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,model_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(model_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)]