Récupérer les données d'un fichier txt après l'input

Bonjour, à tous je veux récupérer les données dans un fichier txt à partir d'un input pour les utilisés ensuite.

Je m'explique, je voudrais récupérer les valeurs de coordonnées x et y de mon fichier txt avec la fonction input

mon fichier suivant le lien: https://drive.google.com/file/d/1-hAsughOfG8juqCgvii8PzTDayFR3xe4/view?usp=sharing

D'avance merci!

voila mon code 

import matplotlib.pyplot
import csv


def equdroite(x0, y0, x1, y1):
    a = y1 - y0
    b = x0 - x1
    c = -(b * y0 + a * x0)
    #     print("verif00:",sign(x0,y0,a,b,c),sign(x1,y1,a,b,c))
    return a, b, c


def inside(Poly, p):
    for P in Poly:
        a, b, c, s, x, y = P[0], P[1], P[2], P[3], pp[0], pp[1]
        if s * sign(x, y, a, b, c) < 0:
            #             print("outside:",a,b,c,s,x,y)
            return False
    return True


def sign(x, y, a, b, c):
    return a * x + b * y + c


# Les 4 coordonnées sources

from tkinter import filedialog


def prompt_filename():
    return filedialog.askopenfilename(
        initialdir="/", title="Sélectionner le fichier source",
        filetypes=(
            ("Fichier texte", "*.txt"),
            ("Fichier csv", "*.csv")
        )
    )


def read_coords(f_coordsource):
    coordsource = list()
    for line in f_coordsource:
        print(line.strip())
        # ...
    return coordsource


filename_coords = prompt_filename()
with open(filename_coords, "r") as f_coords:
    (x, y) = coords = read_coords(f_coords)

...

# x = 325010, 325015, 325015, 325010
# y = 2077560, 2077560, 2077555, 2077555
# L'emprise du projet
A = [324989.345, 324987.133, 324987.502, 325037.452, 325035.977, 324989.345]
B = [2077586.246, 2077553.622, 2077537.955, 2077537.402, 2077589.933, 2077586.246]
# A = [324989.345,  324987.133,  324980,  325037.452,  325035.977,  324989.345]
# B = [2077586.246, 2077553.622, 2077800, 2077537.402, 2077589.933, 2077586.246]
# avgA,avgB=sum(A)/len(A),sum(B)/len(B)
# # print ("avg:",avgA,avgB)
# A=[x-avgA for x in A]
# B=[x-avgB for x in B]
# x=[x-avgA for x in x]
# y=[x-avgB for x in y]
sg = 5
nc = len(A) - 1
E = []
for p0 in range(nc):
    p1 = (p0 + 1) % nc
    p2 = (p0 + int(nc / 2)) % nc
    a, b, c = equdroite(A[p0], B[p0], A[p1], B[p1])
    s = sign(A[p2], B[p2], a, b, c)
    #     print("inloop:",p0,a,b,c,s)
    E.append([a, b, c, s, p0, p1])
# print("E:",E)
for p in range(nc):
    for C in E:
        if p != C[4] and p != C[5]:
            a, b, c, s, xp, yp = C[0], C[1], C[2], C[3], A[p], B[p]
            v = sign(xp, yp, a, b, c)
            if s * v < 0:
                #             print("outside:",a,b,c,s,xp,yp)
                print("OUPS!", s, v)
matplotlib.pyplot.plot(A, B)
matplotlib.pyplot.scatter(x, y, color="r")
matplotlib.pyplot.axis("equal")
matplotlib.pyplot.grid()

phg = (int(min(A) / sg) * sg, int(min(B) / sg) * sg)
pbd = (int(max(A) / sg + 1) * sg, int(max(B) / sg + 1) * sg)
nrow = int((pbd[0] - phg[0]) / sg) + 1
ncol = int((pbd[1] - phg[1]) / sg) + 1
# print(phg)
# print(nrow,ncol)
prouge = []
for row in range(nrow):
    for col in range(ncol):
        pp = (phg[0] + sg * row, phg[1] + sg * col)
        if inside(E, pp):
            prouge.append(pp)
xrouge = [ppp[0] for ppp in prouge]
yrouge = [ppp[1] for ppp in prouge]
matplotlib.pyplot.scatter(xrouge, yrouge, color="g")
matplotlib.pyplot.scatter(x, y, color="r")
data = A, B
with open('coordout.csv', 'a', newline="") as f:
    writer = csv.writer(f)
    writer.writerows(data)
with open("coordout.csv", "a") as f:
    print("X;Y", file=f)
    for xrouge, yrouge in prouge:
        print(f"{xrouge};{yrouge}", file=f)
matplotlib.pyplot.show()