Delete app.py

app.py

@@ -1,821 +0,0 @@
-import streamlit as st
-import streamlit.components.v1 as components
-import os, json, re
-from reportlab.lib.pagesizes import letter
-from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
-from reportlab.lib.units import inch
-from reportlab.platypus import (
-    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
-    HRFlowable, KeepTogether, PageBreak,
-)
-from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_RIGHT
-from reportlab.lib import colors
-from io import BytesIO
-from datetime import datetime
-from config import *
-
-# ── Shorthand color references
-NAVY = BRAND["colors"]["navy"]
-TEAL = BRAND["colors"]["teal"]
-SKY = BRAND["colors"]["sky"]
-ORANGE = BRAND["colors"]["orange"]
-AMBER = BRAND["colors"]["amber"]
-WHITE = BRAND["colors"]["white"]
-
-
-# =============================================================================
-# RECOMMENDATION ENGINE
-# =============================================================================
-def score_peptides(selected_goals):
-    """Score every peptide against the patient's selected goals.
-
-    Returns a list of (peptide_key, score, matched_categories) sorted by score
-    descending, then by suggested-vial cost ascending (value-first tiebreaker).
-    """
-    # Build category weights from selected goals
-    cat_scores = {}
-    for goal in selected_goals:
-        for cat_name, weight in GOAL_MAPPINGS.get(goal, []):
-            cat_scores[cat_name] = cat_scores.get(cat_name, 0) + weight
-
-    if not cat_scores:
-        return []
-
-    results = []
-    for pep_key, pep in PEPTIDES.items():
-        score = 0
-        matched = []
-        for cat in pep["categories"]:
-            if cat in cat_scores:
-                score += cat_scores[cat]
-                matched.append(cat)
-        if score > 0:
-            results.append((pep_key, score, matched))
-
-    # Sort: highest score first, then cheapest suggested-vial price as tiebreaker
-    results.sort(
-        key=lambda x: (
-            -x[1],
-            PEPTIDES[x[0]]["pricing"].get(PEPTIDES[x[0]]["suggested_vials"], 9999),
-        )
-    )
-    return results
-
-
-def get_top_categories(selected_goals, limit=3):
-    """Return the top N matched categories from selected goals."""
-    cat_scores = {}
-    for goal in selected_goals:
-        for cat_name, weight in GOAL_MAPPINGS.get(goal, []):
-            cat_scores[cat_name] = cat_scores.get(cat_name, 0) + weight
-    sorted_cats = sorted(cat_scores.items(), key=lambda x: -x[1])
-    return [c[0] for c in sorted_cats[:limit]]
-
-
-def group_by_tier(scored_peptides):
-    """Group scored peptides into branded blends, other blends, and singles."""
-    branded = []
-    blends = []
-    singles = []
-    for pep_key, score, matched in scored_peptides:
-        pep = PEPTIDES[pep_key]
-        if pep.get("brand_name"):
-            branded.append((pep_key, score, matched))
-        elif pep.get("is_blend"):
-            blends.append((pep_key, score, matched))
-        else:
-            singles.append((pep_key, score, matched))
-    return branded, blends, singles
-
-
-# =============================================================================
-# PDF GENERATOR
-# =============================================================================
-def generate_pdf(patient_info, selected_goals, top_categories, recommendations):
-    """Generate a branded PDF of the peptide recommendation."""
-    buffer = BytesIO()
-    doc = SimpleDocTemplate(
-        buffer, pagesize=letter,
-        topMargin=0.55 * inch, bottomMargin=0.6 * inch,
-        leftMargin=0.65 * inch, rightMargin=0.65 * inch,
-    )
-    story = []
-    pw = letter[0] - 1.3 * inch
-
-    def ps(name, **kwargs):
-        return ParagraphStyle(name, **kwargs)
-
-    C_NAVY = colors.HexColor(NAVY)
-    C_TEAL = colors.HexColor(TEAL)
-    C_ORANGE = colors.HexColor(ORANGE)
-    C_AMBER = colors.HexColor(AMBER)
-    C_SKY = colors.HexColor(SKY)
-    C_LIGHT = colors.HexColor("#eef4f8")
-    C_CARD = colors.HexColor("#f0f6fa")
-    C_BORDER = colors.HexColor("#b8d0de")
-
-    brand_s = ps("Br", fontName="Helvetica-Bold", fontSize=9, textColor=C_ORANGE, spaceAfter=0, alignment=TA_CENTER)
-    title_s = ps("T", fontName="Helvetica-Bold", fontSize=20, leading=26, textColor=colors.white, spaceAfter=0, alignment=TA_CENTER)
-    sub_s = ps("Su", fontName="Helvetica", fontSize=10, textColor=C_SKY, spaceAfter=0, alignment=TA_CENTER)
-    meta_s = ps("Me", fontName="Helvetica", fontSize=9, leading=14, textColor=C_NAVY, spaceAfter=3)
