Changed prediction label assignment for OpenVINO inferencer (#1872)

* Update openvino_inferencer.py

Fixed incorrect label assignment.
Was True/False, now it's "Anomalous/Normal" as for the PyTorch inferencer in torch_inferencer.py

* Fix ruff

---------

Co-authored-by: Samet <[email protected]>

src/anomalib/deploy/inferencers/openvino_inferencer.py

@@ -15,6 +15,7 @@
 from PIL import Image
 
 from anomalib import TaskType
+from anomalib.data.utils.label import LabelName
 from anomalib.utils.visualization import ImageResult
 
 from .base_inferencer import Inferencer
@@ -253,7 +254,7 @@ def post_process(self, predictions: np.ndarray, metadata: dict | DictConfig | No
 
         # Initialize the result variables.
         anomaly_map: np.ndarray | None = None
-        pred_label: float | None = None
+        pred_label: LabelName | None = None
         pred_mask: float | None = None
 
         # If predictions returns a single value, this means that the task is
@@ -270,7 +271,8 @@ def post_process(self, predictions: np.ndarray, metadata: dict | DictConfig | No
         # label to the prediction if the prediction score is greater
         # than the image threshold.
         if "image_threshold" in metadata:
-            pred_label = pred_score >= metadata["image_threshold"]
+            pred_idx = pred_score >= metadata["image_threshold"]
+            pred_label = LabelName.ABNORMAL if pred_idx else LabelName.NORMAL
 
         if task == TaskType.CLASSIFICATION:
             _, pred_score = self._normalize(pred_scores=pred_score, metadata=metadata)