model.py

from tensorflow.keras.models import model_from_json
import numpy as np
import tensorflow as tf

config = tf.compat.v1.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction =0.15
session = tf.compat.v1.Session(config=config)

class FacialExpressionModel(object):

    EMOTIONS_LIST = [ "Angry", "Disgust", "Fear", "Happy", "Neutral", "Sad", "Surprise"]

    def __init__(self, model_json_file, mode_weights_file):
        with open(model_json_file, "r") as json_file:
            loaded_model_json = json_file.read()
            self.loaded_model = model_from_json(loaded_model_json)

        self.loaded_model.load_weights(mode_weights_file)
        #self.loaded_model._make_predict_function()

    def predict_emotion(self, img):
        self.preds = self.loaded_model.predict(img)
        return FacialExpressionModel.EMOTIONS_LIST[np.argmax(self.preds)]