def create(module=None):
module = module or "amazon"
config = get_neon_lang_config()
module = module or config.get("translation_module", "google")
# TODO: Check file locations DM
if module == "amazon" \
and get_neon_tts_config()["amazon"].get("aws_access_key_id", "") == "":
from neon_utils.authentication_utils import find_neon_aws_keys, populate_amazon_keys_config
try:
config_keys = find_neon_aws_keys()
populate_amazon_keys_config(config_keys)
except FileNotFoundError:
LOG.debug("Amazon credentials not available")
module = "google"
except Exception as e:
LOG.error(e)
module = "google"
try:
clazz = TranslatorFactory.CLASSES.get(module)
return clazz()
except Exception as e:
# The translate backend failed to start. Report it and fall back to
# default.
LOG.exception(
'The selected translator backend could not be loaded, '
'falling back to default...')
LOG.error(e)
if module != 'google':
return GoogleTranslator()
else:
raise
def transcribe(self, audio, lang):
def send_unknown_intent():
""" Send message that nothing was transcribed. """
self.loop.emit('recognizer_loop:speech.recognition.unknown')
try:
# Invoke the STT engine on the audio clip
try:
transcriptions = self.loop.stt.execute(audio, language=lang)
except Exception as e:
if self.loop.fallback_stt:
LOG.warning(f"Using fallback STT, main plugin failed: {e}")
transcriptions = self.loop.fallback_stt.execute(
audio, language=lang)
else:
raise e
if isinstance(transcriptions, str):
LOG.info("Casting str transcriptions to list")
transcriptions = [transcriptions]
if transcriptions is not None:
transcriptions = [t.lower().strip() for t in transcriptions]
LOG.debug(f"STT: {transcriptions}")
else:
send_unknown_intent()
LOG.info('no words were transcribed')
return transcriptions
except Exception as e:
send_unknown_intent()
LOG.error(e)
LOG.exception("Speech Recognition could not understand audio")
return None
def create(module=None):
module = module or "fastlang"
config = get_neon_lang_config()
module = module or config.get("detection_module", "fastlang")
try:
clazz = DetectorFactory.CLASSES.get(module)
return clazz()
except Exception as e:
# The translate backend failed to start. Report it and fall back to
# default.
LOG.exception(
'The selected language detector backend could not be loaded, '
'falling back to default...')
LOG.error(e)
if module != 'fastlang':
return FastLangDetector()
else:
raise
