class Assistant(object):
def __init__(self, use_speech):
self.tts = TTS()
self.use_speech = use_speech
if self.use_speech:
self.stt = STT()
self.chatbot = ChatBot(
'JARVIS',
storage_adapter='chatterbot.storage.JsonFileStorageAdapter',
filters=['chatterbot.filters.RepetitiveResponseFilter'],
logic_adapters=[{
'import_path': 'chatterbot.logic.BestMatch'
}])
self.chatbot.set_trainer(ChatterBotCorpusTrainer)
self.chatbot.train("chatterbot.corpus.english.greetings")
def search_wolfram(self, input):
try:
search_result = wolfram_client.query(input)
self.say(next(search_result.results).text)
return True
except:
return False
def say(self, message):
self.tts.say(message)
def respond(self, message):
self.say(self.chatbot.get_response(message))
def get_input(self):
if (self.use_speech):
input = self.stt.listen()
print 'User: {}'.format(input)
else:
input = raw_input('User: ')
return input
class Text(object):
def __init__(self):
self.stt_engine = STT()
self.tts_engine = TTS()
self.mic = Mic(self.tts_engine, self.stt_engine, self.stt_engine)
self.selection = Selection(self.tts_engine)
def handle(self):
while True:
threshold, translate = self.mic.passiveListen("JARVIS")
if not translate or not threshold:
continue
input = self.mic.activeListen(threshold)
print input
if input:
string = self.selection.select(input)
else:
self.tts_engine.say("Pardon?")
from tts import TTS
from recipe_parser import RecipeParser
if __name__ == '__main__':
tts = TTS()
rp = RecipeParser('icecreamcone.json')
text = raw_input('Say:')
while text:
if text == 'ingredients':
ingredients = rp.get_ingredients()
for ingredient in ingredients:
tts.say(ingredient)
elif text == 'instructions':
instructions = rp.get_instruction()
for instruction in instructions:
tts.say(instruction[0:100])
elif rp.find_ingredient(text):
ingredient = rp.find_ingredient(text)[0]
tts.say(ingredient['amount'] + ' ' + ingredient['ingredient'])
text = raw_input('Say:')
from tts import TTS
from recipe_parser import RecipeParser
if __name__ == '__main__':
tts = TTS()
rp = RecipeParser('icecreamcone.json')
text = raw_input('Say:')
while text:
if text == 'ingredients':
ingredients = rp.get_ingredients()
for ingredient in ingredients:
tts.say(ingredient)
elif text == 'instructions':
instructions = rp.get_instruction()
for instruction in instructions:
tts.say(instruction[0:100])
elif rp.find_ingredient(text):
ingredient = rp.find_ingredient(text)[0]
tts.say(ingredient['amount'] + ' ' + ingredient['ingredient'])
text = raw_input('Say:')