-    h2_s = ps("H2", fontName="Helvetica-Bold", fontSize=11, textColor=colors.white, spaceBefore=0, spaceAfter=0)
-    h3_s = ps("H3", fontName="Helvetica-Bold", fontSize=10, textColor=C_NAVY, spaceBefore=4, spaceAfter=3)
-    body_s = ps("B", fontName="Helvetica", fontSize=9.5, leading=15, textColor=C_NAVY, spaceAfter=5)
-    bullet_s = ps("Bu", fontName="Helvetica", fontSize=9.5, leading=15, textColor=C_NAVY, leftIndent=14, spaceAfter=3)
-    disc_s = ps("Di", fontName="Helvetica-Oblique", fontSize=8, leading=12, textColor=colors.HexColor("#4a6070"), spaceAfter=4)
-    price_s = ps("Pr", fontName="Helvetica-Bold", fontSize=10, textColor=C_ORANGE, spaceAfter=2)
-    pep_hdr_s = ps("Ph", fontName="Helvetica-Bold", fontSize=10, textColor=colors.white, spaceBefore=0, spaceAfter=0)
-    ft_s = ps("Ft", fontName="Helvetica", fontSize=8, leading=12, textColor=C_NAVY, spaceAfter=0, alignment=TA_CENTER)
-
-    def banner(para, bg, line_below=None, pad_v=7, pad_h=12):
-        t = Table([[para]], colWidths=[pw])
-        cmds = [
-            ("BACKGROUND", (0, 0), (-1, -1), bg),
-            ("LEFTPADDING", (0, 0), (-1, -1), pad_h),
-            ("RIGHTPADDING", (0, 0), (-1, -1), pad_h),
-            ("TOPPADDING", (0, 0), (-1, -1), pad_v),
-            ("BOTTOMPADDING", (0, 0), (-1, -1), pad_v),
-        ]
-        if line_below:
-            cmds.append(("LINEBELOW", (0, 0), (-1, -1), 3, line_below))
-        t.setStyle(TableStyle(cmds))
-        return t
-
-    def section_hdr(text):
-        return KeepTogether([
-            Spacer(1, 8),
-            banner(Paragraph(text.upper(), h2_s), C_NAVY, line_below=C_ORANGE, pad_v=8),
-            Spacer(1, 6),
-        ])
-
-    # ── COVER ────────────────────────────────────────────────────────────────
-    hdr_tbl = Table([
-        [Paragraph("IGNITE PERFORMANCE & HEALTH", brand_s)],
-        [Paragraph("Peptide Protocol Recommendation", title_s)],
-        [Paragraph("Physician-Supervised Peptide Therapy", sub_s)],
-    ], colWidths=[pw])
-    hdr_tbl.setStyle(TableStyle([
-        ("BACKGROUND", (0, 0), (-1, -1), C_NAVY),
-        ("LEFTPADDING", (0, 0), (-1, -1), 20),
-        ("RIGHTPADDING", (0, 0), (-1, -1), 20),
-        ("TOPPADDING", (0, 0), (0, 0), 14),
-        ("BOTTOMPADDING", (0, 0), (0, 0), 4),
-        ("TOPPADDING", (0, 1), (0, 1), 4),
-        ("BOTTOMPADDING", (0, 1), (0, 1), 4),
-        ("TOPPADDING", (0, 2), (0, 2), 2),
-        ("BOTTOMPADDING", (0, 2), (0, 2), 14),
-        ("ALIGN", (0, 0), (-1, -1), "CENTER"),
-    ]))
-    story.append(hdr_tbl)
-    story.append(HRFlowable(width="100%", thickness=5, color=C_ORANGE, spaceAfter=12))
-
-    # ── Patient info ──
-    name = patient_info.get("name", "")
-    date_str = datetime.now().strftime("%B %d, %Y")
-    pi_tbl = Table([[
-        Paragraph(f"<b>Prepared for:</b> {name}", meta_s),
-        Paragraph(f"<b>Date:</b> {date_str}", meta_s),
-    ]], colWidths=[pw * 0.6, pw * 0.4])
-    pi_tbl.setStyle(TableStyle([
-        ("BACKGROUND", (0, 0), (-1, -1), C_LIGHT),
-        ("BOX", (0, 0), (-1, -1), 0.75, C_BORDER),
-        ("LINEBELOW", (0, 0), (-1, -1), 2, C_ORANGE),
-        ("LEFTPADDING", (0, 0), (-1, -1), 10),
-        ("RIGHTPADDING", (0, 0), (-1, -1), 10),
-        ("TOPPADDING", (0, 0), (-1, -1), 9),
-        ("BOTTOMPADDING", (0, 0), (-1, -1), 9),
-        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
-    ]))
-    story.append(pi_tbl)
-    story.append(Spacer(1, 14))
-
-    # ── Goals & Categories ──
-    story.append(section_hdr("Your Goals"))
-    goals_text = "  ·  ".join(selected_goals)
-    story.append(Paragraph(f"<b>Selected goals:</b> {goals_text}", body_s))
-    cats_text = "  ·  ".join(top_categories)
-    story.append(Paragraph(f"<b>Top therapeutic areas:</b> {cats_text}", body_s))
-    story.append(Spacer(1, 8))
-
-    # ── Recommendations ──
-    story.append(section_hdr("Recommended Peptides"))
-
-    branded, blends, singles = group_by_tier(recommendations)
-
-    def render_pep_block(pep_key, score, matched):
-        pep = PEPTIDES[pep_key]
-        display_name = pep.get("brand_name") or pep_key
-        sv = pep["suggested_vials"]
-        sv_price = pep["pricing"].get(sv, 0)
-        per_week = sv_price / max((sv * 4), 1)  # rough per-week estimate
-
-        items = [
-            Spacer(1, 4),
-            banner(Paragraph(f"  {display_name}", pep_hdr_s), C_TEAL, line_below=C_NAVY, pad_v=5),
-        ]
-        if pep.get("brand_name") and pep_key != pep["brand_name"]:
-            items.append(Paragraph(f"<i>{pep_key}</i>", disc_s))
-        items.append(Paragraph(pep["description"], body_s))
-        items.append(Paragraph(
