Update app.py

app.py

@@ -8,14 +8,14 @@ import numpy as np
 
 # parameters for loading data and images
 detection_model_path = 'haarcascade_frontalface_default.xml'
-#emotion_model_path = '_mini_XCEPTION.102-0.66.hdf5'
-emotion_model_path = 'emotion_detection_model_state.pth'
+emotion_model_path = '_mini_XCEPTION.102-0.66.hdf5'
+#emotion_model_path = 'emotion_detection_model_state.pth'
 
 # hyper-parameters for bounding boxes shape
 # loading models
 face_detection = cv2.CascadeClassifier(detection_model_path)
-emotion_classifier = torch.load(emotion_model_path,map_location=torch.device('cpu'))
-#emotion_classifier = load_model(emotion_model_path, compile=False)
+#emotion_classifier = torch.load(emotion_model_path,map_location=torch.device('cpu'))
+emotion_classifier = load_model(emotion_model_path, compile=False)
 EMOTIONS = ["angry", "disgusted", "scared", "happy", "sad", "surprised",
             "neutral"]