BitLit_decoder1.py

####  RUNNING THE MODEL 
#Michels-MacBook-Pro:~ ShebMichel$ cd documents/pmlg/wake/decoder
#Michels-MacBook-Pro:decoder ShebMichel$ python demo.py resources/HiBitLit.pmdl
import snowboydecoder
import sys
import signal
import sys, os
#import BitLit_main              ## MAIN PROGRAM

####
from gtts import gTTS           ## Packages for Text to voice
import speech_recognition as sr ## Packages for voice recognizer
import tensorflow as tf
tf.enable_eager_execution()
from tensorflow.keras.layers import Embedding, GRU, Dense
import numpy as np
import re
from textblob import TextBlob
import random
import poem_generator           ## POEM GENERATOR IMPORT
from poem_generator import*
import time
####
t0=time.time()   ## Time counter
interrupted = False


def signal_handler(signal, frame):
    global interrupted
    interrupted = True


def interrupt_callback():
    global interrupted
    return interrupted

if len(sys.argv) == 1:
    print("Error: need to specify model name")
    print("Usage: python demo.py your.model")
    sys.exit(-1)

model = sys.argv[1]

# capture SIGINT signal, e.g., Ctrl+C
signal.signal(signal.SIGINT, signal_handler)

detector = snowboydecoder.HotwordDetector(model, sensitivity=0.5)
print('Listening... Press Ctrl+C to exit')

# main loop
detector.start(detected_callback=snowboydecoder.run,
              interrupt_check=interrupt_callback, 
               sleep_time=0.01)
##detector.start(detected_callback=snowboydecoder.play_audio_file,
##              interrupt_check=interrupt_callback, 
##               sleep_time=0.00)
##detector.start(detected_callback= os.system('python BitLit_main.py'),
##              interrupt_check=interrupt_callback, 
##               sleep_time=0.00) ##0.03
#import BitLit_main
##detector.start(detected_callback=BitLit_main,
##              interrupt_check=interrupt_callback,
##              sleep_time=0.03)

detector.terminate()
t1   =time.time()
total=t1-t0
print 'Time spent is about:', np.round(total), 'seconds'