# Python code to convert an image to ASCII image.
import sys, random, argparse
import numpy as np
import math
from PIL import Image, ImageFont, ImageDraw
import gradio as gr

# 70 levels of gray
gscale1 = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
 
# 10 levels of gray
gscale2 = '@%#*+=-:. '
 
def getAverageL(image):
 
    """
    Given PIL Image, return average value of grayscale value
    """
    # get image as numpy array
    im = np.array(image)
    # get shape
    w,h = im.shape
 
    # get average
    return np.average(im.reshape(w*h))
 
def covertImageToAscii(input_img, cols, scale, moreLevels):
    """
    Given Image and dims (rows, cols) returns an m*n list of Images
    """
    # declare globals
    global gscale1, gscale2
 
    # open image and convert to grayscale
    image = Image.fromarray(input_img).convert('L')
 
    # store dimensions
    W, H = image.size[0], image.size[1]
    print("input image dims: %d x %d" % (W, H))
 
    # compute width of tile
    w = W/cols
 
    # compute tile height based on aspect ratio and scale
    h = w/scale
 
    # compute number of rows
    rows = int(H/h)
     
    print("cols: %d, rows: %d" % (cols, rows))
    print("tile dims: %d x %d" % (w, h))
 
    # check if image size is too small
    if cols > W or rows > H:
        print("Image too small for specified cols!")
        exit(0)
 
    # ascii image is a list of character strings
    aimg = []
    # generate list of dimensions
    for j in range(rows):
        y1 = int(j*h)
        y2 = int((j+1)*h)
 
        # correct last tile
        if j == rows-1:
            y2 = H
 
        # append an empty string
        aimg.append("")
 
        for i in range(cols):
 
            # crop image to tile
            x1 = int(i*w)
            x2 = int((i+1)*w)
 
            # correct last tile
            if i == cols-1:
                x2 = W
 
            # crop image to extract tile
            img = image.crop((x1, y1, x2, y2))
 
            # get average luminance
            avg = int(getAverageL(img))
 
            # look up ascii char
            if moreLevels:
                gsval = gscale1[int((avg*69)/255)]
            else:
                gsval = gscale2[int((avg*9)/255)]
 
            # append ascii char to string
            aimg[j] += gsval
     
    # return txt image
    return aimg
 

def sepia(input_img):
    aimg = covertImageToAscii(input_img, 200, 0.43, False)
    blank_image = Image.new(mode="RGB", size=(2000, 2000))
    blank_image.save("blank_image.png")

    my_image = Image.open("blank_image.png")
    image_editable = ImageDraw.Draw(my_image)
    image_editable.text((400,400), "\n".join(aimg), (237, 230, 211))
    return [my_image, "\n".join(aimg)]


iface = gr.Interface(sepia, 
                     gr.inputs.Image(shape=(200, 200)), 
                     ["image", "text"],
                     title = "ASCII Art",
                     description = "Convert an image to ASCII art based on ascii character density. Copy and paste the text to a notepad to see it correctly")

iface.launch()