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app.py

@@ -483,7 +483,7 @@ def _saliency_figure(sal, p_mean, net_names=None, net_bounds=None, net_colors=No
     ex = 68 * np.outer(np.cos(u), np.sin(v))
     ey = 85 * np.outer(np.sin(u), np.sin(v)) - 10
     ez = 60 * np.outer(np.ones_like(u), np.cos(v)) + 28
-    ax3.plot_wireframe(ex, ey, ez, color="#252a35", linewidth=0.25, alpha=0.45, zorder=0)
+    ax3.plot_wireframe(ex, ey, ez, color="#4a5568", linewidth=0.5, alpha=0.7, zorder=0)
 
     # Network nodes — size proportional to importance
     imp_norm = (net_imp - net_imp.min()) / (net_imp.max() - net_imp.min() + 1e-9)
@@ -761,7 +761,14 @@ CC200 LOSO AUC = 0.7298 · HO = 0.7212 · AAL = 0.6959 · 1,102 subjects · 20 s
     llm_text = _llm_report(p_mean, per_model, net_saliency=net_saliency)
     if llm_text.startswith("[LLM unavailable") and _demo_key in _DEMO_LLM_CACHE:
         llm_text = _DEMO_LLM_CACHE[_demo_key]
-    llm_block = f'<div style="color:#cbd5e1;font-size:0.85rem;line-height:1.7;white-space:pre-wrap">{llm_text}</div>'
+    import re as _re
+    def _md_to_html(txt):
+        txt = _re.sub(r'^#{1,3}\s*(.+)$', r'<h4 style="color:#94a3b8;margin:1em 0 0.3em;font-size:0.9rem">\1</h4>', txt, flags=_re.MULTILINE)
+        txt = _re.sub(r'\*\*(.+?)\*\*', r'<strong style="color:#e2e8f0">\1</strong>', txt)
+        txt = _re.sub(r'\*(.+?)\*', r'<em>\1</em>', txt)
+        txt = _re.sub(r'\n', '<br>', txt)
+        return txt
+    llm_block = f'<div style="color:#cbd5e1;font-size:0.85rem;line-height:1.7">{_md_to_html(llm_text)}</div>'
     report = f"""
 <div style="background:#0f1a1a;border:1px solid #1a3a3a;border-radius:8px;padding:18px 24px;margin-top:12px">
 <div style="display:flex;align-items:center;gap:10px;margin-bottom:10px">