-            f"<b>Dosage:</b> {pep['dosage']}  |  <b>Cycle:</b> {pep['cycle']}  |  "
-            f"<b>Suggested vials:</b> {sv}", bullet_s))
-        items.append(Paragraph(
-            f"<b>Suggested cycle cost:</b> ${sv_price:,.2f} ({sv} vials)  |  "
-            f"<b>~${per_week:,.2f}/week</b>", price_s))
-        items.append(Paragraph(
-            f"Categories: {', '.join(matched)}", disc_s))
-        items.append(Spacer(1, 6))
-        return KeepTogether(items)
-
-    if branded:
-        story.append(Paragraph("<b>Ignite Branded Blends</b> — curated multi-peptide protocols", h3_s))
-        for pep_key, score, matched in branded[:6]:
-            story.append(render_pep_block(pep_key, score, matched))
-
-    if blends:
-        story.append(Paragraph("<b>Combination Blends</b>", h3_s))
-        for pep_key, score, matched in blends[:4]:
-            story.append(render_pep_block(pep_key, score, matched))
-
-    if singles:
-        story.append(Paragraph("<b>Individual Peptides</b>", h3_s))
-        for pep_key, score, matched in singles[:4]:
-            story.append(render_pep_block(pep_key, score, matched))
-
-    # ── Disclaimer ──
-    story.append(Spacer(1, 12))
-    story.append(HRFlowable(width="100%", thickness=1, color=C_BORDER, spaceAfter=8))
-    story.append(Paragraph(BRAND["disclaimer"], disc_s))
-    story.append(Spacer(1, 6))
-
-    # ── Footer ──
-    story.append(HRFlowable(width="100%", thickness=3, color=C_ORANGE, spaceAfter=0))
-    ft_brand_s = ps("Fb", fontName="Helvetica-Bold", fontSize=10, textColor=C_ORANGE, spaceAfter=1, alignment=TA_CENTER)
-    ft_info_s = ps("Fi", fontName="Helvetica", fontSize=8, leading=12, textColor=colors.white, spaceAfter=1, alignment=TA_CENTER)
-    ft_web_s = ps("Fw", fontName="Helvetica-Bold", fontSize=8, textColor=C_SKY, spaceAfter=0, alignment=TA_CENTER)
-
-    ft_tbl = Table([
-        [Paragraph("IGNITE PERFORMANCE &amp; HEALTH", ft_brand_s)],
-        [Paragraph("14830 Clayton Rd, Chesterfield, MO 63017  |  (314) 887-0858  |  info@ignitepah.com", ft_info_s)],
-        [Paragraph("www.ignitepah.com", ft_web_s)],
-    ], colWidths=[pw])
-    ft_tbl.setStyle(TableStyle([
-        ("BACKGROUND", (0, 0), (-1, -1), C_NAVY),
-        ("TOPPADDING", (0, 0), (0, 0), 8),
-        ("BOTTOMPADDING", (0, -1), (0, -1), 8),
-        ("TOPPADDING", (0, 1), (-1, -1), 1),
-        ("BOTTOMPADDING", (0, 1), (-1, -1), 1),
-        ("ALIGN", (0, 0), (-1, -1), "CENTER"),
-    ]))
-    story.append(ft_tbl)
-
-    doc.build(story)
-    buffer.seek(0)
-    return buffer
-
-
-# =============================================================================
-# FOOTER RENDERER
-# =============================================================================
-def render_footer():
-    st.markdown(
-        '<div class="site-footer">'
-        f'{"<img class=footer-logo src=" + chr(34) + LOGO_B64 + chr(34) + " alt=Ignite />" if LOGO_B64 else ""}'
-        '<p class="brand">Ignite Performance &amp; Health</p>'
-        '<p class="tagline">Physician-Supervised Peptide Therapy</p>'
-        '<div style="width:60px;height:2px;background:#f58300;margin:14px auto;border-radius:2px;"></div>'
-        '<p class="contact-label">Visit Us</p>'
-        '<p class="contact-row">14830 Clayton Rd, Chesterfield, MO 63017</p>'
-        '<p class="contact-label">Get In Touch</p>'
-        '<p class="contact-row">'
-        '<a href="tel:3148870858">(314) 887-0858</a>'
-        '<span class="sep">|</span>'
-        '<a href="mailto:info@ignitepah.com">info@ignitepah.com</a>'
-        '</p>'
-        '<p class="contact-row"><a href="https://ignitepah.com" target="_blank">www.ignitepah.com</a></p>'
-        '<p class="disclaimer">'
-        f'{BRAND["disclaimer"]}'
-        '</p>'
-        '</div>',
-        unsafe_allow_html=True,
-    )
-
-
-# =============================================================================
-# PAGE CONFIG & CSS
-# =============================================================================
-st.set_page_config(
-    page_title="Ignite Performance & Health — Peptide Protocol Selector",
-    layout="wide",
-    initial_sidebar_state="collapsed",
-)
-
-st.markdown(
-    '<link rel="preconnect" href="https://fonts.googleapis.com">'
-    '<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>'
-    '<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Barlow:ital,wght@0,400;0,600;0,700;0,800;1,700&family=Barlow+Condensed:wght@700;800&display=swap">',
-    unsafe_allow_html=True,
-)
-
-st.markdown("""
-<style>
-.stApp { background-color: #f0f6fa; }
-html, body, [class*="css"] { font-family: 'Barlow', 'Segoe UI', sans-serif; }
