def __init__(self): self.app = gui.QApplication(sys.argv) self.gui = gui.Gui(self) self.translator = translation_watson.Translator() self.gui.initUI() sys.exit(self.app.exec_())
# initialize smtp (email sending) and imap (email recieving) protocols receive = receive.Receive(username, password) send = send.Send(username, password) # send.send_message(username, "sadasd", "asdasdffasasfdsfa") msgs = [] file_name = 'messages.data' # if msg file exists then read from it, else retreive msgs using imap if os.path.exists(file_name): msgs = gui.read_from_file(file_name) else: for label in labels: msgs.append(receive.get_message(category=label)) # print inbox category only # for msg in msgs: # print("To:\t", msg[1]) # print("Date:\t", msg[2]) # print("Subject:\t", msg[4]) # print("Content:\n", msg[5]) # print("_"*40) # load gui app = gui.QApplication(gui.sys.argv) ex = gui.App(mails_lst=msgs, my_mail=username, send=send, receive=receive, labels=labels) gui.sys.exit(app.exec_())
# exec(open("gui.py").read(), globals()) import sys from foldercount import numfile import gui exec(open('gatherimages.py').read()) train_q = gui.QApplication([]) train_app = gui.App('train') # Continue training while there are images left in /images while numfile('./training_data/like') + numfile( './training_data/dislike') < numfile('./images/'): train_app.photoChange('./images/') train_q.quit() predict_q = gui.QApplication([]) predict_app = gui.App('predict') # sys.argv = ['gui.py','train'] # exec(open('gui.py').read()) # sys.argv = ['gui.py','predict'] # exec(open('gui.py').read())
def main(): app = gui.QApplication(sys.argv) window = gui.MainWindow() window.show() app.exec_()