diff --git a/deepface/models/demography/Age.py b/deepface/models/demography/Age.py
index e449aca..c960159 100644
--- a/deepface/models/demography/Age.py
+++ b/deepface/models/demography/Age.py
@@ -49,7 +49,8 @@ class ApparentAgeClient(Demography):
                 List of images as List[np.ndarray] or
                 Batch of images as np.ndarray (n, 224, 224, 3)
         Returns:
-            np.ndarray (age_classes,) if single image, np.ndarray (n, age_classes) if batched images.
+            np.ndarray (age_classes,) if single image, 
+            np.ndarray (n, age_classes) if batched images.
         """
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
@@ -60,8 +61,9 @@ class ApparentAgeClient(Demography):
         # Calculate apparent ages
         if len(age_predictions.shape) == 1: # Single prediction list
             return find_apparent_age(age_predictions)
-        else: # Batched predictions
-            return np.array([find_apparent_age(age_prediction) for age_prediction in age_predictions])
+
+        return np.array([
+            find_apparent_age(age_prediction) for age_prediction in age_predictions])
 
 
 def load_model(
@@ -106,8 +108,8 @@ def find_apparent_age(age_predictions: np.ndarray) -> np.float64:
     Returns:
         apparent_age (float)
     """
-    assert len(age_predictions.shape) == 1, "Input should be a list of age predictions, \
-                                             not batched. Got shape: {}".format(age_predictions.shape)
+    assert len(age_predictions.shape) == 1, f"Input should be a list of predictions, \
+                                             not batched. Got shape: {age_predictions.shape}"
     output_indexes = np.arange(0, 101)
     apparent_age = np.sum(age_predictions * output_indexes)
     return apparent_age