def read_screen():
        spinner = Halo(text='Reading screen', spinner='bouncingBar')
        spinner.start()
        screenshot_file="Screens/to_ocr.png"
        screen_grab(screenshot_file)

        #prepare argparse
        ap = argparse.ArgumentParser(description='HQ_Bot')
        ap.add_argument("-i", "--image", required=False,default=screenshot_file,help="path to input image to be OCR'd")
        ap.add_argument("-p", "--preprocess", type=str, default="thresh", help="type of preprocessing to be done")
        args = vars(ap.parse_args())

        # load the image
        image = cv2.imread(args["image"])
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

        if args["preprocess"] == "thresh":
                gray = cv2.threshold(gray, 0, 255,
                        cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
        elif args["preprocess"] == "blur":
                gray = cv2.medianBlur(gray, 3)

        # store grayscale image as a temp file to apply OCR
        filename = "Screens/{}.png".format(os.getpid())
        cv2.imwrite(filename, gray)

        # load the image as a PIL/Pillow image, apply OCR, and then delete the temporary file
        pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract-OCR\tesseract.exe'
        #ENG
        #text = pytesseract.image_to_string(Image.open(filename))

        #VIET
        text = pytesseract.image_to_string(Image.open(filename), lang='vie')

        os.remove(filename)
        os.remove(screenshot_file)

        # show the output images

        '''cv2.imshow("Image", image)
        cv2.imshow("Output", gray)
        os.remove(screenshot_file)
        if cv2.waitKey(0):
                cv2.destroyAllWindows()
        print(text)
        '''
        spinner.succeed()
        spinner.stop()
        return text