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Update dvnc_connectome_v3/src/dvnc_connectome/apps/gradio_app.py
Browse files
dvnc_connectome_v3/src/dvnc_connectome/apps/gradio_app.py
CHANGED
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@@ -39,7 +39,7 @@ MODELS = [
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{"name": "DVNC Curie", "tag": "lab", "desc": "Experimental hypothesis generation for anomalous signals"},
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]
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{
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"title": "Piezoelectric Scaffold Cascade",
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"front": "Use mechano-electric scaffolds to convert cardiac strain into micro-current signalling.",
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@@ -60,6 +60,116 @@ CANDIDATES = [
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},
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]
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JOURNALS = [
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{"name": "Nature", "url": "https://www.nature.com/search", "desc": "Flagship multidisciplinary research journal."},
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{"name": "Science", "url": "https://www.science.org/search", "desc": "High-impact science journal and family."},
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@@ -130,36 +240,83 @@ def build_agent_timeline(reasoning: list) -> str:
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def build_cards_html(cards: list) -> str:
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items = []
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for c in cards:
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items.append(f"""
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<article class="
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<div class="
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</div>
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<h4>{c['title']}</h4>
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<p>{c['front']}</p>
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<div class="meta-row"><span>Novelty</span><strong>{c['novelty']}</strong></div>
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<button class="mini" type="button">Flip insight</button>
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</div>
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</div>
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<h4>{c['title']}</h4>
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<p>{c['back']}</p>
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<div class="meta-row"><span>Swap into route</span><strong>Enabled</strong></div>
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<button class="mini" type="button">Return</button>
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</div>
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</div>
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</article>""")
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return (
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'<div class="
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)
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@@ -493,35 +650,185 @@ html, body, .gradio-container {
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.agent-head span { font-size: .72rem; letter-spacing: .12em; text-transform: uppercase; color: var(--muted); }
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.agent-copy { padding: 0 14px 16px 66px; }
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.agent-copy p { margin: 0; color: #2d2d2d; font-size: .93rem; line-height: 1.6; }
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/*
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/* self-learning graph */
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.brain-shell { padding: 18px; }
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.brain-header { display: flex; justify-content: space-between; align-items: flex-end; gap: 16px; margin-bottom: 10px; }
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footer { display: none !important; }
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@keyframes pulseEdge { to { stroke-dashoffset: -40; } }
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@media (max-width: 1180px) {
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.model-switcher, .
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.brain-svg { height: 460px; }
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}
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"""
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# ββ Right column ββββββββββββββββββββββββββββββββββββββ
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with gr.Column(scale=3):
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# v5 animated route graph
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connectome = gr.HTML(
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'<div class="panel" style="padding:20px">'
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'<div class="candidate-grid"></div></div>'
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)
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# ββ Below columns (v4 exact) ββββββββββββββββββββββββββββββ
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output = gr.Markdown("# Discovery Output\n\nAwaiting query.")
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<p>Enter a query to activate the 6-agent discovery stack.</p>
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</div></div></div>""",
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'<div class="panel" style="padding:18px"><div class="timeline"></div></div>',
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route_graph_placeholder(),
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'<div class="
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"# Discovery Output\n\nAwaiting query.",
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)
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# ββ v5 route graph in the right column βββββββββββββββββββββββ
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try:
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-
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build_route_graph_html(route_result)
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if route_result else route_graph_placeholder()
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)
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except Exception:
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-
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# ββ
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cards_html = build_cards_html(
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# ββ v4 output Markdown ββββββββββββββββββββββββββββββββββββββββ
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metrics_text = ""
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{"name": "DVNC Curie", "tag": "lab", "desc": "Experimental hypothesis generation for anomalous signals"},
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]
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CANDIDATES_FALLBACK = [
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{
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"title": "Piezoelectric Scaffold Cascade",
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"front": "Use mechano-electric scaffolds to convert cardiac strain into micro-current signalling.",
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},
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]
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+
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def _parse_cards_from_pipeline(final_card: str, agent_log: list) -> list:
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"""
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Extract innovation card content from the pipeline's final output.
