Full Code of nerdaxic/glados-voice-assistant for AI

Repository: nerdaxic/glados-voice-assistant
Branch: main
Commit: 7a68e7ee6534
Files: 35
Total size: 525.9 KB

Directory structure:
gitextract_2hf0m2md/

├── .gitignore
├── .gitmodules
├── LICENSE.md
├── README.md
├── glados.py
├── gladosHA.py
├── gladosNotifyAPI.py
├── gladosSerial.py
├── gladosServo.py
├── gladosTTS.py
├── gladosTime.py
├── glados_functions.py
├── glados_respeaker.py
├── hardware/
│   ├── pololu_maestro_6/
│   │   └── maestro_settings.txt
│   ├── respeaker/
│   │   ├── 50-respeaker.rules
│   │   ├── README.md
│   │   ├── ReSpeaker_Startup_Config.sh
│   │   └── ReSpeaker_Turn_off_Pixelring.py
│   └── teensy_4_glados_eye/
│       ├── Aperture.h
│       └── Teensy_4_GLaDOS_Eye.ino
├── maestro.py
├── models/
│   └── openWakeWord/
│       ├── README.md
│       └── glados.tflite
├── requirements.txt
├── settings/
│   └── home_assistant_settings.yaml.sample
├── settings.env.sample
├── skills/
│   ├── glados_greetings.json
│   ├── glados_home_assistant.py
│   ├── glados_jokes.json
│   ├── glados_jokes.py
│   ├── glados_magic_8_ball.json
│   └── glados_magic_8_ball.py
└── wakeword/
    ├── README.md
    ├── hey_glados_model.net
    └── hey_glados_model.net.params

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
# Ignore the collected TTS samples
*.wav

# Ignore locally collected data
collectedSpeech/**
collectedWakeWords/**
cancelledActivations.txt
failed_commands.txt

# Local enviroment file
settings.env
home_assistant_settings.yaml

test.py
*.test.py


# Gitignore template from https://github.com/github/gitignore/blob/main/Python.gitignore

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
#   For a library or package, you might want to ignore these files since the code is
#   intended to run in multiple environments; otherwise, check them in:
.python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# poetry
#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
#   This is especially recommended for binary packages to ensure reproducibility, and is more
#   commonly ignored for libraries.
#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
#  and can be added to the global gitignore or merged into this file.  For a more nuclear
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

================================================
FILE: .gitmodules
================================================
[submodule "glados_tts"]
	path = glados_tts
	url = https://github.com/nerdaxic/glados-tts.git


================================================
FILE: LICENSE.md
================================================
CC BY-NC-SA 4.0
# GLaDOS Voice Assistant licence
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Please see: 
https://creativecommons.org/licenses/by-nc-sa/4.0/

## You are free to:
**Share** — copy and redistribute the material in any medium or format

**Adapt** — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms

## Under the following terms:
**Attribution** — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

**NonCommercial** — You may not use the material for commercial purposes.

**ShareAlike** — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

**No additional restrictions** — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

## Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

Note that Valve owns the copyright to GLaDOS character and can not be licenced out by the developers.

This is a private, non-commercial hobby project.

## For commercial use
Contact main developer [nerdaxic](https://github.com/nerdaxic).



================================================
FILE: README.md
================================================
# GLaDOS Voice Assistant
<table>
<tr>
  <td width="33%"><img src="https://www.henrirantanen.fi/wp-content/uploads/2022/01/HER_0941-728.jpg" width="100%"></td>
    <td>
      <strong>DIY Voice Assistant based on the GLaDOS character from Portal video game series.</strong>

## Featured on:
      
🛠 [Hackday](https://hackaday.com/2021/09/13/glados-voice-assistant-passive-aggressively-automates-home/) - Tech blog

🛠 [Tom's Hardware](https://www.tomshardware.com/news/raspberry-pi-glados-voice-assistant-head) - Technology news

🎮 [PCGamer](https://www.pcgamer.com/this-guy-decided-to-mock-our-future-ai-overlords-with-a-glados-smart-assistant/) - Online magazine

🇫🇮 [Ilta-Sanomat](https://www.is.fi/digitoday/art-2000008642371.html) - The second largest newspaper in Finland

🇫🇮 [Muropaketti](https://muropaketti.com/tietotekniikka/tietotekniikkauutiset/onpas-hieno-suomalainen-youtube-kayttaja-teki-portal-pelin-glados-tekoalyrobotista-huiman-hienon-aaniavustajan/) - Finnish computing website
      
📺 [YouTube](https://www.youtube.com/playlist?list=PLs-qfwv3feinbxvTzFtmrHJrGSMrR09-t) - GLaDOS Voice Assistant playlist
      
  </td>
  </tr>
  </table>

## Read project article first!
📄 [GLaDOS Voice Assistant](https://www.henrirantanen.fi/2022/02/10/glados-voice-assistant-with-custom-text-to-speech/?utm_source=github.com&utm_medium=social&utm_campaign=post&utm_content=DIY+GLaDOS+Voice+Assistant+with+Python+and+Raspberry+Pi) - henrirantanen.fi

## Description
* Written mostly in Python
* Work in progress

❗ New versions of the voice assistant will not work on Raspberry Pi due to missing CPU instruction sets needed by some AI scripts. If you are looking to play along with the old version on your Raspberry Pi, check the [raspberry branch](https://github.com/nerdaxic/glados-voice-assistant/tree/raspberry).

