def who_are_you():
messages = [
'I am Darong, your lovely personal assistant.',
'Darong, dint I tell you before?',
'You ask that so many times! I am Darong.'
]
tts(random.choice(messages))
def how_am_i():
replies = [
'You are goddamn handsome!', 'My knees go weak when I see you',
'You look like the kindest person that I have met',
'How come you have such a stupid question'
]
tts(random.choice(replies))
def tell_joke():
jokes = [
'What happens to a frogs car when it breaks down? It gets toad away.',
'Why was six scared of seven? because seven ate nine.',
'No, I aways forget the punch line.'
]
tts(random.choice(jokes))
def show_all_notes():
conn = sqlite3.connect('memory.db')
tts('Your notes are as follows: ')
cursor = conn.execute("SELECT notes FROM notes")
# the first "note" is one column of the database
for row in cursor:
print(row[0])
tts(row[0])
conn.close()
def note_something(speech_text):
conn = sqlite3.connect('memory.db')
words_of_message = speech_text.split()
words_of_message.remove('note')
cleaned_message = ' '.join(words_of_message)
conn.execute("INSERT INTO notes (notes, notes_date) VALUES (?, ?)", \
(cleaned_message, datetime.strftime(datetime.now(), '%d-%m-%Y')))
conn.commit()
conn.close()
tts('Your note has been saved')
def driver(self):
tts("Hi. I'm Scarlett. How can I help you today?")
recognized_audio = self.listen_audio()
if "scarlett" or "Scarlett" in recognized_audio:
tts("Yes {}, how can I help you?".format(name))
recognized_audio = self.listen_audio()
return recognized_audio
def main():
if os.path.isfile('profile.json'):
profile = open('profile.json')
profile_data = json.load(profile)
profile.close()
else:
profile_populator()
main()
tts('Welcome ' + profile_data['name'] +
', systems are now ready to run. How can I help you?')
stt(profile_data)
def connect_to_proxy(proxy_username, proxy_password):
tts("Connecting to proxy server.")
browser = webdriver.Firefox()
browser.get('http://10.1.1.9:8090/httpclient.html')
id_number = browser.find_element_by_name('username')
password = browser.find_element_by_name('password')
id_number.send_keys(proxy_username)
password.send_keys(proxy_password)
browser.find_element_by_name('btnSubmit').click()
def main():
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)
try:
speech_text = r.recognize_google(audio).lower().replace("'", "")
print("Melissa thinks you said '" + speech_text + "'")
except sr.UnknownValueError:
print("Melissa could not understand audio")
except sr.RequestError as e:
print("Could not request results from Google Speech Recognition service; {0}".format(e))
tts(speech_text)
def passiveListen():
THRESHOLD_MULTIPLIER = 1.8
RATE = 16000
CHUNK = 1024
THRESHOLD_TIME = 1
LISTEN_TIME = 300
stream = _audio.open(format=pyaudio.paInt16,
channels=1,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
frames = []
lastN = [i for i in range(30)]
for i in range(0, RATE / CHUNK * THRESHOLD_TIME):
data = stream.read(CHUNK)
frames.append(data)
lastN.pop(0)
lastN.append(getScore(data))
average = sum(lastN) / len(lastN)
THRESHOLD = average * THRESHOLD_MULTIPLIER
frames = []
didDetect = False
for i in range(0, RATE / CHUNK * LISTEN_TIME):
data = stream.read(CHUNK)
frames.append(data)
score = getScore(data)
if score > THRESHOLD:
didDetect = True
stream.stop_stream()
stream.close()
time.sleep(1)
tts('Yes?')