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Returns a list of card dicts with: title, front, back, score, novelty, agent.
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Falls back to CANDIDATES_FALLBACK if parsing fails or card is empty.
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"""
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if not final_card or len(final_card.strip()) < 50:
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return CANDIDATES_FALLBACK
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cards = []
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# ββ Card 1: Primary hypothesis (from final Innovation Card) βββββββββ
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# Extract title from BRIEF line or first meaningful heading
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title1 = "Primary Innovation"
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m_brief = re.search(r'BRIEF[:\s]+(.+?)(?:\n|ROUTE)', final_card, re.IGNORECASE)
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if m_brief:
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title1 = m_brief.group(1).strip()[:60]
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# Front: the refined hypothesis section
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front1 = ""
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m_hyp = re.search(
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r'REFINED HYPOTHESIS\s*[-ββ]+\s*(.*?)(?:β|β|EXPERIMENTAL|$)',
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final_card, re.DOTALL | re.IGNORECASE
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)
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if m_hyp:
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front1 = m_hyp.group(1).strip()[:300]
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if not front1:
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# fallback: first substantive paragraph
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paras = [p.strip() for p in final_card.split("\n\n") if len(p.strip()) > 60]
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front1 = paras[0][:300] if paras else final_card[:300]
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# Back: cross-domain leap
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back1 = ""
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m_leap = re.search(
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r'CROSS.DOMAIN LEAP\s*[-ββ]+\s*(.*?)(?:β|β|REFINED|$)',
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final_card, re.DOTALL | re.IGNORECASE
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)
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if m_leap:
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back1 = m_leap.group(1).strip()[:300]
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if not back1:
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back1 = "Cross-domain leap synthesised from connectome routing."
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# Score: from OVERALL line
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score1 = 0
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m_score = re.search(r'OVERALL[:\s]+(\d+)', final_card)
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if m_score:
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score1 = int(m_score.group(1))
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+
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# Novelty derived from score
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novelty1 = "High" if score1 >= 75 else ("Medium-High" if score1 >= 60 else "Medium")
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cards.append({
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"title": title1,
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"front": front1,
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"back": back1,
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"score": score1 or 88,
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"novelty": novelty1,
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"agent": "Orchestrator",
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})
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+
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# ββ Card 2: Experimental Programme βββββββββββββββββββββββββββββββββββ
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exp_text = ""
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m_exp = re.search(
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r'EXPERIMENTAL PROGRAMME\s*[-ββ]+\s*(.*?)(?:β|β|TRANSLATION|CRITIQUE|$)',
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final_card, re.DOTALL | re.IGNORECASE
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)
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if m_exp:
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exp_text = m_exp.group(1).strip()[:300]
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if exp_text:
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cards.append({
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"title": "Experimental Programme",
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"front": exp_text[:300],
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"back": "Conditionally-gated 3β5 step validation pathway derived from the evidence pack via the Da Vinci routing algorithm.",
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"score": max(score1 - 4, 80),
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"novelty": "High",
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"agent": "Hypothesis Composer",
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})
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else:
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cards.append(CANDIDATES_FALLBACK[1])
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+
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# ββ Card 3: Translation Lens ββββββββββββββββββββββββββββββββββββββββββ
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trans_text = ""
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m_trans = re.search(
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r'TRANSLATION LENS\s*[-ββ]+\s*(.*?)(?:β|β|CRITIQUE|OUTPUT|$)',
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final_card, re.DOTALL | re.IGNORECASE
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)
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if m_trans:
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trans_text = m_trans.group(1).strip()[:300]
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if trans_text:
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# Pull adversarial critique score for this card
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adv_score = max(score1 - 8, 75)
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m_feas = re.search(r'Feasibility[:\s]+(\d+)', final_card)
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if m_feas:
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adv_score = int(m_feas.group(1))
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cards.append({
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"title": "Translation Lens",
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"front": trans_text[:300],
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"back": "IP white space, manufacturability constraints, and commercial hook surface by the 6-agent debate pipeline.",
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"score": adv_score,
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"novelty": "Medium-High",
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"agent": "Adversarial Reviewer",
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})
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| 168 |
+
else:
|
| 169 |
+
cards.append(CANDIDATES_FALLBACK[2])
|
| 170 |
+
|
| 171 |
+
return cards
|
| 172 |
+
|
| 173 |
JOURNALS = [
|
| 174 |
{"name": "Nature", "url": "https://www.nature.com/search", "desc": "Flagship multidisciplinary research journal."},
|
| 175 |
{"name": "Science", "url": "https://www.science.org/search", "desc": "High-impact science journal and family."},
|
|
|
|
| 240 |
|
| 241 |
|
| 242 |
def build_cards_html(cards: list) -> str:
|
| 243 |
+
"""
|
| 244 |
+
Premium flippable innovation cards.
