main .py

import extcolors
from rembg import remove
from PIL import Image

def text_to_dict() -> dict:
    path = "./colors.txt"
    with open(path, 'r') as f:
        data = f.readlines()
        colors = {}
        for arr in data:
            arr = arr.replace('\n', '')
            arr = arr.replace('[', '(')
            arr = arr.replace(']', ')')
            idx = arr.find(')')
            rgb_str = arr[idx + 2:]
            rgb = arr[1:idx]
            rgb = rgb.replace(',', '').split(' ')
            rgb_tup = int(rgb[0]), int(rgb[1]), int(rgb[2])
            colors[rgb_tup] = rgb_str
    return colors

def get_me_a_name(color: tuple) -> str:
    r, g, b = color
    remember = 1000
    res = ''
    for k, v in text_to_dict().items():
        r_delta = abs(k[0] - r)
        g_delta = abs(k[1] - g)
        b_delta = abs(k[2] - b)
        tmp = r_delta + g_delta + b_delta
        if tmp < remember:
            remember = tmp
            res = v
    return res

def dominante_color(color_arr: list) -> str:
    dicti = {}
    for color in color_arr:
        print(color)
        name = get_me_a_name(color[0])
        pixel_count = int(color[1])
        if name in dicti:
            dicti[name] += pixel_count
        else:
            dicti[name] = pixel_count
    max = 0
    res = ''
    print(dicti)
    for k, v in dicti.items():
        if v > max:
            res = k
            max = v
    return res

def extract_color(in_path: str)-> str:
    # out_path = in_path[:in_path.find('.')] + '_nobg' + '.png'
    input_img = Image.open(in_path)
    output_img = remove(input_img)
    color, pixelcount = extcolors.extract_from_image(output_img)
    return dominante_color(color)
    # output_img.save(out_path)


in_path = "C:/Users/USER/Desktop/hmgoepprod.webp"
print(extract_color(in_path))