forked from platypush/platypush
[assistant.picovoice] Various improvements.
- Added `intent_model_path` parameter. - Always apply `expanduser` to configuration paths. - Better logic to infer the fallback model path. - The Picovoice Leonardo object should always be removed after `assistant.picovoice.transcribe` is called.
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1 changed files with 82 additions and 15 deletions
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@ -59,6 +59,7 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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keyword_paths: Optional[Sequence[str]] = None,
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keyword_model_path: Optional[str] = None,
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speech_model_path: Optional[str] = None,
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intent_model_path: Optional[str] = None,
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endpoint_duration: Optional[float] = 0.5,
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enable_automatic_punctuation: bool = False,
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start_conversation_on_hotword: bool = True,
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@ -106,6 +107,54 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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to train your custom models. You can use a base model and fine-tune
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it by boosting the detection of your own words and phrases and edit
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the phonetic representation of the words you want to detect.
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:param intent_model_path: Path to the Rhino context model. This is
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required if you want to use the intent recognition engine through
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Rhino. The context model is a file that contains a list of intents
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that can be recognized by the engine. An intent is an action or a
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class of actions that the assistant can recognize, and it can
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contain an optional number of slots to model context variables -
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e.g. temperature, lights group, location, device state etc.
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You can create your own context model using the `Rhino console
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<https://console.picovoice.ai/rhn>`_. For example, you can define a
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context file to control smart home devices by defining the
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following slots:
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- ``device_type``: The device to control (e.g. lights, music)
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- ``device_state``: The target state of the device (e.g. on,
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off)
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- ``location``: The location of the device (e.g. living
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room, kitchen, bedroom)
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- ``media_type``: The type of media to play (e.g. music, video)
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- ``media_state``: The state of the media (e.g. play, pause,
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stop)
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You can then define the following intents:
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- ``device_ctrl``: Control a device state. Supported phrases:
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- "turn ``$device_state:state`` the ``$location:location``
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``$device_type:device``"
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- "turn ``$device_state:state`` the ``$device_type:device``"
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- ``media_ctrl``: Control media state. Supported phrases:
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- "``$media_state:state`` the ``$media_type:media``"
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- "``$media_state:state`` the ``$media_type:media`` in the
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``$location:location``"
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Then a phrase like "turn on the lights in the living room" would
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trigger a
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:class:`platypush.message.event.assistant.IntentMatchedEvent` with:
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.. code-block:: json
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{
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"intent": "device_ctrl",
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"slots": {
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"type": "lights",
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"state": "on",
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"location": "living room"
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}
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}
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:param endpoint_duration: If set, the assistant will stop listening when
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no speech is detected for the specified duration (in seconds) after
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the end of an utterance.
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@ -144,9 +193,19 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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'stt_enabled': stt_enabled,
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'intent_enabled': intent_enabled,
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'keywords': keywords,
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'keyword_paths': keyword_paths,
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'keyword_model_path': keyword_model_path,
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'speech_model_path': speech_model_path,
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'keyword_paths': (
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os.path.expanduser(keyword_path)
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for keyword_path in (keyword_paths or [])
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),
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'keyword_model_path': (
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os.path.expanduser(keyword_model_path) if keyword_model_path else None
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),
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'speech_model_path': (
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os.path.expanduser(speech_model_path) if speech_model_path else None
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),
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'intent_model_path': (
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os.path.expanduser(intent_model_path) if intent_model_path else None
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),
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'endpoint_duration': endpoint_duration,
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'enable_automatic_punctuation': enable_automatic_punctuation,
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'start_conversation_on_hotword': start_conversation_on_hotword,
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@ -193,6 +252,8 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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self.logger.warning('Assistant not initialized')
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return
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if not model_file:
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model_file = self._assistant_args['speech_model_path']
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if model_file:
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model_file = os.path.expanduser(model_file)
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@ -278,6 +339,8 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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import pvleopard
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audio_file = os.path.expanduser(audio_file)
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if not model_file:
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model_file = self._assistant_args['speech_model_path']
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if model_file:
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model_file = os.path.expanduser(model_file)
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@ -286,6 +349,8 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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)
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transcript, words = leopard.process_file(audio_file)
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try:
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return {
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'transcription': transcript,
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'words': [
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@ -298,6 +363,8 @@ class AssistantPicovoicePlugin(AssistantPlugin, RunnablePlugin):
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for word in words
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],
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}
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finally:
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leopard.delete()
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@action
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def mute(self, *_, **__):
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