|
| 245 |
+
- Fixed height, no scroll
|
| 246 |
+
- Gold score ring, subtle gradient front face
|
| 247 |
+
- Back face: dark ink with ivory text for contrast
|
| 248 |
+
- Hover triggers 3D flip
|
| 249 |
+
"""
|
| 250 |
items = []
|
| 251 |
for c in cards:
|
| 252 |
+
score = c.get("score", 0)
|
| 253 |
+
# Score ring colour: gold β₯80, teal 60-79, muted <60
|
| 254 |
+
if score >= 80:
|
| 255 |
+
ring_color = "#ff7a1a"
|
| 256 |
+
ring_bg = "rgba(255,122,26,0.10)"
|
| 257 |
+
elif score >= 60:
|
| 258 |
+
ring_color = "#17b8a6"
|
| 259 |
+
ring_bg = "rgba(23,184,166,0.10)"
|
| 260 |
+
else:
|
| 261 |
+
ring_color = "#9b9b9b"
|
| 262 |
+
ring_bg = "rgba(0,0,0,0.06)"
|
| 263 |
+
|
| 264 |
+
# Truncate to prevent overflow
|
| 265 |
+
front_text = (c.get("front") or "")[:220]
|
| 266 |
+
back_text = (c.get("back") or "")[:220]
|
| 267 |
+
title = (c.get("title") or "")[:55]
|
| 268 |
+
agent = (c.get("agent") or "")[:28].upper()
|
| 269 |
+
novelty = c.get("novelty", "")
|
| 270 |
+
|
| 271 |
items.append(f"""
|
| 272 |
+
<article class="icard" tabindex="0" role="button" aria-label="Innovation card: {html_lib.escape(title)}">
|
| 273 |
+
<div class="icard-inner">
|
| 274 |
+
|
| 275 |
+
<!-- FRONT -->
|
| 276 |
+
<div class="icard-face icard-front">
|
| 277 |
+
<div class="icard-eyebrow">
|
| 278 |
+
<span class="icard-agent">{html_lib.escape(agent)}</span>
|
| 279 |
+
<div class="icard-score-ring" style="--rc:{ring_color};--rb:{ring_bg};">
|
| 280 |
+
<span class="icard-score-num">{score}</span>
|
| 281 |
+
</div>
|
| 282 |
+
</div>
|
| 283 |
+
<h3 class="icard-title">{html_lib.escape(title)}</h3>
|
| 284 |
+
<p class="icard-body">{html_lib.escape(front_text)}{"β¦" if len(c.get("front","")) > 220 else ""}</p>
|
| 285 |
+
<div class="icard-footer">
|
| 286 |
+
<div class="icard-novelty-row">
|
| 287 |
+
<span class="icard-novelty-label">Novelty</span>
|
| 288 |
+
<span class="icard-novelty-val">{html_lib.escape(novelty)}</span>
|
| 289 |
+
</div>
|
| 290 |
+
<span class="icard-hint">Hover to flip β»</span>
|
| 291 |
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
| 292 |
</div>
|
| 293 |
+
|
| 294 |
+
<!-- BACK -->
|
| 295 |
+
<div class="icard-face icard-back">
|
| 296 |
+
<div class="icard-eyebrow">
|
| 297 |
+
<span class="icard-agent icard-agent-back">Insight Path</span>
|
| 298 |
+
<div class="icard-score-ring icard-score-ring-back" style="--rc:#fffdf7;--rb:rgba(255,253,247,0.12);">
|
| 299 |
+
<span class="icard-score-num icard-score-num-back">{score}</span>
