import time
from sinchsms import SinchSMS
number = '7557462911'
message = "hi"
client = SinchSMS("b2557e0e-1512-4953-a99b-c543d96f9a94",
"RnEHiZmMBEOmIrdvrbx2mg==")
print("sending '%s' to %s " (message, number))
response = client.send_message(number, message)
import time
from time import sleep
from sinchsms import SinchSMS
number = '918826022510'
app_key = 'e31dabc6-aa8d-46bb-aab8-bfb91b58d13c'
app_secret = 'J7js1xm+m0665hYgrzW6+w=='
# enter the message to be sent
message = 'Alert Triggered'
client = SinchSMS(app_key, app_secret)
print("Sending '%s' to %s" % (message, number))
response = client.send_message(number, message)
message_id = response['messageId']
response = client.check_status(message_id)
# keep trying unless the status retured is Successful
while response['status'] != 'Successful':
print(response['status'])
time.sleep(1)
response = client.check_status(message_id)
print(response['status'])
import time
from sinchsms import SinchSMS
number = '+917001354181'
message = 'I love SMS!'
client = SinchSMS('7d4d335a8f924bb3903427b74355a0a1',
'f5cce5c3f91e4feba2df74a31ffb4bd3')
print("Sending '%s' to %s" % (message, number))
response = client.send_message(number, message)
message_id = response['messageId']
response = client.check_status(message_id)
while response['status'] != 'Successful':
print(response['status'])
time.sleep(1)
response = client.check_status(message_id)
print(response['status'])
get_updates = json.loads(requests.get(url + 'getUpdates').content)
for update in get_updates['result']:
if last_update < update['update_id']:
last_update = update['update_id']
file = open('last_update_sms.txt', 'w')
pickle.dump(last_update, file)
file.close()
print(update['message']['text'])
try:
if u'/start' in update['message']['text']:
help_bot = u'Olá\nPara enviar um SMS digite /enviarSMS 11999999999 Olá Tudo Bem?'
requests.get(url + 'sendMessage',
params=dict(
chat_id=update['message']['chat']['id'],
text=help_bot))
if u'/enviarSMS' in update['message']['text']:
keyword = update['message']['text'].split(' ', 2)
number = '+' + keyword[1]
message = keyword[2]
client = SinchSMS(tokens.key_sinch, tokens.secret_sinch)
client.send_message(number, message)
requests.get(
url + 'sendMessage',
params=dict(chat_id=update['message']['chat']['id'],
text="Enviando '%s' para %s" %
(message, number)))
except KeyError as e:
print(e)
continue
sleep(3)
from keras import backend as K
import tensorflow as tf
number = '+919717181471'
#model._make_predict_function()
que = collections.deque()
global model
model= load_model('voice_classification_model5000v3.h5')
global graph
graph = tf.get_default_graph()
# ring buffer will keep the last 2 seconds worth of audio
#ringBuffer = RingBuffer(2 * 22050)'
client = SinchSMS('d896f903-2332-4e10-87ae-3c2c187df453','YRrFNl6eqkaAKN+QCZBinQ==')
counter = defaultdict()
classes = ["saw", "vehicle", "noise"]
p = pyaudio.PyAudio()
def callback(in_data, frame_count, time_info, flag):
audio_data = np.fromstring(in_data, dtype=np.float32)
# we trained on audio with a sample rate of 22050 so we need to convert it
audio_data = librosa.resample(audio_data, 44100, 22050)
mfccs = np.mean(librosa.feature.mfcc(y=audio_data, sr=22050, n_mfcc=40).T,axis=0)
mfccs = np.array(mfccs)
mfccs = mfccs.reshape((1, 40))
time.sleep(1)
with graph.as_default():
index = np.argmax(model.predict(mfccs))
#print(classes[index])
#!/usr/bin/python
import time
from sinchsms import SinchSMS
import RPi.GPIO as GPIO # import RPi.GPIO module
from time import sleep
import time
number = 'my number'
message = 'You\'ve got mail!'
got_event = 0
expired = time.time()
client = SinchSMS(your_app_key, your_app_secret)
GPIO.setmode(GPIO.BCM) # choose BCM or BOARD
GPIO.setup(23, GPIO.IN, pull_up_down=GPIO.PUD_UP) # set a port/pin as an input
def send_sms():
print("Sending '%s' to %s" % (message, number))
response = client.send_message(number, message)
message_id = response['messageId']
response = client.check_status(message_id)
while response['status'] != 'Successful':
print(response['status'])
time.sleep(1)
response = client.check_status(message_id)