main()
if not didDetect:
print "No disturbance detected"
stream.stop_stream()
stream.close()
def passiveListen():
THRESHOLD_MULTIPLIER = 1.8
RATE = 16000
CHUNK = 1024
THRESHOLD_TIME = 1
LISTEN_TIME = 300
stream = _audio.open(format=pyaudio.paInt16,
channels=1,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
frames = []
lastN = [i for i in range(30)]
for i in range(0, RATE / CHUNK * THRESHOLD_TIME):
data = stream.read(CHUNK)
frames.append(data)
lastN.pop(0)
lastN.append(getScore(data))
average = sum(lastN) / len(lastN)
THRESHOLD = average * THRESHOLD_MULTIPLIER
frames = []
didDetect = False
for i in range(0, RATE / CHUNK * LISTEN_TIME):
data = stream.read(CHUNK)
frames.append(data)
score = getScore(data)
if score > THRESHOLD:
didDetect = True
stream.stop_stream()
stream.close()
time.sleep(1)
tts('Yes?')
main()
if not didDetect:
print "No disturbance detected"
stream.stop_stream()
stream.close()
def main():
# GET INPUT
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)
# PRODUCE OUTPUT
try:
speech_text = r.recognize_google(audio).lower().replace("'", "")
tts('You said, ' + speech_text)
except sr.UnknownValueError:
print('Audio not understood')
except sr.RequestError as e:
print('Could not request results from GSR service; {0}'.format(e))
def stt():
tts("Hi! I'm Scarlett. How can I help you today?")
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
recognized_speech = r.recognize_google(audio)
# tts(recognized_speech)
return recognized_speech
except sr.UnknownValueError:
print("Couldn't recognize audio")
except sr.RequestError as e:
print(
"Couldn't request results from Google speech service : {}".format(
e))
def main():
#obtain audio from the microphone
r = sr.Recognizer()
with sr.Microphone() as source:
print("Say something!")
audio = r.listen(source)
#recognize speech using WIT.AI
WIT_AI_KEY = "YVRDNX5MC5L6DJRZYU44MOIUWS56JDRW"
#WIT_AI_KEY = "3HJYXBPG6BZ3KFZG3KQHIOGAYD5OLWXK"
try:
speech_text = r.recognize_wit(audio, key=WIT_AI_KEY)
print("Jarvis thinks you said '" + speech_text + "'")
except sr.UnknownValueError:
print("Jarvis could not understand audio")
except sr.RequestError as e:
print("Could not request results from Wit.ai service; {0}".format(e))
tts(speech_text)
def define_subject(speech_text):
words_of_message = speech_text.split()
words_of_message.remove('define')
cleaned_message = ''.join(words_of_message)
try:
wiki_data = wikipedia.summary(cleaned_message, sentences=5)
regEx = re.compile(r'([^\(]*)\([^\)]*\) *(.*)')
m = regEx.match(wiki_data)
while m:
wiki_data = m.group(1) + m.group(2)
m = regEx.match(wiki_data)
wiki_data = wiki_data.replace("'", "")
tts(wiki_data)
print(wiki_data)
except wikipedia.exceptions.DisambiguationError as e:
tts('Can you please be more specific? You may choose something' +
'from the following.')
print("Can you please be more specific? You may choose something" +
"from the following; {0}".format(e))
def main():
profile = open('profile.yaml')
profile_data = yaml.safe_load(profile)
profile.close()
r = sr.Recognizer()
tts('Welcome ' + profile_data['name'] + ', systems are now ready to run. How can I help you?')
if profile_data['stt'] == 'google':
while True:
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source)
print("Say something!")
