Update app.py

app.py

@@ -7,13 +7,13 @@ import cv2
 from tensorflow.keras.preprocessing import image
 
 # Pipelining the model
-from transformers import AutoImageProcessor, AutoModelForImageClassification
+#from transformers import AutoImageProcessor, AutoModelForImageClassification
 
-processor = AutoImageProcessor.from_pretrained("microsoft/resnet-50")
-model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")
+#processor = AutoImageProcessor.from_pretrained("microsoft/resnet-50")
+#model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")
 
 # Loading pre-trained model
-# model = tf.keras.models.load_model('Final_Resnet50_Best_model.keras')
+model = tf.keras.models.load_model('ResNet50_Transfer_Learning.keras')
 
 # Emotion labels dictionary
 emotion_labels = {'angry': 0, 'disgust': 1, 'fear': 2, 'happy': 3, 'neutral': 4, 'sad': 5, 'surprise': 6}