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Python Client for Alexa Voice Service (AVS)

Project description

Alexa Voice Service Client

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Python Client for Alexa Voice Service (AVS)


Installation

pip install alexa_client

or if you want to run the demos:

pip install alexa_client[demo]

Usage

File audio

from alexa_client import AlexaClient

client = AlexaClient(
    client_id='my-client-id',
    secret='my-secret',
    refresh_token='my-refresh-token',
)
client.connect()  # authenticate and other handshaking steps
with open('./tests/resources/alexa_what_time_is_it.wav', 'rb') as f:
    for i, directive in enumerate(client.send_audio_file(f)):
        if directive.name in ['Speak', 'Play']:
            with open(f'./output_{i}.mp3', 'wb') as f:
                f.write(directive.audio_attachment)

Now listen to output_0.wav and Alexa should tell you the time.

Microphone audio

import io

from alexa_client import AlexaClient
import pyaudio


def callback(in_data, frame_count, time_info, status):
    buffer.write(in_data)
    return (in_data, pyaudio.paContinue)

p = pyaudio.PyAudio()
stream = p.open(
    format=pyaudio.paInt16,
    channels=1,
    rate=16000,
    input=True,
    stream_callback=callback,
)

client = AlexaClient(
    client_id='my-client-id',
    secret='my-secret',
    refresh_token='my-refresh-token',
)

buffer = io.BytesIO()
try:
    stream.start_stream()
    print('listening. Press CTRL + C to exit.')
    client.connect()
    for i, directive in enumerate(client.send_audio_file(buffer)):
        if directive.name in ['Speak', 'Play']:
            with open(f'./output_{i}.mp3', 'wb') as f:
                f.write(directive.audio_attachment)
finally:
    stream.stop_stream()
    stream.close()
    p.terminate()

Multi-step requests

An Alexa command may relate to a previous command e.g,

[you] "Alexa, play twenty questions" [Alexa] "Is it a animal, mineral, or vegetable?" [you] "Mineral" [Alexa] "Is it valuable" [you] "No" [Alexa] "is it..."

This can be achieved by passing the same dialog request ID to multiple send_audio_file calls:

from alexa_client.alexa_client import helpers

dialog_request_id = helpers.generate_unique_id()
directives_one = client.send_audio_file(audio_one, dialog_request_id=dialog_request_id)
directives_two = client.send_audio_file(audio_two, dialog_request_id=dialog_request_id)
directives_three = client.send_audio_file(audio_three, dialog_request_id=dialog_request_id)

Run the streaming microphone audio demo to use this feature:

pip install alexa_client[demo]
python -m alexa_client.demo.streaming_microphone \
    --client-id="{enter-client-id-here}" \
    --client-secret="{enter-client-secret-here"} \
    --refresh-token="{enter-refresh-token-here}"

ASR Profiles

Automatic Speech Recognition (ASR) profiles optimized for user speech from varying distances. By default CLOSE_TALK is used but this can be specified:

from alexa_client import constants

client.send_audio_file(
    audio_file=audio_file,
    distance_profile=constants.NEAR_FIELD,  # or constants.FAR_FIELD
)

Audio format

By default PCM audio format is assumed, but OPUS can be specified:

from alexa_client import constants

client.send_audio_file(
    audio_file=audio_file,
    audio_format=constants.OPUS,
)

When PCM format is specified the audio should be 16bit Linear PCM (LPCM16), 16kHz sample rate, single-channel, and little endian.

When OPUS forat is specified the audio should be 16bit Opus, 16kHz sample rate, 32k bit rate, and little endian.

Authentication

To use AVS you must first have a developer account. Then register your product here. Choose "Application" under "Is your product an app or a device"?

The client requires your client_id, secret and refresh_token:

client kwarg Notes
client_id Retrieve by clicking on the your product listed here
secret Retrieve by clicking on the your product listed here
refresh_token You must generate this. See below

Refresh token

You will need to login to Amazon via a web browser to get your refresh token.

To enable this first go here and click on your product to set some security settings under Security Profile:

setting value
Allowed Origins http://localhost:9000
Allowed Return URLs http://localhost:9000/callback/

Note what you entered for Product ID under Product Information, as this will be used as the device-type-id (case sensitive!)

Then run:

python -m alexa_client.refreshtoken.serve \
    --device-type-id="{enter-device-type-id-here}" \
    --client-id="{enter-client-id-here}" \
    --client-secret="{enter-client-secret-here}"

Follow the on-screen instructions shown at http://localhost:9000 in your web browser. On completion Amazon will return your refresh_token - which you will require to send audio or recorded voice.

Steaming audio to AVS

AlexaClient.send_audio_file streaming uploads a file-like object to AVS for great latency. The file-like object can be an actual file on your filesystem, an in-memory BytesIo buffer containing audio from your microphone, or even audio streaming from your browser over a websocket in real-time.

Persistent AVS connection

Calling AlexaClient.connect creates a persistent connection to AVS. A thread runs that pings AVS after 4 minutes of no request being made to AVS. This prevents the connection getting forcefully closed due to inactivity.

Unit test

To run the unit tests, call the following commands:

git clone git@github.com:richtier/alexa-voice-service-client.git
make test_requirements
pytest

Other projects

This library is used by alexa-browser-client, which allows you to talk to Alexa from your browser.

Project details


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