audio = r.listen(source)
try:
speech_text = r.recognize_google(audio).lower().replace("'", "")
print("Melissa thinks you said '" + speech_text + "'")
except sr.UnknownValueError:
print("Melissa could not understand audio")
except sr.RequestError as e:
print("Could not request results from Google Speech Recognition service; {0}".format(e))
else:
brain(profile_data, speech_text)
elif profile_data['stt'] == 'sphinx':
def sphinx_stt():
modeldir = profile_data['pocketsphinx']['modeldir']
hmm = profile_data['pocketsphinx']['hmm']
lm = profile_data['pocketsphinx']['lm']
dic = profile_data['pocketsphinx']['dic']
config = Decoder.default_config()
config.set_string('-hmm', os.path.join(modeldir, hmm))
config.set_string('-lm', os.path.join(modeldir, lm))
config.set_string('-dict', os.path.join(modeldir, dic))
config.set_string('-logfn', '/dev/null')
decoder = Decoder(config)
stream = open('recording.wav', 'rb')
in_speech_bf = False
decoder.start_utt()
while True:
buf = stream.read(1024)
if buf:
decoder.process_raw(buf, False, False)
if decoder.get_in_speech() != in_speech_bf:
in_speech_bf = decoder.get_in_speech()
if not in_speech_bf:
decoder.end_utt()
speech_text = decoder.hyp().hypstr
print speech_text
decoder.start_utt()
else:
break
decoder.end_utt()
return speech_text.lower().replace("'", "")
while True:
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source)
print("Say something!")
audio = r.listen(source)
with open("recording.wav", "wb") as f:
f.write(audio.get_wav_data())
brain(profile_data, sphinx_stt())
import speech_recognition as sr
from GreyMatter.SenseCells.tts import tts
from brain import brain
profile = open("profile.yaml.default")
profile_data = yaml.safe_load(profile)
profile.close()
#Variables
name = profile_data['name']
city_name = profile_data['city_name']
city_code = profile_data['city_code']
tts('Welcome ' + name + ', systems are ready to run')
def main():
r = sr.Recognizer()
with sr.Microphone(1) as source:
print('Speak')
audio = r.listen(source)
try:
speech_text = r.recognize_google(audio).lower().replace("'", "")
print("Vicky thinks you said '" + speech_text + "'")
except sr.UnknownValueError:
print("Vicky could not understand you")
except sr.RequestError as e:
print("Could not request results from Speech recognition service; {0}".
format(e))
def how_are_you():
messages = ["I am dying inside. Thanks for asking.", "I am okay as long as I serve you.", "I'm fine, thank you."]
tts(random.choice(messages))
def who_am_i(name):
tts("You are " + name + ", my brilliant creator. I worship you.")
def open_firefox():
tts("Openning Firefox")
webdriver.Firefox()
elif speech_check(["how", "i", "look"]):
general_conversation.how_am_i()
elif speech_check(["what", "time", "now"]):
time_teller.what_is_time()
else:
general_conversation.undefined()
profile = open('profile.yaml')
profile_data = yaml.safe_load(profile)
profile.close()
name = profile_data['name']
city_name = profile_data['city_name']
tts("Welcome " + name + ". The system is ready to serve you")
def main():
r = sr.Recognizer()
with sr.Microphone() as source:
print("How can I help you?")
audio = r.listen(source)
try:
speech_text = r.recognize_google(audio).lower().replace("'", "")
print("Scarlett thinks you said,' " + speech_text + " '")
brain(speech_text)
except sr.UnknownValueError:
print("Scarlett could not understand audio !!")
profile_data = yaml.safe_load(profile)
profile.close()
# Functioning Variables
name = profile_data['name']
music_path = profile_data['music_path']
city_name = profile_data['city_name']
city_code = profile_data['city_code']
proxy_username = profile_data['proxy_username']
proxy_password = profile_data['proxy_password']
access_token = profile_data['twitter']['access_token']
access_token_secret = profile_data['twitter']['access_token_secret']
consumer_key = profile_data['twitter']['consumer_key']
consumer_secret = profile_data['twitter']['consumer_secret']
tts('Welcome ' + name + ', systems are now ready to run. How can I help you?')