-.stMarkdown p, .stMarkdown span,
-div[data-testid="stMarkdownContainer"] p,
-div[data-testid="stMarkdownContainer"] span,
-div[data-testid="stMarkdownContainer"] li,
-.stRadio label, .stRadio span,
-.stCheckbox label, .stCheckbox span,
-.stNumberInput label, .stTextInput label, .stTextArea label,
-.stCaption, .stCaption p, .stForm p, .stForm span, .stForm label { color: #023047 !important; }
-div[data-testid="stMarkdownContainer"] .site-footer p,
-div[data-testid="stMarkdownContainer"] .site-footer span,
-div[data-testid="stMarkdownContainer"] .site-footer a,
-.stMarkdown .site-footer p, .stMarkdown .site-footer a { color: #ffffff !important; }
-div[data-testid="stMarkdownContainer"] .site-footer .brand,
-.stMarkdown .site-footer .brand { color: #f58300 !important; }
-div[data-testid="stMarkdownContainer"] .site-footer .tagline,
-.stMarkdown .site-footer .tagline { color: #8ecae6 !important; }
-div[data-testid="stMarkdownContainer"] .site-footer .disclaimer,
-.stMarkdown .site-footer .disclaimer { color: rgba(255,255,255,0.7) !important; }
-.stTextInput input, .stNumberInput input, .stTextArea textarea {
-    color: #023047 !important; background-color: #ffffff !important;
-    border: 1px solid #ccdde8 !important; border-radius: 6px !important;
-}
-.stTextInput input:focus, .stNumberInput input:focus, .stTextArea textarea:focus {
-    border-color: #219ebc !important; box-shadow: 0 0 0 2px rgba(33,158,188,0.2) !important;
-}
-
-/* ── Hero ── */
-.hero {
-    background: linear-gradient(135deg, #023047 60%, #219ebc 100%);
-    border-radius: 12px; padding: 2.2rem 2.5rem 1.8rem; margin-bottom: 1.5rem;
-    text-align: center;
-}
-.hero-logo { display: block; margin: 0 auto 18px; height: 130px; width: auto; }
-.hero-title { color: #f58300 !important; font-family: 'Barlow Condensed', sans-serif; font-size: 2.2rem; font-weight: 800; margin: 0 0 4px; letter-spacing: 1px; text-transform: uppercase; }
-.hero-sub { color: #8ecae6 !important; font-size: 1.1rem; font-weight: 600; margin: 8px 0 0; }
-.hero-tagline { color: rgba(255,255,255,0.85) !important; font-size: 0.85rem; margin: 8px 0 0; letter-spacing: 0.5px; }
-
-/* ── Section bands ── */
-.section-band {
-    background: linear-gradient(90deg, #023047 0%, #012233 100%);
-    color: #ffc533 !important; font-family: 'Barlow Condensed', sans-serif;
-    font-size: 1.1rem; font-weight: 800; letter-spacing: 1.2px;
-    padding: 12px 16px; margin: 20px 0 14px;
-    border-radius: 4px; text-transform: uppercase;
-}
-
-/* ── Form & buttons ── */
-.stForm { background: white; padding: 20px; border-radius: 8px; }
-.stFormSubmitButton > button,
-.stFormSubmitButton > button:active,
-.stFormSubmitButton > button:focus {
-    background: linear-gradient(135deg, #f58300 0%, #ffc533 100%) !important;
-    color: #023047 !important; font-size: 1rem; font-weight: 700;
-    letter-spacing: 0.5px; padding: 12px 24px; border-radius: 6px !important;
-    border: none !important; box-shadow: 0 4px 12px rgba(245,131,0,0.25) !important;
-}
-.stFormSubmitButton > button p,
-.stFormSubmitButton > button span { color: #023047 !important; font-weight: 700 !important; }
-.stFormSubmitButton > button:hover {
-    background: linear-gradient(135deg, #ffc533 0%, #f58300 100%) !important;
-}
-.stDownloadButton > button,
-.stDownloadButton > button:active,
-.stDownloadButton > button:focus {
-    background: linear-gradient(135deg, #f58300 0%, #ffc533 100%) !important;
-    color: #023047 !important; font-size: 0.9rem; font-weight: 700;
-    padding: 10px 20px; border-radius: 6px !important;
-    border: none !important; box-shadow: 0 2px 8px rgba(245,131,0,0.25) !important;
-    width: 100%;
-}
-.stDownloadButton > button p,
-.stDownloadButton > button span { color: #023047 !important; font-weight: 700 !important; }
-.stDownloadButton > button:hover {
-    background: linear-gradient(135deg, #ffc533 0%, #f58300 100%) !important;
-}
-.stButton > button,
-.stButton > button:active,
-.stButton > button:focus {
-    background: linear-gradient(135deg, #f58300 0%, #ffc533 100%) !important;
-    color: #023047 !important; font-size: 1rem; font-weight: 700;
-    padding: 12px 24px; border-radius: 6px !important;
-    border: none !important; box-shadow: 0 4px 12px rgba(245,131,0,0.25) !important;
-}
-.stButton > button p,
-.stButton > button span { color: #023047 !important; font-weight: 700 !important; }
-.stButton > button:hover {
-    background: linear-gradient(135deg, #ffc533 0%, #f58300 100%) !important;
-}
-
-/* ── Peptide cards ── */
-.pep-card {
-    background: white; border: 1px solid #b8d0de; border-radius: 8px;
