Spaces:
Runtime error
fix(ui): log dock, garment detail layout and image cache
Browse files- Restore `-> dict` return annotation on api_load_dataset so Gradio
serialises each generator yield as an SSE data event (logs were
silently dropped without it).
- Move log console to a fixed bottom dock (.log-dock) with a header
showing live progress, a minimise/expand toggle and a close button;
dock is visible from any tab during dataset loading.
- Redesign garment detail panel as a single column with
object-fit:contain image (no more distorted/cropped previews) and
a clean attribute list below.
- Add _image_url() helper with ?v=<mtime> query param to bust browser
cache when the same garment ID is reused after clearing the catalog.
- Call loadWardrobe() after a successful photo upload so the new
garment appears immediately without a manual refresh.
Co-authored-by: Cursor <cursoragent@cursor.com>
- app.py +22 -7
- src/ui/index.html +26 -12
- src/ui/style.css +82 -44
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@@ -813,11 +813,23 @@ def _build_custom_server():
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server.mount("/garments", StaticFiles(directory=str(_DATA_DIR / "garments")), name="garments")
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@server.api(name="get_wardrobe")
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def api_get_wardrobe() -> dict:
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catalog = load_catalog()
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for g in catalog:
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g["image_url"] =
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return {"garments": catalog, "count": len(catalog)}
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@server.api(name="add_photo")
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@@ -829,7 +841,7 @@ def _build_custom_server():
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return {"garments": [], "count": 0}
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added = add_garments(results)
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for g in added:
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g["image_url"] =
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return {"garments": added, "count": len(added)}
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@server.api(name="get_combinations")
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@@ -845,9 +857,9 @@ def _build_custom_server():
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serialized.append({
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"id": combo["id"],
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"top": {"id": top.get("id", ""), "type": top.get("type", ""),
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"color": top.get("color", ""), "image_url":
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"bottom": {"id": bottom.get("id", ""), "type": bottom.get("type", ""),
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"color": bottom.get("color", ""), "image_url":
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})
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return {"combinations": serialized, "count": len(serialized)}
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return ask(question.strip())
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@server.api(name="load_dataset")
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def api_load_dataset(dataset_key: str):
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"""Stream dataset processing progress as each garment is analyzed.
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Yields progress dicts with: done, count, log[], preview_url.
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The final yield has done=True with the total count.
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"""
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from datasets import load_dataset as hf_load
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ds_configs = {
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"second-hand": {"hf_id": "fnauman/fashion-second-hand-front-only-rgb", "needs_detection": False},
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"fashion-1k": {"hf_id": "Codatta/Fashion-1K", "needs_detection": True},
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@@ -929,7 +944,7 @@ def _build_custom_server():
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garments_processed.append((garment, crop_bytes))
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n = len(garments_processed)
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preview_path = _save_temp_preview(crop_bytes, n)
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preview_url = f"/garments/_preview_{n:03d}.jpg" if preview_path else None
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log_lines.append(f"{n}/{target} — {garment.get('color', '?')} {garment.get('type', '?')}")
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yield {"done": False, "count": n, "log": log_lines[-12:], "preview_url": preview_url}
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else:
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garments_processed.append((garment, crop_bytes))
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n = len(garments_processed)
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preview_path = _save_temp_preview(crop_bytes, n)
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preview_url = f"/garments/_preview_{n:03d}.jpg" if preview_path else None
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log_lines.append(f"{n}/{target} — {garment.get('color', '?')} {garment.get('type', '?')}")
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yield {"done": False, "count": n, "log": log_lines[-12:], "preview_url": preview_url}
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server.mount("/garments", StaticFiles(directory=str(_DATA_DIR / "garments")), name="garments")
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def _image_url(garment_id: str) -> str:
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"""Return a cache-busted URL for a garment image using file mtime."""