# Thanks to Jasper for passive code snippet.
_audio = pyaudio.PyAudio()
def getScore(data):
rms = audioop.rms(data, 2)
score = rms / 3
return score
def fetchThreshold():
THRESHOLD_MULTIPLIER = 1.8
RATE = 16000
CHUNK = 1024
THRESHOLD_TIME = 1
render = web.template.render('templates/')
urls = (
'/',
'index',
)
profile = open('profile.yaml')
profile_data = yaml.safe_load(profile)
profile.close()
# Functioning Variables
name = profile_data['name']
tts('Welcome ' + name + ', systems are now ready to run. How can I help you?')
class index:
def GET(self):
return render.index()
def POST(self):
x = web.input(myfile={})
filedir = os.getcwd(
) + '/uploads' # change this to the directory you want to store the file in.
if 'myfile' in x: # to check if the file-object is created
filepath = x.myfile.filename.replace(
'\\',
'/') # replaces the windows-style slashes with linux ones.
filename = filepath.split(
def undefine():
tts('I do not know what that means!')
def undefined():
tts("I dont know what that means!")
def how_are_you():
tts('I am fine, thank you.')
def where_born():
tts('I was created by a magician name Frank, in China')
def go_to_sleep():
tts("Goodbye! Have a great day!")
quit()
def mirror():
import json
API_key = "o.0uXY4V8zygueZLziiZcaXA18ldTldaSl"
url = "https://api.pushbullet.com/v2/pushes?limit=1"
headers = {'Access-Token': API_key}
# pb = Pushbullet(API_key)
ws = websocket.create_connection(
"wss://stream.pushbullet.com/websocket/{}".format(API_key))
while True:
result = ws.recv()
# print(result)
# print(type(result))
# result = ast.literal_eval(result)
result = json.loads(result)
# print(result)
pprint(result)
print(type(result))
if result["type"] == "tickle":
r = requests.get(url, headers=headers)
re = r.json()
pprint(re)
push = re['pushes']
text = push[0]['body']
name = push[0]['sender_name']
tts("You have a new notification from {}. {} sent {}".format(
name, name, text))
elif result['type'] == 'push' and result['push'][
'type'] != 'dismissal':
push = result['push']
application = push['application_name']
text = push['body']
sender = push['title']
# Clear title
no_msg = 0
name = ''
for i in range(len(sender)):
if sender[i] == '(' or sender[i] == ':':
if sender[i] == ':':
no_msg = 1
break
else:
i += 1
try:
no_msg = eval(sender[i:i + 1])
except:
no_msg = eval(sender[i])
break
else:
name += sender[i]
if no_msg == 0:
no_msg = 1
print(name, no_msg, text, application)
if 'call' in sender:
# Incoming call handling
by = push['body']
msg = "You have an {} by {}".format(sender, by)
else:
# Incoming message handling. Tested for the following apps:
# Whatsapp
# Messenger
msg = "You have {} new notification from {} by {}. {}".format(
no_msg, application, name, text)
print(msg)
tts(msg)
pass
def who_are_you():
messages = ["I am Melissa, your slave for eternity.", "Melissa, did I not I tell you before?", "You imbecile. I am Melissa."]
tts(random.choice(messages))
def __speak_(self, msg):
tts(msg)
pass
def what_is_time():
tts("The time is " + datetime.strftime(datetime.now(), '%H:%M:%S'))
def who_am_i(name):
tts('You are ' + name + ', a brilliant persion. I love you!')
# Functioning Variables
name = profile_data["name"]
music_path = profile_data["music_path"]
images_path = profile_data["images_path"]
city_name = profile_data["city_name"]
city_code = profile_data["city_code"]
proxy_username = profile_data["proxy_username"]
proxy_password = profile_data["proxy_password"]
access_token = profile_data["twitter"]["access_token"]
access_token_secret = profile_data["twitter"]["access_token_secret"]
consumer_key = profile_data["twitter"]["consumer_key"]
consumer_secret = profile_data["twitter"]["consumer_secret"]
client_id = profile_data["imgur"]["client_id"]
client_secret = profile_data["imgur"]["client_secret"]
tts("Welcome " + name + ", systems are now ready to run. How can I help you?")
# Thanks to Jasper for passive code snippet.
_audio = pyaudio.PyAudio()
def getScore(data):
rms = audioop.rms(data, 2)
score = rms / 3
return score
def fetchThreshold():
THRESHOLD_MULTIPLIER = 1.8
RATE = 16000
