diff --git a/deepface/models/demography/Emotion.py b/deepface/models/demography/Emotion.py
index 66d09cc..ac2af29 100644
--- a/deepface/models/demography/Emotion.py
+++ b/deepface/models/demography/Emotion.py
@@ -72,14 +72,16 @@ class EmotionClient(Demography):
         # Preprocessing input image or image list.
         imgs = self._preprocess_batch_or_single_input(img)
 
-        # Preprocess each image and add channel dimension for grayscale images
-        processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=-1)
-
-        # Reshape input for model (expected shape=(n, 48, 48, 1)), where n is the batch size
-        processed_imgs = processed_imgs.reshape(processed_imgs.shape[0], 48, 48, 1)
+        if imgs.shape[0] == 1:
+            # Preprocess single image and add channel dimension for grayscale images
+            processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=0)
+        else:
+            # Preprocess batch of images and add channel dimension for grayscale images
+            processed_imgs = np.expand_dims(np.array([self._preprocess_image(img) for img in imgs]), axis=-1)
+            # Reshape input for model (expected shape=(n, 48, 48, 1)), where n is the batch size
+            processed_imgs = processed_imgs.reshape(processed_imgs.shape[0], 48, 48, 1)
 
         # Prediction
-        # Emotion model input shape is (48, 48, 1, n), where n is the batch size
         predictions = self._predict_internal(processed_imgs)
 
         return predictions