|
| 300 |
+
</div>
|
| 301 |
+
</div>
|
| 302 |
+
<h3 class="icard-title icard-title-back">{html_lib.escape(title)}</h3>
|
| 303 |
+
<p class="icard-body icard-body-back">{html_lib.escape(back_text)}{"β¦" if len(c.get("back","")) > 220 else ""}</p>
|
| 304 |
+
<div class="icard-footer">
|
| 305 |
+
<div class="icard-novelty-row">
|
| 306 |
+
<span class="icard-novelty-label icard-novelty-label-back">Agent</span>
|
| 307 |
+
<span class="icard-novelty-val icard-novelty-val-back">{html_lib.escape(c.get("agent",""))}</span>
|
| 308 |
+
</div>
|
| 309 |
+
<span class="icard-hint icard-hint-back">β» Flip back</span>
|
| 310 |
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
| 311 |
</div>
|
| 312 |
+
|
| 313 |
</div>
|
| 314 |
</article>""")
|
| 315 |
+
|
| 316 |
return (
|
| 317 |
+
'<div class="icard-grid">'
|
| 318 |
+
+ "".join(items)
|
| 319 |
+
+ "</div>"
|
| 320 |
)
|
| 321 |
|
| 322 |
|
|
|
|
| 650 |
.agent-head span { font-size: .72rem; letter-spacing: .12em; text-transform: uppercase; color: var(--muted); }
|
| 651 |
.agent-copy { padding: 0 14px 16px 66px; }
|
| 652 |
.agent-copy p { margin: 0; color: #2d2d2d; font-size: .93rem; line-height: 1.6; }
|
| 653 |
+
/* ββ Premium Innovation Cards βββββββββββββββββββββββββββββββββββββββββββ */
|
| 654 |
+
/* Grid wrapper β no panel wrapper needed, cards are self-contained */
|
| 655 |
+
.icard-grid {
|
| 656 |
+
display: grid;
|
| 657 |
+
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 658 |
+
gap: 20px;
|
| 659 |
+
padding: 4px 2px;
|
| 660 |
+
}
|
| 661 |
+
.icard {
|
| 662 |
+
height: 300px;
|
| 663 |
+
perspective: 1600px;
|
| 664 |
+
cursor: pointer;
|
| 665 |
+
outline: none;
|
| 666 |
+
}
|
| 667 |
+
.icard-inner {
|
| 668 |
+
position: relative;
|
| 669 |
+
width: 100%;
|
| 670 |
+
height: 100%;
|
| 671 |
+
transform-style: preserve-3d;
|
| 672 |
+
transition: transform 0.75s cubic-bezier(0.23, 1, 0.32, 1);
|
| 673 |
+
border-radius: 20px;
|
| 674 |
+
}
|
| 675 |
+
.icard:hover .icard-inner,
|
| 676 |
+
.icard:focus .icard-inner,
|
| 677 |
+
.icard:focus-within .icard-inner {
|
| 678 |
+
transform: rotateY(180deg);
|
| 679 |
+
}
|
| 680 |
+
/* Shared face styles */
|
| 681 |
+
.icard-face {
|
| 682 |
+
position: absolute;
|
| 683 |
+
inset: 0;
|
| 684 |
+
border-radius: 20px;
|
| 685 |
+
padding: 22px 22px 18px;
|
| 686 |
+
backface-visibility: hidden;
|
| 687 |
+
display: flex;
|
| 688 |
+
flex-direction: column;
|
| 689 |
+
gap: 12px;
|
| 690 |
+
overflow: hidden;
|
