tidy

BitLit_decoder.py

@@ -1,32 +1,21 @@
-####  RUNNING THE MODEL 
-#Michels-MacBook-Pro:~ ShebMichel$ cd documents/pmlg/wake/decoder
-#Michels-MacBook-Pro:decoder ShebMichel$ python demo.py resources/HiBitLit.pmdl
-import sys, os
+####  RUNNING THE MODEL
+# Michels-MacBook-Pro:~ ShebMichel$ cd documents/pmlg/wake/decoder
+# Michels-MacBook-Pro:decoder ShebMichel$ python demo.py resources/HiBitLit.pmdl
+import os
 import sys
 
 import snowboydecoder
 import signal
-#import BitLit_main              ## MAIN PROGRAM
 
-####
-from gtts import gTTS           ## Packages for Text to voice
-import speech_recognition as sr  ## Packages for voice recognizer
-import BitLit_main
-# 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
 
+import BitLit_main
 
-t0=time.time()   ## Time counter
+t0 = time.time()  ## Time counter
 interrupted = False
 
+
 def signal_handler(signal, frame):
     global interrupted
     interrupted = True
@@ -36,6 +25,7 @@ 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")
@@ -47,14 +37,16 @@ model = sys.argv[1]
 signal.signal(signal.SIGINT, signal_handler)
 
 detector = snowboydecoder.HotwordDetector(model, sensitivity=0.5)
-print('Listening... Press Ctrl+C to exit')
+print("Listening... Press Ctrl+C to exit")
 
 
-detector.start(detected_callback=BitLit_main.generate_poem,
-             interrupt_check=interrupt_callback,
-             sleep_time=0.03)
+detector.start(
+    detected_callback=BitLit_main.generate_poem,
+    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'))
+t1 = time.time()
+total = t1 - t0
+print(("Time spent is about:", np.round(total), "seconds"))