added the keras

app.py

@@ -6,7 +6,7 @@ import numpy as np
 from PIL import Image
 import cv2
 from tensorflow.keras.preprocessing import image
-
+import keras
 
 emotion_labels = {'angry': 0, 'disgust': 1, 'fear': 2, 'happy': 3, 'neutral': 4, 'sad': 5, 'surprise': 6}
 index_to_emotion = {v: k for k, v in emotion_labels.items()}
@@ -15,7 +15,7 @@ model = keras.models.load_model('ED_model_RT_19.keras')
 
 
 def prepare_image(img_pil):
-    """Preprocess the PIL image to fit your model's input requirements."""
+   
     # Convert the PIL image to a numpy array with the target size
     img = img_pil.resize((224, 224))
     img_array = img_to_array(img)