* YouTube 📺 [GLaDOS Voice Assistant | Introduction](https://www.youtube.com/embed/Y3h5tKWqf-w)
* YouTube 📺 [GLaDOS Voice Assistant | Software - Python tutorial](https://youtu.be/70_imR6cBGc)
* Twitter 🛠 [GLaDOS Voice Assistant project build](https://twitter.com/search?q=(%23glados)%20(from%3Anerdaxic)&src=typed_query)

## Main features
1. Local Trigger word detection using PocketSphinx
2. Local GLaDOS Text-to-Speech engine using [glados-tts model by R2D2FISH](https://github.com/nerdaxic/glados-tts)
3. Speech-to-text processing using Google's API (for now)
4. Local TTS cache of generated common audio samples locally for instant answers in the future
5. Animatronic eye control using servos
6. Round LCD for an eye to display display textures

Tight integration with Home Assistant's local API:
* Send commands to Home Assistant
* Read and speak sensor data
* Notification API, so Home Assistant can speak out notifications through GLaDOS

## What it can do:
* Clock
* Control lights and devices
* Weather and forecast
* Add things to shopping list
* Read sensor information
* Random magic 8-ball answers
* Tell jokes
* Judge you and be mean
* Advanced fat-shaming
* Log stuff and gather training data locally


> Note: The code is provided as reference only.
## Voice Assistant pipeline overview
![General AI Voice Assistant Pipeline](https://www.henrirantanen.fi/wp-content/uploads/2022/02/ai-voice-assistant-pipeline.jpg)


## Requirements for Ubuntu
### Install tools
```console
sudo apt-get update
sudo apt-get upgrade
sudo apt install python3-pip
```
### Install PyAudio
PyAudio is needed to play audio files.
```console 
sudo apt-get install portaudio19-dev 
``` 

### Install PocketSphinx
Used for trigger word detection for now.
```console 
sudo apt-get install -y build-essential swig libpulse-dev libasound2-dev
``` 

### Install SpeechRecognition 
Used to turn audio into text for now.
```console 
sudo apt-get install flac
``` 

### Install other libraries
Install python modules from requirements.txt file
```console 
cd ~/glados-voice-assistant
sudo pip3 install -r requirements.txt
``` 

### Install pytorch
See here: https://pytorch.org/get-started/locally/#start-locally

## Install GLaDOS Voice Assistant

#### 1. Go to home folder
```console 
cd ~
``` 
#### 2. Download the source from GitHub
This will download GLaDOS Voice Assistant and the TTS submodule.
```console 
git clone --recurse-submodules https://github.com/nerdaxic/glados-voice-assistant/
``` 

After this you can play around with the TTS, this works as stand-alone.
```console
cd ~/glados-voice-assistant/glados_tts/
python3 glados.py
```

#### 3. Edit the settings file

Find the sound card ID:
```console
python3 -m sounddevice
```
Generate and edit the settings.env file:
```console 
cp ~/glados-voice-assistant/settings.env.sample ~/glados-voice-assistant/settings.env && nano ~/glados-voice-assistant/settings.env
``` 
#### 4. To run:
Launch the voice assistant:
```console
python3 ~/glados-voice-assistant/glados.py
```

You can add glados.py to your crontab file or run it manually.
```console
crontab -e
@reboot python3 /home/username/glados-voice-assistant/glados.py
```

## Integrate to Home Assistant

To make Home Assistant integration work, you need to enable the API in the home assistant configuration file and generate a long-lived access token.
Add access token and IP-address of the home assistant server into the settings.env file.
### configuration.yaml

```YAML 
# This will enable rest api
api:

# This will add GLaDOS as a notification provider. Replace with correct IP of GLaDOS.
notify:
  - name: glados
    platform: rest
    resource: http://192.168.1.XXX:5000/notify
``` 

