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#!/opt/venvs/mycroft-core/bin/python

from mycroft.messagebus.send import send
send('mycroft.wifi.start')
print("""=====================================================================
Wifi setup has begun.  Use your phone, tablet or laptop to connect to
the network 'MYCROFT' using the password '12345678'.  Once connected
browse to 'https://start.mycroft.ai', then follow the prompts to
complete the setup.
=====================================================================

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import json

from adapt.intent import IntentBuilder
from adapt.engine import IntentDeterminationEngine
from adapt.context import ContextManager

engine = IntentDeterminationEngine()
context_manager = ContextManager()

# define vocabulary

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import pyaudio
pa = pyaudio.PyAudio()

print('\n\n\n==========================================\nFound devices:')
for device_index in range(pa.get_device_count()):
    dev = pa.get_device_info_by_index(device_index)
    if dev['maxInputChannels'] > 0:
        print('{}: Samplerate {} Channels {}'.format(dev['name'],
                                                     dev['defaultSampleRate'],
                                                     dev['maxInputChannels']))

forslund

Set up environment

• Setup 2 GB swap
• Make sure there's room in /tmp ( > 2 GB)

Install python 3.5

To be able to use the prebuild wheel of tensorflow python 3.5 is needed.

Install prerequisites

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class C:
    class_var = None
    def __init__(self):
        if self.class_var is None:
            self.class_var = [1]
            print('Creating new instance')
        else:
            print('Appending to existing')
            self.class_var.append(1)

forslund

#include <stdio.h>
#include <string.h>

void show_icon(const char *code)
{
    static char msgHold[31] = {0};
    char icon[91];

    //Arduinos have a hardcoded limit of 64 bytes for their serial input
    //buffer. To get around this Mycroft sends large messages as two parts.

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import json
from os.path import join
from pathlib import Path
import sys


TEMPLATE = """
  Scenario: {name}
    Given the skill path "{skill_path}"
     When the user says "{utterance}"

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name: mycroft-precise
version: 0.3.1
summary:  Mycroft Precise
description: Mycroft Precise, a wake word spotter.
base: core18
confinement: strict
build-packages: [python3-dev, python3-setuptools, libtool, libffi-dev, libssl-dev, autoconf, build-essential]
parts:
  alsa-mixin:
    after: []

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FROM ubuntu:xenial as builder

# Grab dependencies
RUN apt-get update && apt-get dist-upgrade --yes && apt-get install --yes \
      curl \
      jq \
      squashfs-tools

# Grab the core snap (for backwards compatibility) from the stable channel and
# unpack it in the proper place.

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# General prerequisites:
sudo apt-get install -y debhelper build-essential fakeroot

# Clone package
git clone https://github.com/mycroft-packaging/mycroft-gui-mark-2 -b focal
cd mycroft-gui-mark-2

# Clone source
git clone https://github.com/mycroftai/mycroft-gui-mark-2
cp -r debian mycroft-gui-mark-2