remove useless function

app.py

@@ -89,26 +89,41 @@ DATASET_OPTIONS: Dict[str, Dict[str, Any]] = {
 }
 
 
+# Default CT windowing for each dataset
+# Format: {"window_level": center, "window_width": width} or None for MRI
+# CT values are in Hounsfield Units (HU)
+DEFAULT_WINDOWINGS: Dict[str, Optional[Dict[str, int]]] = {
+    "anatomy-ct": {"window_level": 40, "window_width": 400},
+    "anatomy-ct-hard": {"window_level": 40, "window_width": 400},
+    "anatomy-mri": None,
+    "atlas-stroke": None,
+    "covidx-ct": {"window_level": -600, "window_width": 1500},
+    "deep-lesion-site": {"window_level": 40, "window_width": 400},
+    "emidec-classification-mask": None,
+    "ich": {"window_level": 40, "window_width": 80},
+    "ixi": None,
+    "kits": {"window_level": 40, "window_width": 400},
+    "kneeMRI": None,
+    "luna16": {"window_level": -600, "window_width": 1500},
+    "luna16-3D": {"window_level": -600, "window_width": 1500},
+    "oasis": None,
+}
+
+
 # ---------------------------------------------------------------------------
 # Utility helpers
 # ---------------------------------------------------------------------------
 
 
-def resolve_token() -> Optional[str]:
-    """Return the Hugging Face token if configured."""
-
-    return os.environ.get("HF_TOKEN")
-
-
 @lru_cache(maxsize=1)
 def load_processor() -> AutoImageProcessor:
-    token = resolve_token()
+    token = os.environ.get("HF_TOKEN")
     return AutoImageProcessor.from_pretrained(HF_REPO_ID, trust_remote_code=True, token=token)
 
 
 @lru_cache(maxsize=len(HEAD_OPTIONS))
 def load_model(head: str) -> AutoModelForImageClassification:
-    token = resolve_token()
+    token = os.environ.get("HF_TOKEN")
     model = AutoModelForImageClassification.from_pretrained(
         HF_REPO_ID,
         trust_remote_code=True,
@@ -121,7 +136,7 @@ def load_model(head: str) -> AutoModelForImageClassification:
 
 @lru_cache(maxsize=len(DATASET_OPTIONS))
 def load_curia_dataset(subset: str) -> Any:
-    token = resolve_token()
+    token = os.environ.get("HF_TOKEN")
     ds = load_dataset(
         HF_DATASET_ID,
         subset,