def speak():
alfred = AlfredSpeech()
data = request.get_json()
message = data["message"]
if message == "alfred":
greeting = SpeechHelpers()
alfred.respond(greeting.determine_greeting(datetime.datetime.now()) + ", sir")
else:
alfred.respond("I am Alfred.")
return jsonify(data)
__author__ = 'matt.livingston'
from speech.alfred_speech import AlfredSpeech
from utils.language import Core
from weather_services import weather
import nltk
from nltk import load_parser
print('Initializing Speech Engine')
alfred = AlfredSpeech()
language_processor = Core()
print('Loading Grammar Models')
weather_grammar = nltk.data.load('file:/config/simple_weather.cfg')
#text = "What is the weather?"
#d = language_processor.get_pos(text)
#cp = load_parser('/config/weather.fcfg')
# query = 'What cities are in China'
# trees = list(cp.parse(query.split()))
#for t in trees:
# print(t)
#text = "What is the weather"
#text = "What is the current temp"
#text = "What is the current temperature"
#text = "What is tomorrow's forecast"
#text = "What will the weather be like tomorrow"
#tagged_text = language_processor.get_pos(text)
