Building an AI-based image-classifier application
#!/home/username/gui_env/bin/python
from tkinter import filedialog
from tkinter import *
def clicked_5():
btn_2.destroy()
lbl_2.destroy()
exec(open("Classify.py").read())
print('Classification finished')
window.destroy()
def clicked_4():
btn_1.destroy()
lbl_1.destroy()
global n_digits
n_digits = str(txt_1.get())
txt_1.destroy()
global lbl_2
lbl_2 = Label(window, text = 'Start classification. Application will close \n automatically once all images are classified.')
lbl_2.grid(column = 0, row = 0)
global btn_2
btn_2 = Button(window, text = 'Confirm', bg = 'green', command = clicked_5)
btn_2.grid(column=1, row=2)
def clicked_3():
btn_0.destroy()
lbl_0.destroy()
global weights_name
weights_name = str(txt_0.get())
txt_0.destroy()
global lbl_1
lbl_1 = Label(window, text = 'State number of classes')
lbl_1.grid(column = 0, row = 0)
global txt_1
txt_1 = Entry(window, width = 40, bg = 'orange', textvariable = StringVar())
txt_1.grid(column = 1, row = 1)
global btn_1
btn_1 = Button(window, text = 'Set', bg = 'green', command = clicked_4)
btn_1.grid(column=1, row=2)
def clicked_2():
global lbl_0
lbl_0 = Label(window, text = 'Enter model weights file name')
lbl_0.grid(column = 0, row = 0)
global txt_0
txt_0 = Entry(window, width = 40, bg = 'orange', textvariable = StringVar())
txt_0.grid(column = 1, row = 1)
global btn_0
btn_0 = Button(window, text = 'Confirm', bg = 'green', command = clicked_3)
btn_0.grid(column=1, row=2)
def clicked_1():
global weights_dir
weights_dir = str(filedialog.askdirectory(title='Select model-weights directory', parent = window))+'/'
clicked_2()
def clicked_0():
if 'window' not in globals():
global window
window = Tk()
window.geometry('700x200')
window.title = 'Classification_GUI'
global sample_dir
sample_dir = str(filedialog.askdirectory(title='Select folder of images to be classified', parent = window))+'/'
clicked_1()
window.mainloop()
clicked_0()