Update app.py

app.py

@@ -18,6 +18,17 @@ from transformers import (
 device = "cuda" if torch.cuda.is_available() else "cpu"
 print(f"Using device: {device}")
 
+print(f"🖥️ Using compute device: {device}")
+
+HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_HUB_TOKEN")
+if HF_TOKEN:
+    print("🔐 Hugging Face token detected for gated model access.")
+else:
+    print("⚠️ No Hugging Face token found in env (HF_TOKEN or HUGGINGFACE_HUB_TOKEN).")
+
+print("⏳ Loading SAM3 Models permanently into memory...")
+
+
 # -----------------------------
 # Model loading
 # -----------------------------
@@ -27,8 +38,8 @@ print(f"Using device: {device}")
 #    a HF token that has accepted the model license (e.g. `huggingface-cli login`
 #    or the `HF_TOKEN` env var) or `from_pretrained` will fail to download it.
 SAM3_ID = "facebook/sam3"
-sam3_processor = Sam3Processor.from_pretrained(SAM3_ID)
-sam3_model = Sam3Model.from_pretrained(SAM3_ID).to(device).eval()
+sam3_processor = Sam3Processor.from_pretrained(SAM3_ID, token=HF_TOKEN)
+sam3_model = Sam3Model.from_pretrained(SAM3_ID, token=HF_TOKEN).to(device).eval()
 
 # 2. Depth Anything V2 Large (monocular depth estimation)
 DEPTH_ID = "depth-anything/Depth-Anything-V2-Large-hf"