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BitLit_decoder1.py

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+####  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'