mirror of
https://github.com/wassname/BitLit_test1.git
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76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
'''
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Voice to text to poem to speech
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Credits: Michel, Lauren, Thomas
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'''
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#https://pythonprogramminglanguage.com/text-to-speech/
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## cmd 1:::: sudo pip install gTTS
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## cmd 2:::: sudo pip install pyttsx
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import sys
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from gtts import gTTS ## Packages for Text to voice
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import os
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import speech_recognition as sr ## Packages for voice recognizer
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import tensorflow as tf
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tf.enable_eager_execution()
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from tensorflow.keras.layers import Embedding, GRU, Dense
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import numpy as np
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import re
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from textblob import TextBlob
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import random
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from poem_generator import*
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import time
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##### KNOWN PARAMETERS
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#######################################################
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##sys.path
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##sys.path.append('/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python')
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##sys.path.append('/Users/ShebMichel/Library/Python/2.7/lib/python/site-packages'
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################################################################################
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############ AUDIO CONVERSION TO TEST
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t0=time.time()
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r = sr.Recognizer()
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with sr.Microphone() as source:
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tts = gTTS(text='HELLO! My Name is BIT-LIT. PLEASE SPEAK IN ABOUT 3 SECONDS.', lang='en')
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tts.save("BitLit.mp3")
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os.system("afplay BitLit.mp3")
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# ######
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print("SPEAK NOW-SPEAK NOW-SPEAK NOW:")
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audio = r.listen(source)
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tts = gTTS(text='THANK YOU! GIVE ME A SECOND TO READ OUT YOUR POEM', lang='en')
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tts.save("BitLit.mp3")
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os.system("afplay BitLit.mp3")
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try:
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# for testing purposes, we're just using the default API key
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# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
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# instead of `r.recognize_google(audio)
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AA0=r.recognize_google(audio)
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USER_INPUT=AA0
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print("You said: " + r.recognize_google(audio))
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except sr.UnknownValueError:
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print("Could not understand audio")
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except sr.RequestError as e:
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print("Could not request results; {0}".format(e))
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text_generated=poem(USER_INPUT)
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#### END CODE
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#########################################################
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################# TEXT CONVERSION IN AUDIO
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################# FEED POEM TO TRANSCRIBER
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print('ML POEM is:', text_generated)
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tts = gTTS(text=text_generated, lang='en')
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tts.save("BitLit.mp3")
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os.system("afplay BitLit.mp3")
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#########################################################
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####
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print("BIT-LIT ENDING STATEMENT:")
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tts = gTTS(text='THANK YOU! CHECK ME OUT IN THE NEWS SOON.', lang='en')
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tts.save("BitLit.mp3")
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os.system("afplay BitLit.mp3")
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######
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t1 =time.time()
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total=t1-t0
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print 'Time spent is about:', np.round(total), 'seconds'
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### USING JUPITER
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# import IPython.display as ipd
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# ipd.Audio(filename='path/to/file.mp3')
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#tk.mainloop()
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