def audio_msg(update, context):
print("Hey, please wait I am transcripting your audio!")
audio_file = context.bot.getFile(update.message.voice.file_id)
audio_file.download('voice.ogg')
transcription = audio_processor()
print("calling translator with " + transcription)
context.bot.send_message(chat_id=update.effective_chat.id,
text="You just said " + transcription +
" in the voice note!")
tranlate_text = translatorFn(transcription, bot_cmd_list[-1])
context.bot.send_message(chat_id=update.effective_chat.id,
text="Translated Text: " + tranlate_text)
textToSpeech(tranlate_text)
def __init__(self):
self._speech = googleSpeech()
self._turing = turing123()
self._text2Speech = textToSpeech()
thread = threading.Thread(target=self.run, args=())
thread.daemon = True # Daemonize thread
thread.start() # Start the execution
def googleSpeechToTextWithWatsonSpeechToTest():
r = sr.Recognizer()
with sr.WavFile(
"test.wav") as source: # use "test.wav" as the audio source
r.energy_threshold = 4000
audio = r.record(source) # extract audio data from the file
try:
sentence = r.recognize_google(audio)
print("You said " +
sentence) # recognize speech using Google Speech Recognition
dataInt.gatherData()
bestAnswer = dataInt.returnBestAnswer(sentence)
print(bestAnswer)
textToSpeech.textToSpeech(bestAnswer)
except IndexError: # the API key didn't work
print("No internet connection")
except KeyError: # the API key didn't work
print("Invalid API key or quota maxed out")
except LookupError: # speech is unintelligible
print("Could not understand audio")
def __init__(self):
"""
Initialization of the kernel.
Returns:
None
"""
# load default config
self.loadConfig('defaultConfig.yml')
# init wrappers
self.attwordListener = attwordListener.attwordListener(self.attwordConfig)
self.speechToText = speechToText.speechToText(self.speechToTextConfig)
self.queryProcessor = queryProcessor.queryProcessor(self.queryProcessorConfig)
self.textToSpeech = textToSpeech.textToSpeech(self.textToSpeechConfig)
def __init__(self):
"""
Initialization of the kernel.
Returns:
None
"""
# load default config
self.loadConfig('defaultConfig.yml')
# init wrappers
self.attwordListener = attwordListener.attwordListener(self.attwordConfig, 'attention word module')
self.speechToText = speechToText.speechToText(self.speechToTextConfig, 'speech-to-text module')
self.getIntent = getIntent.getIntent(self.getIntentConfig, 'get intent module')
self.queryProcessor = queryProcessor.queryProcessor(self.queryProcessorConfig, 'query processing module')
self.textToSpeech = textToSpeech.textToSpeech(self.textToSpeechConfig, 'text-to-speech module')
def find_def(self, text, lemma, pos):
# get the definition and synonyms of the word
if not lemma:
definition = DefinitionService.findDef(text, pos)
synonyms = DefinitionService.findSyn(text, pos)
else:
definition = DefinitionService.findDef(lemma, pos)
synonyms = DefinitionService.findSyn(lemma, pos)
# get the encoded audio information
sound = textToSpeech.textToSpeech(text)
return {
'text': text,
'definition': definition,
'synonyms': synonyms,
'sound': sound
}
titles[0].firstChild.nodeValue + ".mp3")
#os.path.join(SITE_ROOT, "static", "options.json")
pod_dict = {}
pod_dict['count'] = count
stitle = titles[0].firstChild.nodeValue.encode(
'ascii', 'ignore').decode('unicode_escape')
#pod_dict['podcasts'] = [{'title': podcastName, 'file-name': titles[0].firstChild.nodeValue + ".mp3"}]
pod_dict['podcasts'] = [{
'title': podcastName,
'file-name': stitle + ".mp3"
}]
count += 1
result.append(pod_dict)
geturl(mp3list[0], saveLoc)
with open(static_folderpath + '/options.json', 'w') as outfile:
json.dump(result, outfile, indent=4, sort_keys=True)
trim()
if __name__ == '__main__':
try:
main()
textToSpeech.textToSpeech()
except KeyboardInterrupt:
print('\n')
sys.exit(0)
# 判斷是否需要開始治療
def isNeedToStart(threat, now, offset):
if threat['halfDay'] == now['halfDay']:
# offset分鐘前就預先開始啟動
if int(threat['hour']) * 60 + int(threat['min']) < int(
now['hour']) * 60 + int(now['min']) - offset:
return True
else:
return False
else:
return False
googleSpeech = googleSpeech()
turing = turing123()
speechConverter = textToSpeech()
motor, ldr = initRaspberry()
connection = initDB()
score = getLatestScore(connection)
threatTimeStruct = countTreatTime(score)
turingThread = threading.Thread(target=turing.result, args=())
turingThread.daemon = True # Daemonize thread
turingThread.start() # Start the execution
# 判斷是否完成判斷光度
isFinish = False
# 判斷是否準備好接受治療
isReady = False
threatTimeStruct['hour'] = str(2)
# import des librairies
from traduction import traduction
from textToSpeech import textToSpeech
from speechToText import speechToText
print("Bonjour Bienvenu dans ATA, Assistant de Traduction Automatique")
print("Veillez prononcez la phrase à traduire en eng ")
texte = speechToText()
<<<<<<< HEAD
texte = traduction(texte)
textToSpeech(texte)
=======
print("J'ai entendu : " + texte)
texte, langue = traduction(texte)
textToSpeech(texte, langue)
>>>>>>> 2d2bd022454c6b8cc5d6924eaf5ce12d92917f35
print("J'ai fini !")