# Tk_neural_handwritten.py ZZZ

# Tk_neural_handwritten.py ZZZ

from Tkinter import *
root = Tk()

def paint(event):
    x1, y1 = (event.x - 12), (event.y - 12)
    x2, y2 = (event.x + 12), (event.y + 12)
    canvas.create_oval( x1, y1, x2, y2, fill = "black" )

def determine(): # ZZZ
    canvas.delete('all')

top_frame = Frame(root)
top_frame.pack(side = TOP)
middle_frame_L = Frame(root)
middle_frame_L.pack(side = LEFT)
middle_frame_R = Frame(root)
middle_frame_R.pack(side = LEFT)

page_title = Label(top_frame, text = "MNIST Hand-Written Classification", bg = "#adc9f7", font=("Helvetica", 30))
page_title.pack(side = TOP, fill = X)

instructions = Label(top_frame, text = " Draw the chart below one digit or a single letter. After that, click on 'Preview' for the Neural Network to determine the input. ", font = ("Helvetica", 15))
instructions.pack(side = BOTTOM)

canvas = Canvas(middle_frame_L, width = 200, height = 200, bg = "#8e8e8e")
canvas.pack()

determine_button = Button(middle_frame_L, text = "Determine", command = determine)
determine_button.pack()

canvas.bind("<B1-Motion>", paint)

root.mainloop()