Fast and useful translation on desktop

import easyocr
import numpy as np
import time
import tkinter as tk
import pyautogui
from win11toast import toast
from transformers import pipeline
import keyboard

# Set not to display if the number of characters is less than a certain number
Letter_cut = 5


translator = pipeline(
    "translation",
    model="facebook/mbart-large-50-one-to-many-mmt",
    src_lang="en_XX",#Adapt to the language you use
    tgt_lang="ja_XX",
)
reader = easyocr.Reader(lang_list=["ja", "en"])

toast("On standby. Press Ctrl+Alt+X to take a screenshot and start OCR.")
while True:
    if keyboard.is_pressed("ctrl+alt+x"):
        img = pyautogui.screenshot("tmp.png")

        toast("Screenshot taken Please wait for the OCR to complete")
        t = time.time()
        result = reader.readtext(np.array(img))

        # Create a transparent main_window
        main_window = tk.Tk()

        main_window.wm_attributes("-transparentcolor", "white")
        main_window.attributes("-topmost", True)
        tk.Frame(main_window, background="white").pack(expand=True, fill=tk.BOTH)
        main_window.attributes("-fullscreen", True)

        filler = tk.Toplevel(main_window)
        filler.overrideredirect(True)  
        filler.transient(main_window) 
        filler.attributes("-alpha", 0.01) 

        def on_configure_let_filler_track(_):
            filler.geometry(
                f"{main_window.winfo_width()}x{main_window.winfo_height()}+{main_window.winfo_rootx()}+{main_window.winfo_rooty()}"
            )
            filler.lower(main_window)

        main_window.bind("<Configure>", on_configure_let_filler_track)
        # Close window by left or right mouse click or keystroke
        filler.bind("<Button-1>", lambda _: main_window.destroy())
        filler.bind("<Button-3>", lambda _: main_window.destroy())
        filler.bind("<Key>", lambda _: main_window.destroy())

        labels = []
        for detection in result:
            print(detection[1])
            top_left = tuple(detection[0][0])
            top_right = tuple(detection[0][1])
            bottom_right = tuple(detection[0][2])
            bottom_left = tuple(detection[0][3])
            text = detection[1]
            if len(text) < Letter_cut:
                continue
            if top_right[0] - top_left[0] < 10 * len(text):
                continue

            text = translator(text)[0]["translation_text"]
            print(text)
            label = tk.Label(main_window, text=text).place(
                x=top_left[0],
                y=top_left[1],
                width=top_right[0] - top_left[0],
                height=bottom_left[1] - top_left[1],
            )
            labels.append(label)

        print("elapsed_time:{0}".format(time.time() - t) + "[sec]")
        main_window.mainloop()
    time.sleep(0.1)