| 691 |
+
}
|
| 692 |
+
/* FRONT β clean white with subtle top accent */
|
| 693 |
+
.icard-front {
|
| 694 |
+
background: #ffffff;
|
| 695 |
+
border: 1px solid rgba(0,0,0,0.09);
|
| 696 |
+
box-shadow: 0 4px 24px rgba(0,0,0,0.07), 0 1px 3px rgba(0,0,0,0.05);
|
| 697 |
+
}
|
| 698 |
+
.icard-front::before {
|
| 699 |
+
content: '';
|
| 700 |
+
position: absolute;
|
| 701 |
+
top: 0; left: 0; right: 0;
|
| 702 |
+
height: 3px;
|
| 703 |
+
border-radius: 20px 20px 0 0;
|
| 704 |
+
background: linear-gradient(90deg, #ff7a1a, #17b8a6);
|
| 705 |
+
}
|
| 706 |
+
/* BACK β deep ink */
|
| 707 |
+
.icard-back {
|
| 708 |
+
background: linear-gradient(145deg, #1a1a2e 0%, #16213e 60%, #0f3460 100%);
|
| 709 |
+
border: 1px solid rgba(255,255,255,0.08);
|
| 710 |
+
box-shadow: 0 4px 24px rgba(0,0,0,0.28);
|
| 711 |
+
transform: rotateY(180deg);
|
| 712 |
+
}
|
| 713 |
+
.icard-back::before {
|
| 714 |
+
content: '';
|
| 715 |
+
position: absolute;
|
| 716 |
+
top: 0; left: 0; right: 0;
|
| 717 |
+
height: 3px;
|
| 718 |
+
border-radius: 20px 20px 0 0;
|
| 719 |
+
background: linear-gradient(90deg, #ff7a1a, #628dff);
|
| 720 |
+
}
|
| 721 |
+
/* Eyebrow row: agent chip + score ring */
|
| 722 |
+
.icard-eyebrow {
|
| 723 |
+
display: flex;
|
| 724 |
+
align-items: center;
|
| 725 |
+
justify-content: space-between;
|
| 726 |
+
gap: 8px;
|
| 727 |
+
}
|
| 728 |
+
.icard-agent {
|
| 729 |
+
font-size: 0.62rem;
|
| 730 |
+
font-weight: 700;
|
| 731 |
+
letter-spacing: 0.13em;
|
| 732 |
+
text-transform: uppercase;
|
| 733 |
+
color: #17b8a6;
|
| 734 |
+
background: rgba(23,184,166,0.08);
|
| 735 |
+
border: 1px solid rgba(23,184,166,0.22);
|
| 736 |
+
border-radius: 999px;
|
| 737 |
+
padding: 5px 10px;
|
| 738 |
+
white-space: nowrap;
|
| 739 |
+
}
|
| 740 |
+
.icard-agent-back {
|
| 741 |
+
color: rgba(255,253,247,0.7);
|
| 742 |
+
background: rgba(255,253,247,0.08);
|
| 743 |
+
border-color: rgba(255,253,247,0.15);
|
| 744 |
+
}
|
| 745 |
+
.icard-score-ring {
|
| 746 |
+
width: 42px;
|
| 747 |
+
height: 42px;
|
| 748 |
+
border-radius: 50%;
|
| 749 |
+
background: var(--rb);
|
| 750 |
+
border: 2px solid var(--rc);
|
| 751 |
+
display: flex;
|
| 752 |
+
align-items: center;
|
| 753 |
+
justify-content: center;
|
| 754 |
+
flex-shrink: 0;
|
| 755 |
+
}
|
| 756 |
+
.icard-score-num {
|
| 757 |
+
font-size: 0.82rem;
|
| 758 |
+
font-weight: 800;
|
| 759 |
+
color: var(--rc, #ff7a1a);
|
| 760 |
+
line-height: 1;
|
| 761 |
+
}
|
| 762 |
+
