Upload app.py with huggingface_hub

app.py

@@ -28,14 +28,13 @@ MODEL_REPO = os.environ.get("DAISYCHAIN_REPO", "DaisyChainAI/daisychain-genomics
 DEVICE = os.environ.get("DAISYCHAIN_DEVICE", "cpu")
 
 # code + tokenizer + router are bundled here; pull the big specialist weights from the
-# model repo on first launch (keeps the Space repo light).
+# (gated) model repo on first launch using the HF_TOKEN Space secret. No silent
+# swallow — if the download fails we want a visible error, not a broken-but-running app.
 if not os.path.exists(os.path.join(HERE, "eukaryote", "model.safetensors")):
-    try:
-        from huggingface_hub import snapshot_download
-        snapshot_download(MODEL_REPO, local_dir=HERE,
-                          allow_patterns=["*/model.safetensors", "tokenizer.json", "router2.pt"])
-    except Exception:
-        pass
+    from huggingface_hub import snapshot_download
+    snapshot_download(MODEL_REPO, local_dir=HERE,
+                      token=os.environ.get("HF_TOKEN"),
+                      allow_patterns=["*/model.safetensors", "tokenizer.json", "router2.pt"])
 
 _DC = {"m": None}            # lazy-loaded so CUDA is never touched at import
 _WARMED = {"done": False}    # so the "loading" notice only shows on the first run