When using OpenCV version4.5.5.64, I get an an error because cv2.imshow() function is not present. But if I upgrade the OpenCV, the code does not run

Question

I am using OpenCV version 4.5.5.64 in which it shows me an error saying cv2.imshow() function is not implemented. But if I upgrade the OpenCV to the latest version, the code does not run and gives me an error.

The below code is giving me this error:

line 31, in align_image
    cv2.imshow("Align Image", capture.get_image())
cv2.error: OpenCV(4.5.4) D:\a\opencv-python\opencv-python\opencv\modules\highgui\src\window.cpp:1274: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage'

I have already uninstalled the opencv-python-headless package. My code:

import cv2
import numpy as np
from tkinter import *
from tkinter import messagebox
import imutils
import easyocr
import csv
from matplotlib import pyplot as plt

class ImageCapture:
    def __init__(self):
        self.cap = cv2.VideoCapture(0)
        self.ret, self.img = self.cap.read()

    def capture_image(self):
        ret, self.img = self.cap.read()

    def release_capture(self):
        self.cap.release()

    def get_image(self):
        return self.img


def align_image():
    capture = ImageCapture()

    messagebox.showinfo("Align Image", "Please align the number plate in the frame. Press any key to capture the image.")

    while True:
        cv2.imshow("Align Image", capture.get_image())
        if cv2.waitKey(1) & 0xFF != 255:
            break

    capture.capture_image()
    capture.release_capture()
    cv2.destroyAllWindows()

    cv2.imwrite("aligned_image.jpg", capture.get_image())
    process_image(capture.get_image())


def process_image(img):
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    bfilter = cv2.bilateralFilter(gray, 11, 17, 17)  # Noise reduction
    edged = cv2.Canny(bfilter, 30, 200)  # Edge detection
    keypoints = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    contours = imutils.grab_contours(keypoints)
    contours = sorted(contours, key=cv2.contourArea, reverse=True)[:10]
    location = None
    for contour in contours:
        approx = cv2.approxPolyDP(contour, 10, True)
        if len(approx) == 4:
            location = approx
            break
    mask = np.zeros(gray.shape, np.uint8)
    new_image = cv2.drawContours(mask, [location], 0, 255, -1)
    new_image = cv2.bitwise_and(img, img, mask=mask)
    (x, y) = np.where(mask == 255)
    (x1, y1) = (np.min(x), np.min(y))
    (x2, y2) = (np.max(x), np.max(y))
    cropped_image = gray[x1:x2 + 1, y1:y2 + 1]
    reader = easyocr.Reader(['en'])
    result = reader.readtext(cropped_image)
    if len(result) > 0:
        text = result[0][-2]
        save_to_csv(text)
        print("Number plate:", text)
        show_image_with_text(img, location, text)
    else:
        print("No number plate detected.")


def save_to_csv(number_plate):
    csv_file = "number_plates.csv"
    with open(csv_file, mode='a', newline='') as file:
        writer = csv.writer(file)
        writer.writerow([number_plate])
    print("Number plate saved to", csv_file)


def show_image_with_text(img, location, text):
    font = cv2.FONT_HERSHEY_SIMPLEX
    cv2.putText(img, text=text, org=(location[0][0][0], location[1][0][1] + 60), fontFace=font, fontScale=1,
                color=(0, 255, 0), thickness=2, lineType=cv2.LINE_AA)
    cv2.rectangle(img, tuple(location[0][0]), tuple(location[2][0]), (0, 255, 0), 3)
    plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB) if len(img.shape) == 3 else img, cmap='gray')
    plt.axis('off')
    plt.show()


window = Tk()
button = Button(text="Capture Image", command=align_image)
button.pack()
window.mainloop()

What is the problem?