text: import os
  import joblib
  import cv2 as cv
  
  #from pyunpack import Archive
  
  class Mask_Detect:
      
      CURR_DIR  = os.getcwd()
      model_dir = "covid_detector//saved_models//Cringans.pkl"
      harr_data_dir = "haarcascade_frontalface_default.xml"
      
      Colour_Code = {0: (0,255,0), 1: (0,0,255)}
      names = {0 : 'Is wearing a Mask', 1 : 'Is not wearing a Mask'}
  
      def __init__(self):   
          self.model     = joblib.load(os.path.join(self.CURR_DIR,self.model_dir))
          
      def detect_mask(self,X):
          
          try:
              prediction = self.model.predict(X)[0]
              n = self.names[int(prediction)]
  
          except:
              return({"response":{"result":"","color_code":(),"status":False}})
          
          else:
              return({"response":{"result":n,"color_code":self.Colour_Code[int(prediction)],"status":True}})
          
      def train_model(self):pass