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@ -19,11 +19,11 @@ of the skills/integrations supported by the product, regardless of whichever ans
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that phrase. And, most of all, my goal was to have all the business logic of the actions to run on my own device(s), not
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that phrase. And, most of all, my goal was to have all the business logic of the actions to run on my own device(s), not
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on someone else’s cloud. I feel like by now that goal has been mostly accomplished (assistant technology with 100%
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on someone else’s cloud. I feel like by now that goal has been mostly accomplished (assistant technology with 100%
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flexibility when it comes to phrase patterns and custom actions), and today I’d like to show you how to set up your own
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flexibility when it comes to phrase patterns and custom actions), and today I’d like to show you how to set up your own
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Google Assistant on steroids as well with a Raspberry Pi, microphone and platypush. I’ll also show how to run your
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Google Assistant on steroids as well with a Raspberry Pi, microphone and Platypush. I’ll also show how to run your
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custom hotword detection models through the [Snowboy](https://snowboy.kitt.ai/) integration, for those who wish greater flexibility when it comes to
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custom hotword detection models through the [Snowboy](https://snowboy.kitt.ai/) integration, for those who wish greater flexibility when it comes to
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how to summon your digital butler besides the boring “Ok Google” formula, or those who aren’t that happy with the idea
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how to summon your digital butler besides the boring “Ok Google” formula, or those who aren’t that happy with the idea
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of having Google to constantly listen to everything that is said in the room. For those who are unfamiliar with
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of having Google to constantly listen to everything that is said in the room. For those who are unfamiliar with
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platypush, I suggest
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Platypush, I suggest
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reading [my previous article](https://blog.platypush.tech/article/Ultimate-self-hosted-automation-with-Platypush) on
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reading [my previous article](https://blog.platypush.tech/article/Ultimate-self-hosted-automation-with-Platypush) on
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what it is, what it can do, why I built it and how to get started with it.
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what it is, what it can do, why I built it and how to get started with it.
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@ -65,3 +65,235 @@ I eventually decided to develop the integration with the Google Assistant and ig
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- There are [few Python examples for the Alexa SDK](https://developer.amazon.com/en-US/alexa/alexa-skills-kit/alexa-skill-python-tutorial#sample-python-projects),
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- There are [few Python examples for the Alexa SDK](https://developer.amazon.com/en-US/alexa/alexa-skills-kit/alexa-skill-python-tutorial#sample-python-projects),
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but they focus on how to develop a skill. I’m not interested in building a skill that runs on Amazon’s servers — I’m
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but they focus on how to develop a skill. I’m not interested in building a skill that runs on Amazon’s servers — I’m
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interested in detecting hotwords and raw speech on any device, and the SDK should let me do whatever I want with that.
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interested in detecting hotwords and raw speech on any device, and the SDK should let me do whatever I want with that.
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I eventually opted for
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the [Google Assistant library](https://developers.google.com/assistant/sdk/guides/library/python/), but that
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has [recently been deprecated with short notice](https://github.com/googlesamples/assistant-sdk-python/issues/356), and
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there’s an ongoing discussion of which will be the future alternatives. However, the voice integration with Platypush
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still works, and whichever new SDK/API Google will release in the near future I’ll make sure that it’ll still be
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supported. The two options currently provided are:
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- If you’re running Platypush on an x86/x86_64 machine or on a Raspberry Pi earlier than the model 4 (except for the
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Raspberry Pi Zero, since it’s based on ARM6 and the Assistant library wasn’t compiled it for it), you can still use
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the assistant library — even though it’s not guaranteed to work against future builds of the libc, given the
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deprecated status of the library.
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- Otherwise, you can use the Snowboy integration for hotword detection together with Platypush’ s wrapper around the
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Google push-to-talk sample for conversation support.
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In this article we’ll see how to get started with both the configurations.
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## Installation and configuration
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First things first: in order to get your assistant working you’ll need:
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- An x86/x86_64/ARM device/OS compatible with Platypush and either the Google Assistant library or Snowboy (tested on
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most of the Raspberry Pi models, Banana Pis and Odroid, and on ASUS Tinkerboard).
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- A microphone. Literally any Linux-compatible microphone would work.
