Use samples panel for DeepFashion search demo

demo.py

@@ -6,6 +6,7 @@ from __future__ import annotations
 import os
 import re
 import time
+import math
 from collections import Counter
 from pathlib import Path
 from typing import Any
@@ -334,10 +335,46 @@ def ensure_layouts(dataset: hv.Dataset) -> dict[str, str]:
     return layouts
 
 
+def ensure_catalog_layout(dataset: hv.Dataset) -> str:
+    samples = dataset.samples
+    if not samples:
+        raise RuntimeError("DeepFashion demo has no samples to lay out.")
+
+    categories = sorted({str(sample.metadata.get("category") or sample.label or "unknown") for sample in samples})
+    category_index = {category: index for index, category in enumerate(categories)}
+    category_totals = Counter(str(sample.metadata.get("category") or sample.label or "unknown") for sample in samples)
+    category_seen: Counter[str] = Counter()
+    ids: list[str] = []
+    coords: list[list[float]] = []
+
+    for sample in samples:
+        category = str(sample.metadata.get("category") or sample.label or "unknown")
+        center_angle = (2.0 * math.pi * category_index[category]) / max(1, len(categories))
+        slot = category_seen[category]
+        category_seen[category] += 1
+
+        local_angle = (2.0 * math.pi * slot) / max(1, category_totals[category])
+        local_radius = 0.14 + 0.035 * (slot % 5)
+        center_radius = 4.0
+        coords.append(
+            [
+                center_radius * math.cos(center_angle) + local_radius * math.cos(local_angle),
+                center_radius * math.sin(center_angle) + local_radius * math.sin(local_angle),
+            ]
+        )
+        ids.append(sample.id)
+
+    return dataset.set_coords("euclidean", ids, coords)
+
+
 def build_dataset() -> tuple[hv.Dataset, dict[str, str]]:
     dataset = hv.Dataset(DATASET_NAME)
     add_deepfashion_samples(dataset)
-    layouts = ensure_layouts(dataset) if ENABLE_CONTEXT_MAPS else {}
+    if ENABLE_CONTEXT_MAPS:
+        layouts = ensure_layouts(dataset)
+    else:
+        ensure_catalog_layout(dataset)
+        layouts = {}
     return dataset, layouts