outline

app.py

@@ -596,7 +596,7 @@ PROMPT_BULLETS = {
         "Synthesize factual features (Step 1) and behavioral patterns (Step 2) to infer household income bracket",
         "Score location economic indicators: luxury / mid-range / budget venue distribution",
         "Consider transportation mode signals, activity diversity, and temporal flexibility as income proxies",
-        "Output: <code>INCOME_PREDICTION</code> — a single income range with confidence rating (1–5)",
+        "Output: <code>INCOME_PREDICTION</code> — a single income range",
         "Output: <code>INCOME_REASONING</code> — evidence-grounded justification referencing specific mobility observations",
     ],
 }
@@ -948,6 +948,7 @@ def build_agent_cards(selected_id):
 with gr.Blocks(title="HiCoTraj Demo") as app:
     gr.Markdown("## HiCoTraj — Trajectory Visualization & Hierarchical CoT Demo")
     gr.Markdown("*Zero-Shot Demographic Reasoning via Hierarchical Chain-of-Thought Prompting from Trajectory*  ·  ACM SIGSPATIAL GeoGenAgent 2025")
+    gr.HTML("<div style='display:inline-flex;align-items:center;gap:7px;background:#fffbe6;border:1px solid #f0d060;border-radius:8px;padding:6px 14px;font-size:12px;color:#7a6010;margin-bottom:4px;'>&#x1F4BB; <b>Best experienced on a laptop or desktop</b> &mdash; the side-by-side layout requires a wide screen.</div>")
     gr.Markdown("""
 **Dataset:** NUMOSIM[1]
 > [1]Stanford C, Adari S, Liao X, et al. *NUMoSim: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks.* ACM SIGSPATIAL Workshop on Geospatial Anomaly Detection, 2024.