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I’ll also assume that you have already installed Platypush on your device — the instructions are provided on
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the [Github page](https://git.platypush.tech/platypush/platypush), on
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the [wiki](https://git.platypush.tech/platypush/platypush/-/wikis/home#installation) and in
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my [previous article](https://blog.platypush.tech/article/Ultimate-self-hosted-automation-with-Platypush).
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Follow these steps to get the assistant running:
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- Install the required dependencies:
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```shell
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# To run the Google Assistant hotword service + speech detection
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# (it won't work on RaspberryPi Zero and arm6 architecture)
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[sudo] pip install 'platypush[google-assistant-legacy]'
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# To run the just the Google Assistant speech detection and use
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# Snowboy for hotword detection
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[sudo] pip install 'platypush[google-assistant]'
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```
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- Follow [these steps](https://developers.google.com/assistant/sdk/guides/service/python/embed/config-dev-project-and-account)
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to create and configure a new project in the Google Console and download the required credentials
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files.
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- Generate your user’s credentials file for the assistant to connect it to your account:
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```shell
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export CREDENTIALS_FILE=~/.config/google-oauthlib-tool/credentials.json
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google-oauthlib-tool --scope https://www.googleapis.com/auth/assistant-sdk-prototype \
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--scope https://www.googleapis.com/auth/gcm \
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--save --headless --client-secrets $CREDENTIALS_FILE
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```
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- Open the prompted URL in your browser, log in with your Google account if needed and then enter the prompted
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authorization code in the terminal.
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The above steps are common both for the Assistant library and the Snowboy+push-to-talk configurations. Let’s now tackle
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how to get things working with the Assistant library, provided that it still works on your device.
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### Google Assistant library
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- Enable the Google Assistant backend (to listen to the hotword) and plugin (to programmatically start/stop
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conversations in your custom actions) in your Platypush configuration file (by default
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`~/.config/platypush/config.yaml`):
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```yaml
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backend.assistant.google:
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enabled: True
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assistant.google:
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enabled: True
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```
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- Refer to the official documentation to check the additional initialization parameters and actions provided by the
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[assistant backend](https://platypush.readthedocs.io/en/latest/platypush/backend/assistant.google.html) and
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[plugin](https://platypush.readthedocs.io/en/latest/platypush/plugins/assistant.google.html).
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- Restart Platypush and keep an eye on the output to check that everything is alright. Oh, and also double check that
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your microphone is not muted.
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- Just say “OK Google” or “Hey Google”. The basic assistant should work out of the box.
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### Snowboy + Google Assistant library
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Follow the steps in the next section if the Assistant library doesn’t work on your device (in most of the cases you’ll
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see a segmentation fault if you try to import it caused by a mismatching libc version), or if you want more options when
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it comes to supported hotwords, and/or you don’t like the idea of having Google to constantly listen all of your
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conversation to detect when you say the hotword.
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```shell
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# Install the Snowboy dependencies
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[sudo] pip install 'platypush[hotword]'
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```
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- Go to the [Snowboy home page](https://snowboy.kitt.ai/), register/login and then select the hotword model(s) you like.
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You’ll notice that before downloading a model you’ll be asked to provide three voice sample of yours saying the
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hotword — a good idea to keep voice models free while getting everyone to improve them.
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- Configure the Snowboy backend and the Google push-to-talk plugin in your Platypush configuration. Example:
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```yaml
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backend.assistant.snowboy:
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audio_gain: 1.0
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models:
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computer:
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voice_model_file: ~/path/models/computer.umdl
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assistant_plugin: assistant.google.pushtotalk
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assistant_language: it-IT
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detect_sound: ~/path/sounds/sound1.wav
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sensitivity: 0.45
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ok_google:
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voice_model_file: ~/path/models/OK Google.pmdl
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assistant_plugin: assistant.google.pushtotalk
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assistant_language: en-US
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detect_sound: ~/path/sounds/sound2.wav
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sensitivity: 0.42
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assistant.google.pushtotalk:
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language: en-US
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```
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A few words about the configuration tweaks:
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- Tweak `audio_gain` to adjust the gain of your microphone (1.0 for a 100% gain).
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- `model` will contain a key-value list of the voice models that you want to use.
