o dZh@sddlmZddlmZmZddlmZddlmZddl m Z m Z er4ddl m Z mZmZddlmZGdd d ed d ZGd d d ed d ZdddZ ddddZdS)) annotations) TYPE_CHECKING TypedDict)URLError) AudioData) RequestErrorUnknownValueError)RecognitionConfigRecognizeResponse SpeechContext)Requiredc@s:eZdZUdZded<ded<ded<ded<ded <d S) GoogleCloudRecognizerParametersaCOptional parameters. The recognition language is determined by ``language_code``, which is a BCP-47 language tag like ``"en-US"`` (US English). Default: ``"en-US"``. A list of supported language tags can be found in the `Speech-to-Text supported languages `__. If ``preferred_phrases`` is an iterable of phrase strings, those given phrases will be more likely to be recognized over similar-sounding alternatives. This is useful for things like keyword/command recognition or adding new phrases that aren't in Google's vocabulary. Note that the API imposes certain `restrictions on the list of phrase strings `__. ``show_all``: See :py:func:`recognize`. ``model``: You can select the model to get best results. (See `RecognitionConfig's documentation `__ for detail) ``use_enhanced``: Set to true to use an enhanced model for speech recognition. z list[str]preferred_phrasesboolshow_allstr language_codemodel use_enhancedN__name__ __module__ __qualname____doc____annotations__rrZ/var/www/auris/lib/python3.10/site-packages/speech_recognition/recognizers/google_cloud.pyr s  r F)totalc@sJeZdZUdZded<ded<ded<ded <d ed <d ed <d ed<dS)GoogleCloudSpeechV1ParameterszSpeech-to-Text V1 API's parameters. https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v1.types.RecognitionConfig z)Required[RecognitionConfig.AudioEncoding]encodingz Required[int]sample_rate_hertzz Required[str]rzlist[SpeechContext]speech_contextsrenable_word_time_offsetsrrrNrrrrrr.s  r audio_datarrecognizer_paramsreturnr cCsrddlm}|jjj|j|ddd}|dd}r%|j|dg|d<|d d r/d |d <|jd i||BS)Nrspeechrzen-US)rr rr)Zphrasesr!rFTr"r) google.cloudr'r Z AudioEncodingZFLAC sample_ratepopr )r#r$r' parametersrrrr _build_config=s    r,Ncredentials_json_path str | Nonekwargsstr | RecognizeResponsec Ks6zddlm}ddlm}Wn tytdw|r"|j|n|}|jd|j kr3dkr7nndnt dt |j ddd }|j |d }t ||} z |j| |d } Wn#|yi} zt| d} ~ wty|} ztd | jd} ~ ww|d r| St| jdkrtddd| jD} | S)a Performs speech recognition on ``audio_data`` (an ``AudioData`` instance), using the Google Cloud Speech-to-Text V1 API. This function requires a Google Cloud Platform account; see the `Set up Speech-to-Text `__ for details and instructions. Basically, create a project, enable billing for the project, enable the Google Cloud Speech API for the project. And create local authentication credentials for your user account. The result is a JSON file containing the API credentials. You can specify the JSON file by ``credentials_json_path``. If not specified, the library will try to automatically `find the default API credentials JSON file `__. Returns the most likely transcription if ``show_all`` is False (the default). Otherwise, returns the raw API response as a JSON dictionary. For other parameters, see :py:class:`GoogleCloudRecognizerParameters`. Raises a ``speech_recognition.UnknownValueError`` exception if the speech is unintelligible. Raises a ``speech_recognition.RequestError`` exception if the speech recognition operation failed, if the credentials aren't valid, or if there is no Internet connection. r)GoogleAPICallErrorr&zXmissing google-cloud-speech module: ensure that google-cloud-speech is set up correctly.i@iN)Z convert_rateZ convert_width)content)configaudioz"recognition connection failed: {0}r css |] }|jdjVqdS)rN)Z alternatives transcriptstrip).0resultrrr s  zrecognize..)Zgoogle.api_core.exceptionsr1r(r' ImportErrorrZ SpeechClientZfrom_service_account_jsonZ get_flac_datar)maxminZRecognitionAudior,copy recognizerformatreasongetlenresultsrjoin) Z recognizerr#r-r/r1r'clientZ flac_datar5r4responseer7rrrr@QsN      r@)r#rr$r r%r )N)r#rr-r.r/r r%r0) __future__rtypingrr urllib.errorrZspeech_recognition.audiorZspeech_recognition.exceptionsrrZgoogle.cloud.speechr r r Ztyping_extensionsr r rr,r@rrrrs