="summary-section"><h4>Application Domain</h4><p><strong>Sector(s):</strong> {sectors_display}</p></div>', unsafe_allow_html=True)
|
| 701 |
-
|
| 702 |
-
# Geography
|
| 703 |
-
geo_lines = f'<p><strong>Company base:</strong> {d.get("company_base", "—")}</p>'
|
| 704 |
-
op_countries = d.get("operating_countries", [])
|
| 705 |
-
geo_lines += f'<p><strong>Operating countries:</strong> {", ".join(op_countries) if op_countries else "—"}</p>'
|
| 706 |
-
if d.get("us_states"):
|
| 707 |
-
regulated = d.get("us_states_with_regulation", [])
|
| 708 |
-
non_regulated = [s for s in d["us_states"] if s not in regulated]
|
| 709 |
-
us_line = ", ".join(d["us_states"])
|
| 710 |
-
geo_lines += f'<p><strong>US states:</strong> {us_line}</p>'
|
| 711 |
-
if regulated:
|
| 712 |
-
geo_lines += f'<p><strong>States with AI regulation:</strong> {", ".join(regulated)}</p>'
|
| 713 |
-
if non_regulated:
|
| 714 |
-
geo_lines += f'<p><strong>States without specific AI regulation:</strong> {", ".join(non_regulated)}</p>'
|
| 715 |
-
if d.get("eu_countries"):
|
| 716 |
-
geo_lines += f'<p><strong>EU/EEA countries detected:</strong> {", ".join(d["eu_countries"])}</p>'
|
| 717 |
-
if d.get("uae_emirates"):
|
| 718 |
-
geo_lines += f'<p><strong>UAE emirates:</strong> {", ".join(d["uae_emirates"])}</p>'
|
| 719 |
-
if d.get("uae_free_zones"):
|
| 720 |
-
geo_lines += f'<p><strong>Free zones:</strong> {", ".join(d["uae_free_zones"])}</p>'
|
| 721 |
-
st.markdown(f'<div class="summary-section"><h4>Geographic Scope</h4>{geo_lines}</div>', unsafe_allow_html=True)
|
| 722 |
-
|
| 723 |
-
# Roles
|
| 724 |
-
roles_display = ", ".join(d.get("roles", ["—"]))
|
| 725 |
-
st.markdown(f'<div class="summary-section"><h4>Role in Value Chain</h4><p>{roles_display}</p></div>', unsafe_allow_html=True)
|
| 726 |
-
|
| 727 |
-
# Technology
|
| 728 |
-
model_type_display = d.get("model_type", "—")
|
| 729 |
-
caps = d.get("capabilities", [])
|
| 730 |
-
caps_display = ", ".join(caps) if caps else "None selected"
|
| 731 |
-
synthetic = ", ".join(d.get("synthetic_content", [])) or "None"
|
| 732 |
-
involvement = d.get("human_involvement", "N/A")
|
| 733 |
-
|
| 734 |
-
tech_lines = f'<p><strong>AI type:</strong> {d.get("ai_type", "—")}</p>'
|
| 735 |
-
tech_lines += f'<p><strong>Model:</strong> {model_type_display}</p>'
|
| 736 |
-
tech_lines += f'<p><strong>Capabilities:</strong> {caps_display}</p>'
|
| 737 |
-
if d.get("decision_making"):
|
| 738 |
-
tech_lines += f'<p><strong>Human involvement in decisions:</strong> {involvement}</p>'
|
| 739 |
-
if d.get("synthetic_content"):
|
| 740 |
-
tech_lines += f'<p><strong>Synthetic content types:</strong> {synthetic}</p>'
|
| 741 |
-
st.markdown(f'<div class="summary-section"><h4>Technology Profile</h4>{tech_lines}</div>', unsafe_allow_html=True)
|
| 742 |
-
|
| 743 |
-
# Data
|
| 744 |
-
data_types_display = ", ".join(d.get("data_types", ["—"]))
|
| 745 |
-
sources_display = ", ".join(d.get("training_sources", ["—"]))
|
| 746 |
-
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)
|
| 747 |
-
|
| 748 |
-
# Navigation
|
| 749 |
-
col1, col2, col3 = st.columns([1, 2, 2])
|
| 750 |
-
with col1:
|
| 751 |
-
if st.button("← Edit", use_container_width=True):
|
| 752 |
-
go_to(1)
|
| 753 |
-
st.rerun()
|
| 754 |
-
with col3:
|
| 755 |
-
st.info("Regulation analysis coming in next version")
|
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