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- For each model you’ll have to specify its `voice_model_file` (downloaded from the Snowboy website), which
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`assistant_plugin` will be used (`assistant.google.pushtotalk` in this case), the assistant_language code, i.e. the
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selected language for the assistant conversation when that hotword is detected (default: `en-US`), an optional
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detect_sound, a WAV file that will be played when a conversation starts, and the sensitivity of that model, between 0
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and 1 — with 0 meaning no sensitivity and 1 very high sensitivity (tweak it to your own needs, but be aware that a
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value higher than 0.5 might trigger more false positives).
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- The `assistant.google.pushtotalk` plugin configuration only requires the default assistant language to be used.
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Refer to the official documentation for extra initialization parameters and methods provided by the
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[Snowboy backend](https://platypush.readthedocs.io/en/latest/platypush/backend/assistant.snowboy.html) and the
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[push-to-talk plugin](https://platypush.readthedocs.io/en/latest/platypush/plugins/assistant.google.pushtotalk.html).
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Restart Platypush and check the logs for any errors, then say your hotword. If everything went well, an assistant
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conversation will be started when the hotword is detected.
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## Create custom events on speech detected
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So now that you’ve got the basic features of the assistant up and running, it’s time to customize the configuration and
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leverage the versatility of Platypush to get your assistant to run whatever you like through when you say whichever
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phrase you like. You can create event hooks for any of the events triggered by the assistant — among those,
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`SpeechRecognizedEvent`, `ConversationStartEvent`, `HotwordDetectedEvent`, `TimerEndEvent` etc., and those hooks can run
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anything that has a Platypush plugin. Let’s see an example to turn on your Philips Hue lights when you say “turn on the
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lights”:
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```yaml
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event.hook.AssistantTurnLightsOn:
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if:
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type: platypush.message.event.assistant.SpeechRecognizedEvent
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phrase: "turn on (the)? lights?"
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then:
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- action: light.hue.on
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```
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You’ll also notice that the answer of the assistant is suppressed if the detected phrase matches an existing rule, but
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if you still want the assistant to speak a custom phrase you can use the `tts` or `tts.google plugins`:
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```yaml
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event.hook.AssistantTurnOnLightsAnimation:
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if:
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type: platypush.message.event.assistant.SpeechRecognizedEvent
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phrase: "turn on (the)? animation"
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then:
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- action: light.hue.animate
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args:
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animation: color_transition
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transition_seconds: 0.25
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- action: tts.say
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args:
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text: Enjoy the light show
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```
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You can also programmatically start a conversation without using the hotword to trigger the assistant. For example, this
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is a rule that triggers the assistant whenever you press a Flic button:
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```yaml
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event.hook.FlicButtonStartConversation:
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if:
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type: platypush.message.event.button.flic.FlicButtonEvent
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btn_addr: 00:11:22:33:44:55
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sequence:
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- ShortPressEvent
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then:
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- action: assistant.google.start_conversation
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# or:
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# - action: assistant.google.pushtotalk.start_conversation
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```
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Additional win: if you have configured the HTTP backend and you have access to the web panel or the dashboard then
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you’ll notice that the status of the conversation will also appear on the web page as a modal dialog, where you’ll see
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when a hotword has been detected, the recognized speech and the transcript of the assistant response.
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That’s all you need to know to customize your assistant — now you can for instance write rules that would blink your
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lights when an assistant timer ends, or programmatically play your favourite playlist on mpd/mopidy when you say a
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particular phrase, or handle a home made multi-room music setup with Snapcast+platypush through voice commands. As long
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as there’s a platypush plugin to do what you want to do, you can do it already.
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## Live demo
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A [TL;DR video](https://photos.app.goo.gl/mCscTDFcB4SzazeK7) with a practical example:
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In this video:
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- Using Google Assistant basic features ("how's the weather?") with the "OK Google" hotword (in English)
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- Triggering a conversation in Italian when I say the "computer" hotword instead
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- Support for custom responses through the Text-to-Speech plugin
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- Control the music through custom hooks that leverage mopidy as a backend (and synchronize music with devices in other rooms through the Snapcast plugin)
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- Trigger a conversation without hotword - in this case I defined a hook that starts a conversation when something approaches a distance sensor on my Raspberry
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- Take pictures from a camera on another Raspberry and preview them on the screen through platypush' camera plugins, and send them to mobile devices through the Pushbullet or AutoRemote plugins
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- All the conversations and responses are visually shown on the platypush web dashboard
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