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_()