-    padding: 16px; margin-bottom: 16px;
-}
-.pep-card-branded {
-    background: white; border: 2px solid #219ebc; border-radius: 8px;
-    padding: 16px; margin-bottom: 16px;
-}
-.pep-badge {
-    display: inline-block; background: #219ebc; color: white;
-    font-size: 0.7rem; font-weight: 700; padding: 4px 8px;
-    border-radius: 3px; margin-bottom: 8px; letter-spacing: 0.5px;
-}
-.pep-badge-branded {
-    display: inline-block; background: #f58300; color: white;
-    font-size: 0.7rem; font-weight: 700; padding: 4px 8px;
-    border-radius: 3px; margin-bottom: 8px; letter-spacing: 0.5px;
-}
-.pep-name {
-    color: #023047 !important; font-family: 'Barlow Condensed', sans-serif;
-    font-size: 1.3rem; font-weight: 800; margin-bottom: 2px;
-}
-.pep-components {
-    color: #219ebc !important; font-size: 0.85rem; font-style: italic; margin-bottom: 8px;
-}
-.pep-desc {
-    color: #4a6070 !important; font-size: 0.9rem; margin-bottom: 14px; line-height: 1.5;
-}
-.pep-label {
-    color: #f58300 !important; font-weight: 700; font-size: 0.75rem;
-    text-transform: uppercase; letter-spacing: 0.5px; margin-bottom: 4px;
-}
-.pep-value {
-    color: #023047 !important; font-size: 0.9rem; margin-bottom: 10px;
-}
-.pep-cats {
-    display: flex; gap: 6px; flex-wrap: wrap; margin-bottom: 12px;
-}
-.cat-pill {
-    background: #219ebc; color: #ffffff !important;
-    font-size: 0.72rem; font-weight: 700; padding: 4px 10px;
-    border-radius: 12px; white-space: nowrap;
-}
-
-/* ── Pricing grid ── */
-.pricing-grid {
-    display: grid; gap: 8px; margin-top: 10px;
-}
-.price-cell {
-    background: #f0f6fa; border: 1px solid #b8d0de; border-radius: 6px;
-    padding: 10px 8px; text-align: center;
-}
-.price-cell-suggested {
-    background: linear-gradient(135deg, #fff8ec 0%, #fff0d6 100%); border: 2.5px solid #f58300; border-radius: 6px;
-    padding: 12px 8px; text-align: center; box-shadow: 0 2px 8px rgba(245,131,0,0.2);
-    position: relative;
-}
-.price-vials { color: #023047 !important; font-weight: 700; font-size: 0.8rem; margin-bottom: 2px; }
-.price-amount { color: #f58300 !important; font-family: 'Barlow Condensed', sans-serif; font-size: 1.55rem; font-weight: 800; }
-.price-per-week { color: #023047 !important; font-size: 0.72rem; font-weight: 600; margin-top: 2px; }
-.price-suggested-label { background: #f58300; color: #ffffff !important; font-size: 0.65rem; font-weight: 700; text-transform: uppercase; padding: 2px 6px; border-radius: 3px; display: inline-block; margin-top: 4px; }
-
-/* ── Styled HR ── */
-.styled-hr { margin: 2rem 0; border: 0; height: 2px; background: linear-gradient(90deg, transparent, #f58300, transparent); }
-
-/* ── CTA box ── */
-.cta-box {
-    background: linear-gradient(135deg, #023047 0%, #034a6e 100%);
-    border: 2px solid #f58300; border-radius: 8px; padding: 24px;
-    margin: 24px 0; color: #ffffff !important;
-}
-.cta-box, .cta-box * { color: #ffffff !important; }
-.cta-box h3 { color: #ffc533 !important; font-family: 'Barlow Condensed', sans-serif; font-size: 1.4rem; font-weight: 800; margin-bottom: 12px; }
-.cta-box p { color: #ffffff !important; line-height: 1.6; margin-bottom: 10px; }
-.cta-box strong { color: #ffc533 !important; }
-.cta-link {
-    display: inline-block; background: #f58300; color: #ffffff !important;
-    font-weight: 700; padding: 12px 20px; border-radius: 6px;
-    text-decoration: none; margin-top: 14px; letter-spacing: 0.5px;
-}
-.cta-link:hover { background: #ffc533; color: #023047 !important; }
-
-/* ── Site footer ── */
-.site-footer {
-    background: #023047; color: #ffffff !important; padding: 32px 24px; text-align: center;
-    margin-top: 40px; border-top: 4px solid #f58300;
-}
-.site-footer, .site-footer * { color: #ffffff !important; }
-.site-footer .brand { color: #f58300 !important; font-family: 'Barlow Condensed', sans-serif; font-size: 1.3rem; font-weight: 800; margin: 8px 0 4px; letter-spacing: 1px; }
-.site-footer .tagline { color: #8ecae6 !important; font-size: 0.85rem; margin-bottom: 14px; }
-.site-footer .contact-label { color: #ffc533 !important; font-weight: 700; font-size: 0.75rem; text-transform: uppercase; letter-spacing: 0.5px; margin-top: 12px; margin-bottom: 4px; }
-.site-footer .contact-row { color: white !important; font-size: 0.95rem; margin-bottom: 4px; line-height: 1.6; }
-.site-footer .contact-row a { color: white !important; text-decoration: none; }
-.site-footer .contact-row a:hover { color: #ffc533 !important; }
-.site-footer .sep { color: #8ecae6 !important; margin: 0 10px; }
-.site-footer .disclaimer { color: rgba(255,255,255,0.7) !important; font-size: 0.8rem; margin-top: 16px; line-height: 1.6; }