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img_path = get_image_path(garment_id)
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if img_path:
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try:
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v = int(os.path.getmtime(img_path))
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except OSError:
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v = 0
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else:
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v = 0
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return f"/garments/{garment_id}.jpg?v={v}"
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@server.api(name="get_wardrobe")
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def api_get_wardrobe() -> dict:
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catalog = load_catalog()
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for g in catalog:
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g["image_url"] = _image_url(g.get("id", ""))
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return {"garments": catalog, "count": len(catalog)}
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@server.api(name="add_photo")
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return {"garments": [], "count": 0}
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added = add_garments(results)
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for g in added:
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g["image_url"] = _image_url(g["id"])
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return {"garments": added, "count": len(added)}
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@server.api(name="get_combinations")
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serialized.append({
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"id": combo["id"],
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"top": {"id": top.get("id", ""), "type": top.get("type", ""),
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"color": top.get("color", ""), "image_url": _image_url(top.get("id", ""))},
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"bottom": {"id": bottom.get("id", ""), "type": bottom.get("type", ""),
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"color": bottom.get("color", ""), "image_url": _image_url(bottom.get("id", ""))},
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})
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return {"combinations": serialized, "count": len(serialized)}
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return ask(question.strip())
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@server.api(name="load_dataset")
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def api_load_dataset(dataset_key: str) -> dict:
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"""Stream dataset processing progress as each garment is analyzed.
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Yields progress dicts with: done, count, log[], preview_url.
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The final yield has done=True with the total count.
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"""
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import time as _time
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from datasets import load_dataset as hf_load
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_load_ts = int(_time.time())
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ds_configs = {
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"second-hand": {"hf_id": "fnauman/fashion-second-hand-front-only-rgb", "needs_detection": False},
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"fashion-1k": {"hf_id": "Codatta/Fashion-1K", "needs_detection": True},
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garments_processed.append((garment, crop_bytes))
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n = len(garments_processed)
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preview_path = _save_temp_preview(crop_bytes, n)
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preview_url = f"/garments/_preview_{n:03d}.jpg?v={_load_ts}" if preview_path else None
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log_lines.append(f"{n}/{target} — {garment.get('color', '?')} {garment.get('type', '?')}")
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yield {"done": False, "count": n, "log": log_lines[-12:], "preview_url": preview_url}
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else:
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garments_processed.append((garment, crop_bytes))
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n = len(garments_processed)
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preview_path = _save_temp_preview(crop_bytes, n)
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preview_url = f"/garments/_preview_{n:03d}.jpg?v={_load_ts}" if preview_path else None
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log_lines.append(f"{n}/{target} — {garment.get('color', '?')} {garment.get('type', '?')}")
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yield {"done": False, "count": n, "log": log_lines[-12:], "preview_url": preview_url}
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@@ -119,18 +119,6 @@
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</button>
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</div>
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<div class="status" :class="datasetStatus.type" x-show="datasetStatus.message" x-text="datasetStatus.message"></div>
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-
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<div class="log-console" x-show="datasetLog.length > 0" x-ref="logConsole">
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<template x-for="(line, i) in datasetLog" :key="i">
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<div class="log-line" x-text="line"></div>
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</template>
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</div>
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<div class="dataset-previews" x-show="datasetPreviews.length > 0">
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<template x-for="(url, i) in datasetPreviews" :key="i">
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<img :src="url" :alt="`Garment ${i + 1}`" loading="lazy">
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</template>
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</div>
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</div>
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</section>
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</div>
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</div>
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</section>
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</div>
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<script>
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datasetLog: [],
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datasetPreviews: [],
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datasetCount: 0,
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// Garment detail
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selectedGarment: null,
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const data = result.data[0];
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if (data.count > 0) {
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this.uploadStatus = { type: 'success', message: `Found ${data.count} garment${data.count > 1 ? 's' : ''}! Check your wardrobe.` };
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} else {
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this.uploadStatus = { type: 'error', message: "Couldn't detect any garments. Try a clearer image." };
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}
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this.datasetLog = [];
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this.datasetPreviews = [];
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this.datasetCount = 0;
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this.datasetStatus = { type: 'loading', message: 'Starting...' };
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try {
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</button>
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</div>
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<div class="status" :class="datasetStatus.type" x-show="datasetStatus.message" x-text="datasetStatus.message"></div>