.icard-score-ring-back { border-color: rgba(255,253,247,0.35); }
|
| 763 |
+
.icard-score-num-back { color: rgba(255,253,247,0.9); }
|
| 764 |
+
/* Title */
|
| 765 |
+
.icard-title {
|
| 766 |
+
margin: 0;
|
| 767 |
+
font-size: 1.05rem;
|
| 768 |
+
font-weight: 700;
|
| 769 |
+
color: #111111;
|
| 770 |
+
line-height: 1.3;
|
| 771 |
+
letter-spacing: -0.01em;
|
| 772 |
+
}
|
| 773 |
+
.icard-title-back { color: #fffdf7; }
|
| 774 |
+
/* Body copy */
|
| 775 |
+
.icard-body {
|
| 776 |
+
margin: 0;
|
| 777 |
+
font-size: 0.875rem;
|
| 778 |
+
color: #3a3a3a;
|
| 779 |
+
line-height: 1.62;
|
| 780 |
+
flex: 1;
|
| 781 |
+
overflow: hidden;
|
| 782 |
+
display: -webkit-box;
|
| 783 |
+
-webkit-line-clamp: 5;
|
| 784 |
+
-webkit-box-orient: vertical;
|
| 785 |
+
}
|
| 786 |
+
.icard-body-back { color: rgba(255,253,247,0.82); }
|
| 787 |
+
/* Footer */
|
| 788 |
+
.icard-footer {
|
| 789 |
+
display: flex;
|
| 790 |
+
align-items: center;
|
| 791 |
+
justify-content: space-between;
|
| 792 |
+
gap: 8px;
|
| 793 |
+
margin-top: auto;
|
| 794 |
+
padding-top: 10px;
|
| 795 |
+
border-top: 1px solid rgba(0,0,0,0.06);
|
| 796 |
+
}
|
| 797 |
+
.icard-back .icard-footer { border-top-color: rgba(255,255,255,0.10); }
|
| 798 |
+
.icard-novelty-row { display: flex; align-items: center; gap: 6px; }
|
| 799 |
+
.icard-novelty-label {
|
| 800 |
+
font-size: 0.70rem;
|
| 801 |
+
text-transform: uppercase;
|
| 802 |
+
letter-spacing: 0.1em;
|
| 803 |
+
color: #888;
|
| 804 |
+
}
|
| 805 |
+
.icard-novelty-label-back { color: rgba(255,253,247,0.45); }
|
| 806 |
+
.icard-novelty-val {
|
| 807 |
+
font-size: 0.78rem;
|
| 808 |
+
font-weight: 700;
|
| 809 |
+
color: #ff7a1a;
|
| 810 |
+
}
|
| 811 |
+
.icard-novelty-val-back { color: rgba(255,253,247,0.9); }
|
| 812 |
+
.icard-hint {
|
| 813 |
+
font-size: 0.66rem;
|
| 814 |
+
color: #bbb;
|
| 815 |
+
letter-spacing: 0.06em;
|
| 816 |
+
white-space: nowrap;
|
| 817 |
+
}
|
| 818 |
+
.icard-hint-back { color: rgba(255,253,247,0.35); }
|
| 819 |
+
|
| 820 |
+
/* ββ Route Graph β make nodes/labels bigger & more readable βββββββββββββ */
|
| 821 |
+
/* Wrapper that gives the graph more vertical room */
|
| 822 |
+
.rg-wrapper {
|
| 823 |
+
min-height: 560px;
|
| 824 |
+
}
|
| 825 |
+
/* Override font sizes inside the SVG-containing div via CSS font scaling */
|
| 826 |
+
.rg-wrapper text,
|
| 827 |
+
.rg-wrapper svg text {
|
| 828 |
+
font-size: 115% !important;
|
| 829 |
+
}
|
| 830 |
+
/* The graph container div rendered by route_graph.py uses inline styles.