-
-/* ── Mobile ── */
-@media (max-width: 768px) {
-    .hero { padding: 1.5rem 1.2rem 1.2rem; }
-    .hero-logo { height: 90px; }
-    .hero-title { font-size: 1.6rem !important; }
-    .pep-name { font-size: 1.1rem; }
-    .pricing-grid { grid-template-columns: repeat(3, 1fr) !important; }
-    .price-amount { font-size: 1.2rem; }
-}
-@media (max-width: 480px) {
-    .hero-title { font-size: 1.3rem !important; }
-    .pricing-grid { grid-template-columns: repeat(2, 1fr) !important; }
-}
-</style>
-""", unsafe_allow_html=True)
-
-
-# =============================================================================
-# SESSION STATE
-# =============================================================================
-if "pep_results" not in st.session_state:
-    st.session_state["pep_results"] = None
-    st.session_state["pep_goals"] = []
-    st.session_state["pep_top_cats"] = []
-    st.session_state["pep_patient_name"] = ""
-    st.session_state["pep_patient_email"] = ""
-    st.session_state["pep_patient_phone"] = ""
-
-
-# =============================================================================
-# RESULTS PAGE
-# =============================================================================
-if st.session_state["pep_results"]:
-    pname = st.session_state.get("pep_patient_name", "")
-    pemail = st.session_state.get("pep_patient_email", "")
-    pphone = st.session_state.get("pep_patient_phone", "")
-    selected_goals = st.session_state.get("pep_goals", [])
-    top_cats = st.session_state.get("pep_top_cats", [])
-    results = st.session_state["pep_results"]
-
-    # ── Hero ──
-    st.markdown(
-        '<div class="hero">'
-        f'{"<img class=hero-logo src=" + chr(34) + LOGO_B64 + chr(34) + " alt=Ignite />" if LOGO_B64 else ""}'
-        '<div class="hero-title">Peptide Protocol Selector</div>'
-        '<div class="hero-sub">Your Personalized Peptide Recommendations</div>'
-        f'<div class="hero-tagline">Prepared for {pname}</div>'
-        '</div>',
-        unsafe_allow_html=True,
-    )
-
-    # ── Goals summary ──
-    st.markdown('<div class="section-band">Your Health Goals</div>', unsafe_allow_html=True)
-    goals_html = "  ·  ".join(selected_goals)
-    st.markdown(f'<p style="color:#023047;font-size:0.95rem;margin-bottom:8px;">{goals_html}</p>', unsafe_allow_html=True)
-    cats_html = " ".join(f'<span class="cat-pill">{c}</span>' for c in top_cats)
-    st.markdown(f'<div style="display:flex;gap:6px;flex-wrap:wrap;margin-bottom:20px;">{cats_html}</div>', unsafe_allow_html=True)
-
-    # ── Group and display ──
-    branded, blends, singles = group_by_tier(results)
-
-    def render_card(pep_key, score, matched, is_branded=False):
-        pep = PEPTIDES[pep_key]
-        display_name = pep.get("brand_name") or pep_key
-        card_class = "pep-card-branded" if is_branded else "pep-card"
-        badge_class = "pep-badge-branded" if is_branded else "pep-badge"
-        # Only show badge on singles and non-branded blends
-        show_badge = not is_branded
-        badge_text = "BLEND" if pep["is_blend"] else "SINGLE"
-
-        components_str = " + ".join(pep["components"]) if pep["is_blend"] else ""
-        cat_pills = " ".join(f'<span class="cat-pill">{c}</span>' for c in matched)
-
-        sv = pep["suggested_vials"]
-        price_cells = ""
-        for vials in range(1, 7):
-            price = pep["pricing"][vials]
-            is_suggested = vials == sv
-            cell_class = "price-cell-suggested" if is_suggested else "price-cell"
-            suggested_label = '<div class="price-suggested-label">✓ Recommended</div>' if is_suggested else ""
-            per_week = price / max(vials * 4, 1)
-            price_cells += (
-                f'<div class="{cell_class}">'
-                f'<div class="price-vials">{vials} Vial{"s" if vials > 1 else ""}</div>'
-                f'<div class="price-amount">${price:,.2f}</div>'
-                f'<div class="price-per-week">${per_week:,.2f}/wk</div>'
-                f'{suggested_label}'
-                f'</div>'
-            )
-
-        badge_html = f'<div class="{badge_class}">{badge_text}</div>' if show_badge else ""
-        st.markdown(
-            f'<div class="{card_class}">'
-            f'{badge_html}'
-            f'<div class="pep-name">{display_name}</div>'
-            f'{"<div class=pep-components>" + components_str + "</div>" if components_str else ""}'
-            f'<div class="pep-desc">{pep["description"]}</div>'
-            f'<div class="pep-cats">{cat_pills}</div>'
