Use Gooey to add GUI

stitchify.py

+# coding: utf-8
 """ Converts pixel-art images into cross-stitch patterns.
 
 	This tool assumes that 1px = 1 stitch.
 		* Add grid lines and edge labels to image. (DONE)
 		* Add legend to image, based on the `symbols` dictionary. (DONE)
 		* Correspond hex colors to floss colors, where possible.
-		* (Maybe) add stitch count for each color. (DONE)
-		* (Maybe) add GUI.
+		* (Maybe) add stitch count for each color. (DONE)	
+		* (Maybe) add GUI. (DONE)
+		* Make sure legend width doesn't exceed image width.
 """
 
 __author__ = "Noëlle Anthony"
-__version__ = "0.3.2"
+__version__ = "0.4.0"
 
 import sys
 from PIL import Image, ImageDraw
 from collections import defaultdict
+from gooey import Gooey, GooeyParser
 
-def main(img_name):
+def create_stitch(img_name, img_out, display):
 	img = Image.open(img_name)
-	oimg_name_bits = img_name.split(".")
-	oimg_name = "".join(oimg_name_bits[:-1]) + "_pattern." + oimg_name_bits[-1]
+	#oimg_name_bits = img_name.split(".")
+	#oimg_name = "".join(oimg_name_bits[:-1]) + "_pattern." + oimg_name_bits[-1]
+	oimg_name = img_out
 
 	w,h = img.size
 
 	draw.text((20, (h*10)+20), legend_out, fill=0)
 	oimg.save(oimg_name)
 	print("Saved {}".format(oimg_name))
+	if display: 
+		oimg.show()
 
+@Gooey
+def main():
+	parser = GooeyParser()
+	parser.add_argument("img_name", help="The image file you want to convert", widget="FileChooser")
+	parser.add_argument("img_out", help="The name of the output pattern", widget="FileSaver")
+	parser.add_argument("--display", help="Display the image after creation", action="store_true")
+	args = parser.parse_args()
+	create_stitch(args.img_name, args.img_out, args.display)
 
 if __name__ == "__main__":
-	#print(len(sys.argv))
-	#print(sys.argv[1])
-	if len(sys.argv) >= 2:
-		img_name = sys.argv[1]
-	else:
-		img_name = "test.png"
-	main(img_name)
+	main()