convert image rgb2hsv

def hsv_to_rgb(R,G,B):


    def get_H():
        if B < G:
            return get_c()
        else:
            return 360 - get_c()

    def get_S():
        if R+G+B == 0:
            return "undef"
        return 1-(3/(R+G+B))*min(R, G, B)

    def get_I():
        return (R+G+B)/3

    def get_c():
        return math.acos((2*R-G-B)/(2*math.sqrt((R-G)**2+(R-B)*(G-B))))

    return get_H(), get_S(), get_I()

# Ejemplo
values = [(100, 0, 0), (0, 60, 0), (0, 0, 240), (122, 121, 122), (2, 243, 4)]

for pair in values:
    R, G, B = pair
    print("\n---------")
    print("R: {} | G: {} | B: {}".format(R, G, B))
    H, S, I = hsv_to_rgb(R, G, B)
    print("\n---------")
    print("H: {0:.4f}".format(H))
    print("S: {0:.4f}".format(S))
    print("I: {0:.4f}".format(I))
    print("---------\n")



def my_rgb2cmy(im):
    CMY = 255-im
    return CMY

def my_cmy2rgb(im):
    RGB = 255-im
    return RGB


Im = Image.open('build.jpg')
Im_a = np.array(Im)
plt.figure()
plt.imshow(Im_a)
plt.title('IMAGEN ORIGINAL')
plt.axis("off")

Im_cmy = my_cmy2rgb(Im_a)
plt.figure()
plt.imshow(Im_cmy)
plt.title('IMAGEN  CMY')
plt.axis("off")

Im_hsi = hsv_to_rgb(Im_cmy)
plt.figure()
plt.imshow(Im_hsi)
plt.title('IMAGEN  HSI')
plt.axis("off")

The code only lacks the part in which it converts an image to HSV (HSI) but I still have this error:

  Im_hsi = hsv_to_rgb(Im_cmy)

TypeError: hsv_to_rgb() missing 2 required positional arguments: 'G' and 'B'

I know I have to input the RGB channels so that I receive the parameter, but I have not managed to get it done.

if I do

R: im[:,:0]
G: im[:,:1]
B: im[:,:2]

I get an error.

I need help with this!