-            f'<div style="display:grid;grid-template-columns:1fr 1fr;gap:12px;margin-bottom:12px;">'
-            f'<div>'
-            f'<div class="pep-label">Dosage</div>'
-            f'<div class="pep-value">{pep["dosage"]}</div>'
-            f'</div>'
-            f'<div>'
-            f'<div class="pep-label">Cycle</div>'
-            f'<div class="pep-value">{pep["cycle"]}</div>'
-            f'</div>'
-            f'</div>'
-            f'<div class="pep-label">Vial Amount: {pep["vial_amount"]}  |  Source: {pep["source"]}</div>'
-            f'<div class="pep-label" style="margin-top:10px;">Pricing</div>'
-            f'<div class="pricing-grid" style="grid-template-columns:repeat(6,1fr)">{price_cells}</div>'
-            f'</div>',
-            unsafe_allow_html=True,
-        )
-
-    if branded:
-        st.markdown('<div class="section-band">Ignite Branded Blends — Recommended</div>', unsafe_allow_html=True)
-        st.markdown(
-            '<p style="color:#4a6070;font-size:0.9rem;margin-bottom:16px;">'
-            'Curated multi-peptide protocols from our proprietary blend line. These combine complementary peptides '
-            'into a single vial for convenience and synergistic benefit.</p>',
-            unsafe_allow_html=True,
-        )
-        for pep_key, score, matched in branded[:6]:
-            render_card(pep_key, score, matched, is_branded=True)
-
-    if blends:
-        st.markdown('<div class="section-band">Combination Blends</div>', unsafe_allow_html=True)
-        for pep_key, score, matched in blends[:4]:
-            render_card(pep_key, score, matched, is_branded=False)
-
-    if singles:
-        st.markdown('<div class="section-band">Individual Peptides</div>', unsafe_allow_html=True)
-        st.markdown(
-            '<p style="color:#4a6070;font-size:0.9rem;margin-bottom:16px;">'
-            'Single-peptide options for targeted protocols or for patients who prefer to build their stack one component at a time.</p>',
-            unsafe_allow_html=True,
-        )
-        for pep_key, score, matched in singles[:4]:
-            render_card(pep_key, score, matched, is_branded=False)
-
-    # ── CTA ──
-    st.markdown(
-        f'<div class="cta-box">'
-        f'<h3>Ready to Get Started, {pname}?</h3>'
-        f'<p>These recommendations are based on your stated goals. All peptide protocols require '
-        f'physician evaluation before we begin. Our team will walk through each option during your consultation, '
-        f'answer your questions, and build a protocol that fits your situation.</p>'
-        f'<p><strong>What happens next:</strong> our team reaches out, we schedule your consultation, '
-        f'and we go from there.</p>'
-        f'<p><strong>Contact:</strong> {pemail} &nbsp;|&nbsp; {pphone}</p>'
-        f'<a class="cta-link" href="{BRAND["scheduling_url"]}" target="_blank">Schedule Your Consultation</a>'
-        f'</div>',
-        unsafe_allow_html=True,
-    )
-
-    # ── PDF Download ──
-    st.markdown('<hr class="styled-hr">', unsafe_allow_html=True)
-    st.markdown("#### Download Your Recommendation")
-
-    if "cached_pep_pdf" not in st.session_state:
-        st.session_state["cached_pep_pdf"] = generate_pdf(
-            {"name": pname, "email": pemail, "phone": pphone},
-            selected_goals,
-            top_cats,
-            results,
-        )
-
-    st.download_button(
-        "Download PDF",
-        data=st.session_state["cached_pep_pdf"],
-        file_name="ignite_peptide_protocol.pdf",
-        mime="application/pdf",
-        use_container_width=True,
-    )
-
-    # ── Start over ──
-    st.markdown('<hr class="styled-hr">', unsafe_allow_html=True)
-    if st.button("Start New Selection", use_container_width=True):
-        for key in ["pep_results", "pep_goals", "pep_top_cats",
-                     "pep_patient_name", "pep_patient_email", "pep_patient_phone",
-                     "cached_pep_pdf"]:
-            if key in st.session_state:
-                del st.session_state[key]
-        st.session_state["pep_results"] = None
-        st.session_state["pep_goals"] = []
-        st.session_state["pep_top_cats"] = []
-        st.session_state["pep_patient_name"] = ""
-        st.session_state["pep_patient_email"] = ""
-        st.session_state["pep_patient_phone"] = ""
-        st.rerun()
-
-    render_footer()
-    st.stop()
-
-
-# =============================================================================
-# INTAKE FORM
-# =============================================================================
-st.markdown(
-    '<div class="hero">'
