WatsonGUI.py

from tkinter import *
from watson_developer_cloud import VisualRecognitionV3
import json
import os

#invoking tkinkter as root
root = Tk()

#Setting up input, has to be up here since it is invoked below
Label(root, text="Enter File Name With Extension").pack()
user_data = Entry(root)
user_data.pack()


class App:

    def __init__(self, master):

        frame = Frame(master)
        frame.pack()

        #Buttons in the program
        self.CNN_run = Button(frame, text="Start", command=self.filescan)
        self.CNN_run.pack(side=LEFT)

        self.read_outfile = Button(frame, text="Read the Output", command=self.read_out)
        self.read_outfile.pack(side=RIGHT)

    #Defining the functions called in the buttons
    def print_input(self):
        print('./'+user_data.get())

    def filescan(self):
        visrec = VisualRecognitionV3(
            '2018-03-19',
            url='https://gateway.watsonplatform.net/visual-recognition/api',
            iam_api_key='ysQKtXudc8Otf9UuAyZx9DAcOa0zHLNq-AQ9i2U5z6_k')

        #Calling to IBM Watson's Image Recognition system
        with open('./' + user_data.get(), 'rb') as images_file:
            classes = visrec.classify(
                images_file,
                thereshold='0.6',
                classifier_ids='DefaultCustomModel_1853365427')

            #Printing the json file out to a text document
            outfile = open("jsondump.txt", "w")
            outfile.write(json.dumps(classes, indent=2))
            outfile.close()
            print(json.dumps(classes, indent=2))

    def read_out(self):
        os.system('open -a TextEdit jsondump.txt')

#Title and boilerplate for the program
app = App(root)
root.title("CNN Image Search - Alpha Version")
root.geometry("500x200")
root.mainloop()