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</div>
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</section>
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</div>
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</div>
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</section>
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<!-- Log Dock: fixed bottom panel shown during dataset loading -->
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<div class="log-dock" x-show="datasetLog.length > 0" :class="{ minimized: logMinimized }">
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<div class="log-dock-header" @click="logMinimized = !logMinimized">
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<span class="log-dock-title" x-text="datasetLoading ? `Loading dataset — ${datasetCount}/50` : `Done — ${datasetCount} garments added`"></span>
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<div class="log-dock-actions">
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<button class="log-dock-btn" :title="logMinimized ? 'Expand' : 'Minimize'" @click.stop="logMinimized = !logMinimized" x-text="logMinimized ? '▲' : '▼'"></button>
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<button class="log-dock-btn" title="Close" @click.stop="datasetLog = []">✕</button>
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</div>
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</div>
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<div class="log-dock-body" x-show="!logMinimized">
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<div class="log-console" x-ref="logConsole">
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<template x-for="(line, i) in datasetLog" :key="i">
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<div class="log-line" x-text="line"></div>
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</template>
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</div>
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<div class="dataset-previews" x-show="datasetPreviews.length > 0">
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<template x-for="(url, i) in datasetPreviews" :key="i">
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<img :src="url" :alt="`Garment ${i + 1}`" loading="lazy">
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</template>
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</div>
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</div>
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</div>
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</div>
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<script>
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datasetLog: [],
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datasetPreviews: [],
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datasetCount: 0,
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logMinimized: false,
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// Garment detail
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selectedGarment: null,
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const data = result.data[0];
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if (data.count > 0) {
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this.uploadStatus = { type: 'success', message: `Found ${data.count} garment${data.count > 1 ? 's' : ''}! Check your wardrobe.` };
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await this.loadWardrobe();
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} else {
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this.uploadStatus = { type: 'error', message: "Couldn't detect any garments. Try a clearer image." };
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}
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this.datasetLog = [];
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this.datasetPreviews = [];
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this.datasetCount = 0;
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this.logMinimized = false;
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this.datasetStatus = { type: 'loading', message: 'Starting...' };
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try {
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@@ -529,21 +529,20 @@ nav button.active {
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background: var(--surface);
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border-radius: var(--radius);
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box-shadow: var(--shadow-lg);
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max-width:
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width: 100%;
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max-height: 90vh;
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overflow-y: auto;
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display: grid;
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grid-template-columns: 1fr 1fr;
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grid-template-rows: auto 1fr;
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position: relative;
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}
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.detail-close {
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position: absolute;
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top: 0.75rem;
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right: 0.75rem;
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background:
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border: 1px solid var(--border);
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border-radius: 50%;
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width: 32px;
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}
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.detail-image {
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}
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.detail-image img {
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width: 100%;
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height:
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object-fit:
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border-radius: var(--radius) 0 0 var(--radius);
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background: #f3f4f6;
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display: block;
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min-height: 260px;
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}
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.detail-info {
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-
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grid-row: 1 / 3;
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padding: 1.5rem 1.5rem 1.5rem 1.25rem;
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}
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.detail-title {
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font-size:
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font-weight: 600;
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text-transform: capitalize;
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margin-bottom: 0.5rem;
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padding-right: 2rem;
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}
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.detail-description {
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font-size: 0.
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color: var(--text-muted);
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line-height: 1.
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margin-bottom: 1rem;
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font-style: italic;
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}
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.attr-list {
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display: flex;
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flex-direction: column;
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gap: 0.4rem;
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}
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.attr-row {
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display: flex;
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justify-content: space-between;
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align-items: baseline;
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font-size: 0.
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padding: 0.