-    f'{"<img class=hero-logo src=" + chr(34) + LOGO_B64 + chr(34) + " alt=Ignite />" if LOGO_B64 else ""}'
-    '<div class="hero-title">Peptide Protocol Selector</div>'
-    '<div class="hero-sub">Find the Right Peptides for Your Goals</div>'
-    '<div class="hero-tagline">Physician-Supervised  ·  Evidence-Informed  ·  Personalized</div>'
-    '</div>',
-    unsafe_allow_html=True,
-)
-
-st.markdown(
-    "Select your health goals below and we will match you to the peptide protocols that fit best. "
-    "Every recommendation requires physician review before we proceed. "
-    "This is not a prescription tool — it is a starting point for your consultation.",
-)
-
-with st.form("peptide_intake"):
-
-    st.markdown('<div class="section-band">Your Information</div>', unsafe_allow_html=True)
-    c1, c2 = st.columns(2)
-    with c1:
-        first_name = st.text_input("First Name *")
-        email = st.text_input("Email Address *")
-    with c2:
-        last_name = st.text_input("Last Name *")
-        phone = st.text_input("Cell Phone *")
-
-    st.markdown('<div class="section-band">What Are You Looking to Address?</div>', unsafe_allow_html=True)
-    st.caption("Select all goals that apply. We will match peptides to your priorities.")
-
-    # Build flat goal list grouped by category
-    goal_checks = {}
-    cat_keys = list(CATEGORIES.keys())
-    mid = (len(cat_keys) + 1) // 2
-
-    c1, c2 = st.columns(2)
-    with c1:
-        for cat_name in cat_keys[:mid]:
-            cat = CATEGORIES[cat_name]
-            st.markdown(
-                f'<p style="color:#219ebc;font-weight:700;font-size:0.85rem;margin:12px 0 4px;text-transform:uppercase;">'
-                f'{cat_name}</p>',
-                unsafe_allow_html=True,
-            )
-            for goal in cat["goals"]:
-                goal_checks[goal] = st.checkbox(goal, key=f"g_{goal}")
-    with c2:
-        for cat_name in cat_keys[mid:]:
-            cat = CATEGORIES[cat_name]
-            st.markdown(
-                f'<p style="color:#219ebc;font-weight:700;font-size:0.85rem;margin:12px 0 4px;text-transform:uppercase;">'
-                f'{cat_name}</p>',
-                unsafe_allow_html=True,
-            )
-            for goal in cat["goals"]:
-                goal_checks[goal] = st.checkbox(goal, key=f"g_{goal}")
-
-    st.markdown('<div class="section-band">Additional Context</div>', unsafe_allow_html=True)
-    additional = st.text_area(
-        "Anything else we should know? (injuries, current medications, previous peptide experience, etc.)",
-        placeholder="Optional — helps our physician team customize your protocol.",
-    )
-
-    # ── Consent ──
-    st.markdown('<div class="section-band">Consent &amp; Privacy</div>', unsafe_allow_html=True)
-    st.markdown(
-        '<p style="color:#023047;font-size:0.88rem;line-height:1.6;margin-bottom:12px;">'
-        '<strong style="color:#f58300;">Important:</strong> This platform is '
-        '<strong>not HIPAA-compliant</strong>. Do not share sensitive medical records, '
-        'Social Security numbers, or information you would not disclose on a non-secure platform.</p>',
-        unsafe_allow_html=True,
-    )
-    consent = st.checkbox(
-        "I understand this is an informational tool, not a prescription. "
-        "All peptide protocols require physician evaluation and approval.",
-        key="consent",
-    )
-
-    submitted = st.form_submit_button("Find My Peptides", use_container_width=True)
-
-# ── Processing ──
-if submitted:
-    selected_goals = [g for g, checked in goal_checks.items() if checked]
-
-    errors = []
-    if not first_name: errors.append("First Name")
-    if not last_name: errors.append("Last Name")
-    if not email: errors.append("Email Address")
-    if not phone: errors.append("Cell Phone")
-    if not selected_goals: errors.append("At least one health goal")
-    if not consent: errors.append("Consent acknowledgment")
-
-    if errors:
-        st.error(f"Please complete: **{', '.join(errors)}**")
-        st.stop()
-
-    results = score_peptides(selected_goals)
-    top_cats = get_top_categories(selected_goals)
-
-    if not results:
-        st.warning("No peptides matched your selected goals. Please try different selections.")
-        st.stop()
-
-    st.session_state["pep_results"] = results
-    st.session_state["pep_goals"] = selected_goals
-    st.session_state["pep_top_cats"] = top_cats
-    st.session_state["pep_patient_name"] = f"{first_name} {last_name}"
-    st.session_state["pep_patient_email"] = email
-    st.session_state["pep_patient_phone"] = phone
-    st.rerun()
-
-render_footer()