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Update app.py
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app.py
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@@ -6,9 +6,9 @@ import numpy as np
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# Load the saved model
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model = gr.load('maxineattobrah/RealTimeEmotionDetection', src='models')
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# Define the face cascade and emotions
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face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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# Load the saved model
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model = tf.keras.models.load_model('model/model.h5')
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# model = gr.load('maxineattobrah/RealTimeEmotionDetection', src='models')
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# Define the face cascade and emotions
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face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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