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border-bottom: 1px solid var(--border);
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}
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color: var(--text-muted);
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font-weight: 500;
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flex-shrink: 0;
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margin-right:
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}
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.attr-val {
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font-weight: 500;
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}
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/* Log
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.log-
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background: #1e1e2e;
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border-radius: var(--radius-sm);
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padding: 0.75rem 1rem;
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margin-top: 0.75rem;
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max-height: 180px;
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overflow-y: auto;
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font-family: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, monospace;
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font-size: 0.78rem;
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| 646 |
scroll-behavior: smooth;
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| 647 |
}
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| 648 |
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| 649 |
.log-line {
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| 650 |
color: #a6e3a1;
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| 651 |
white-space: pre-wrap;
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| 652 |
word-break: break-all;
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@@ -690,25 +739,14 @@ nav button.active {
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| 690 |
}
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| 691 |
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| 692 |
.detail-panel {
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| 693 |
-
|
| 694 |
-
grid-template-rows: auto auto;
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| 695 |
-
max-height: 85vh;
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| 696 |
-
}
|
| 697 |
-
|
| 698 |
-
.detail-image {
|
| 699 |
-
grid-column: 1;
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| 700 |
-
grid-row: 1;
|
| 701 |
}
|
| 702 |
|
| 703 |
.detail-image img {
|
| 704 |
-
border-radius: var(--radius) var(--radius) 0 0;
|
| 705 |
-
min-height: 200px;
|
| 706 |
max-height: 220px;
|
| 707 |
}
|
| 708 |
|
| 709 |
.detail-info {
|
| 710 |
-
grid-column: 1;
|
| 711 |
-
grid-row: 2;
|
| 712 |
padding: 1rem;
|
| 713 |
}
|
| 714 |
}
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|
| 529 |
background: var(--surface);
|
| 530 |
border-radius: var(--radius);
|
| 531 |
box-shadow: var(--shadow-lg);
|
| 532 |
+
max-width: 420px;
|
| 533 |
width: 100%;
|
| 534 |
max-height: 90vh;
|
| 535 |
overflow-y: auto;
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|
| 536 |
position: relative;
|
| 537 |
+
display: flex;
|
| 538 |
+
flex-direction: column;
|
| 539 |
}
|
| 540 |
|
| 541 |
.detail-close {
|
| 542 |
position: absolute;
|
| 543 |
top: 0.75rem;
|
| 544 |
right: 0.75rem;
|
| 545 |
+
background: rgba(255, 255, 255, 0.85);
|
| 546 |
border: 1px solid var(--border);
|
| 547 |
border-radius: 50%;
|
| 548 |
width: 32px;
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|
| 563 |
}
|
| 564 |
|
| 565 |
.detail-image {
|
| 566 |
+
width: 100%;
|
| 567 |
+
background: #f3f4f6;
|
| 568 |
+
border-radius: var(--radius) var(--radius) 0 0;
|
| 569 |
+
overflow: hidden;
|
| 570 |
+
flex-shrink: 0;
|
| 571 |
}
|
| 572 |
|
| 573 |
.detail-image img {