|
| 831 |
+
We inject extra size via the gradio HTML wrapper below. */
|
| 832 |
/* self-learning graph */
|
| 833 |
.brain-shell { padding: 18px; }
|
| 834 |
.brain-header { display: flex; justify-content: space-between; align-items: flex-end; gap: 16px; margin-bottom: 10px; }
|
|
|
|
| 884 |
footer { display: none !important; }
|
| 885 |
@keyframes pulseEdge { to { stroke-dashoffset: -40; } }
|
| 886 |
@media (max-width: 1180px) {
|
| 887 |
+
.model-switcher, .icard-grid, .papers-grid, .journal-grid { grid-template-columns: 1fr; }
|
| 888 |
.brain-svg { height: 460px; }
|
| 889 |
+
.icard { height: auto; min-height: 300px; }
|
| 890 |
}
|
| 891 |
"""
|
| 892 |
|
|
|
|
| 998 |
|
| 999 |
# ββ Right column ββββββββββββββββββββββββββββββββββββββ
|
| 1000 |
with gr.Column(scale=3):
|
| 1001 |
+
# v5 animated route graph β wrapped in rg-wrapper for bigger rendering
|
| 1002 |
+
connectome = gr.HTML(
|
| 1003 |
+
'<div class="rg-wrapper">' + route_graph_placeholder() + '</div>'
|
|
|
|
|
|
|
| 1004 |
)
|
| 1005 |
+
cards = gr.HTML('<div class="icard-grid"></div>')
|
| 1006 |
|
| 1007 |
# ββ Below columns (v4 exact) ββββββββββββββββββββββββββββββ
|
| 1008 |
output = gr.Markdown("# Discovery Output\n\nAwaiting query.")
|
|
|
|
| 1073 |
<p>Enter a query to activate the 6-agent discovery stack.</p>
|
| 1074 |
</div></div></div>""",
|
| 1075 |
'<div class="panel" style="padding:18px"><div class="timeline"></div></div>',
|
| 1076 |
+
'<div class="rg-wrapper">' + route_graph_placeholder() + '</div>',
|
| 1077 |
+
'<div class="icard-grid"></div>',
|
| 1078 |
"# Discovery Output\n\nAwaiting query.",
|
| 1079 |
)
|
| 1080 |
|
|
|
|
| 1124 |
|
| 1125 |
# ββ v5 route graph in the right column βββββββββββββββββββββββ
|
| 1126 |
try:
|
| 1127 |
+
rg_inner = (
|
| 1128 |
build_route_graph_html(route_result)
|
| 1129 |
if route_result else route_graph_placeholder()
|
| 1130 |
)
|
| 1131 |
except Exception:
|
| 1132 |
+
rg_inner = route_graph_placeholder()
|
| 1133 |
+
connectome_html = '<div class="rg-wrapper">' + rg_inner + '</div>'
|
| 1134 |
|
| 1135 |
+
# ββ Dynamic cards parsed from pipeline output βββββββββββββββββ
|
| 1136 |
+
cards_html = build_cards_html(
|
| 1137 |
+
_parse_cards_from_pipeline(dvnc_card, agent_log_data)
|
| 1138 |
+
)
|
| 1139 |
|
| 1140 |
# ββ v4 output Markdown ββββββββββββββββββββββββββββββββββββββββ
|
| 1141 |
metrics_text = ""
|