|
| 574 |
width: 100%;
|
| 575 |
+
max-height: 320px;
|
| 576 |
+
object-fit: contain;
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|
| 577 |
display: block;
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|
| 578 |
}
|
| 579 |
|
| 580 |
.detail-info {
|
| 581 |
+
padding: 1.25rem 1.5rem 1.5rem;
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|
| 582 |
}
|
| 583 |
|
| 584 |
.detail-title {
|
| 585 |
+
font-size: 1.05rem;
|
| 586 |
font-weight: 600;
|
| 587 |
text-transform: capitalize;
|
| 588 |
margin-bottom: 0.5rem;
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|
| 589 |
}
|
| 590 |
|
| 591 |
.detail-description {
|
| 592 |
+
font-size: 0.85rem;
|
| 593 |
color: var(--text-muted);
|
| 594 |
+
line-height: 1.55;
|
| 595 |
+
margin-bottom: 1.1rem;
|
| 596 |
font-style: italic;
|
| 597 |
}
|
| 598 |
|
| 599 |
.attr-list {
|
| 600 |
display: flex;
|
| 601 |
flex-direction: column;
|
|
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|
| 602 |
}
|
| 603 |
|
| 604 |
.attr-row {
|
| 605 |
display: flex;
|
| 606 |
justify-content: space-between;
|
| 607 |
align-items: baseline;
|
| 608 |
+
font-size: 0.85rem;
|
| 609 |
+
padding: 0.45rem 0;
|
| 610 |
border-bottom: 1px solid var(--border);
|
| 611 |
}
|
| 612 |
|
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|
| 618 |
color: var(--text-muted);
|
| 619 |
font-weight: 500;
|
| 620 |
flex-shrink: 0;
|
| 621 |
+
margin-right: 1rem;
|
| 622 |
}
|
| 623 |
|
| 624 |
.attr-val {
|
|
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|
| 627 |
font-weight: 500;
|
| 628 |
}
|
| 629 |
|
| 630 |
+
/* Log dock — fixed bottom panel */
|
| 631 |
+
.log-dock {
|
| 632 |
+
position: fixed;
|
| 633 |
+
bottom: 0;
|
| 634 |
+
right: 1.5rem;
|
| 635 |
+
width: min(440px, calc(100vw - 3rem));
|
| 636 |
+
z-index: 200;
|
| 637 |
+
border-radius: var(--radius) var(--radius) 0 0;
|
| 638 |
+
overflow: hidden;
|
| 639 |
+
box-shadow: 0 -4px 24px rgba(0, 0, 0, 0.18);
|
| 640 |
background: #1e1e2e;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 641 |
font-family: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, monospace;
|
| 642 |
+
}
|
| 643 |
+
|
| 644 |
+
.log-dock-header {
|
| 645 |
+
display: flex;
|
| 646 |
+
align-items: center;
|
| 647 |
+
justify-content: space-between;
|
| 648 |
+
padding: 0.55rem 0.85rem;
|
| 649 |
+
background: #2a2a3e;
|
| 650 |
+
cursor: pointer;
|
| 651 |
+
user-select: none;
|
| 652 |
+
gap: 0.5rem;
|
| 653 |
+
}
|
| 654 |
+
|
| 655 |
+
.log-dock-title {
|
| 656 |
font-size: 0.78rem;
|
| 657 |
+
color: #89b4fa;
|
| 658 |
+
font-weight: 500;
|
| 659 |
+
flex: 1;
|
| 660 |
+
overflow: hidden;
|
| 661 |
+
text-overflow: ellipsis;
|
| 662 |
+
white-space: nowrap;
|
| 663 |
+
}
|
| 664 |
+
|
| 665 |
+
.log-dock-actions {
|
| 666 |
+
display: flex;
|
| 667 |
+
gap: 0.35rem;
|
| 668 |
+
flex-shrink: 0;
|
| 669 |
+
}
|
| 670 |
+
|
| 671 |
+
.log-dock-btn {
|
| 672 |
+
background: none;
|
| 673 |
+
border: none;
|
| 674 |
+
color: #6b7280;
|
| 675 |
+
cursor: pointer;
|
| 676 |
+
font-size: 0.75rem;
|
| 677 |
+
padding: 2px 6px;
|
| 678 |
+
border-radius: 4px;
|
| 679 |
+
transition: color var(--transition);
|
| 680 |
+
}
|
| 681 |
+
|
| 682 |
+
.log-dock-btn:hover {
|
| 683 |
+
color: #e5e7eb;
|
| 684 |
+
}
|
| 685 |
+
|
| 686 |
+
.log-dock-body {
|
| 687 |
+
padding: 0.6rem 0.85rem 0.75rem;
|
| 688 |
+
}
|
| 689 |
+
|
| 690 |
+
.log-console {
|
| 691 |
+
max-height: 160px;
|
| 692 |
+
overflow-y: auto;
|
| 693 |
scroll-behavior: smooth;
|
| 694 |
}
|
| 695 |
|
| 696 |
.log-line {
|
| 697 |
+
font-size: 0.78rem;
|
| 698 |
+
line-height: 1.65;
|
| 699 |
color: #a6e3a1;
|
| 700 |
white-space: pre-wrap;
|
| 701 |
word-break: break-all;
|
|
|
|
| 739 |
}
|
| 740 |
|
| 741 |
.detail-panel {
|
| 742 |
+
max-height: 88vh;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 743 |
}
|
| 744 |
|
| 745 |
.detail-image img {
|
|
|
|
|
|
|
| 746 |
max-height: 220px;
|
| 747 |
}
|
| 748 |
|
| 749 |
.detail-info {
|
|
|
|
|
|
|
| 750 |
padding: 1rem;
|
| 751 |
}
|
| 752 |
}
|