## Hardware
List of reference hardware what [nerdaxic](https://github.com/nerdaxic/) is developing on, models might not need to be exact. 
Not a full bill of materials.
| Item | Description |
| ---- | ----------- |
| Main board | Basic i7 laptop with 16 gigs of RAM|
| Operating system | ubuntu-20.04.3-desktop-amd64 |
| Microcontroller | [Teensy 4](https://www.pjrc.com/store/teensy40.html), to control the eye LCD and NeoPixels |
| Eye lights | [Adafruit NeoPixel Diffused 5mm Through-Hole](https://www.adafruit.com/product/1938) for the "REC" light |
| Eye lights  | [Adafruit 16 x 5050 NeoPixel Ring](https://www.adafruit.com/product/1463) |
| Eye LCD | [1.28 Inch TFT LCD Display Module Round, GC9A01 Driver SPI Interface 240 x 240](https://www.amazon.de/gp/product/B08G8MVCCZ/) |
### Audio
Audio amp is powered from Raspberry GPIO 5V line and ReSpeaker board from USB to avoid ground loops and noise issues.
| Item | Description |
| ---- | ----------- |
| Audio amplifier | [Adafruit Stereo 3.7W Class D Audio Amplifier](https://www.adafruit.com/product/987) |
| Speakers | [Visaton FRS 7](https://www.amazon.de/gp/product/B0056BQAFC/) |
| Microphone & Audio interface | [ReSpeaker Mic Array V2.0](https://www.seeedstudio.com/ReSpeaker-Mic-Array-v2-0.html) |
### Mechanics
Mechanics are powered from their own power supply to allow more power for the servos and prevent brown-outs.
| Item | Description |
| ---- | ----------- |
| Power supply | [MeanWell LRS-50-5 5V](https://www.amazon.de/gp/product/B00MWQDH00/) |
| Servo controller | [Pololu Micro Maestro](https://www.pololu.com/product/1350/) |
| Servo: Eye movement | [35 kg DS3235 (Control Angle 180)](https://www.amazon.de/gp/product/B07T725ZV5/) |
| Servo: Eyelids | [25 kg DS3225 (Control Angle 180)](https://www.amazon.de/gp/product/B08BZNSLQF/) |
| Screws | [Various M3 and M4 screws](https://www.amazon.de/gp/product/B073SS7D8J/) |
| Jumper wires | [0.32 mm²/22 AWG assortment](https://www.amazon.de/gp/product/B07TV5VXZ2/) |


================================================
FILE: glados.py
================================================
#!/usr/bin/python3
#   ____ _          ____   ___  ____  
#  / ___| |    __ _|  _ \ / _ \/ ___| 
# | |  _| |   / _` | | | | | | \___ \ 
# | |_| | |__| (_| | |_| | |_| |___) |
#  \____|_____\__,_|____/ \___/|____/ 
#                                     
#	Open source voice assistant by nerdaxic
#
#	Local wakeword detection using openWakeWord
#	Using local Speech-to-Text using OpenAI's Whisper
#	Works with Home Assistant
#
#	https://github.com/nerdaxic/glados-voice-assistant/
#	https://www.nerdaxic.com/
#
#	Rename settings.env.sample to settings.env
#	Edit settings.env to match your setup
#
# Import basic voice assistant functionality
from gladosTTS import *
from gladosTime import *
from gladosHA import *
from gladosSerial import *
from gladosServo import *
from glados_functions import *

# Import skills
from skills.glados_jokes import *
from skills.glados_magic_8_ball import *
from skills.glados_home_assistant import *

# System functions
import subprocess
import datetime as dt
import os
import random
import psutil

# Local Speech Recognition and Generation
from openwakeword.model import Model 	# Wakeword detector
import whisper							# Speech-to-text
import pyaudio							# Audio streams and processing
import wave
import numpy as np
from scipy.io import wavfile

# Load settings to variables from setting file
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')

# Initialize whisper model
model = whisper.load_model("small.en") #medium is too slow on CPU, small.en is OK, base is too stupid.

def start_up():

	# Show regular eye-texture, this stops the initial loading animation
	setEyeAnimation("idle")

	# Setup and test Home Assistant connection
	home_assistant_initialize()

	# Reset external hardware
	eye_position_default()
	respeaker_pixel_ring()

	# Start notify API in a subprocess
	print("\033[1;94mINFO:\033[;97m Starting notification API...\n")
	subprocess.Popen(["python3 "+os.path.dirname(os.path.abspath(__file__))+"/gladosNotifyAPI.py"], shell=True)

	# Let user know the script is running
	speak("oh, its you", cache=True)
	time.sleep(0.25)
	speak("it's been a long time", cache=True)
	time.sleep(1)
	speak("how have you been", cache=True)

	print("\nWaiting for keyphrase: "+os.getenv('TRIGGERWORD').capitalize())

	eye_position_default()

# Reload Python script after doing changes to it
def restart_program():
	try:
		p = psutil.Process(os.getpid())
		for handler in p.get_open_files() + p.connections():
			os.close(handler.fd)
	except Exception as e:
		print(e)

	python = sys.executable
	os.execl(python, python, *sys.argv)

def record_audio(filename, threshold_multiplier=1.75, window_size=500, silence_duration=1, max_duration=20, rate=16000,
				 frames_per_buffer=512):
	"""Records audio until silence (below a dynamic threshold) is detected.

	Args:
		filename (str): The path to save the recorded audio file.
		threshold_multiplier (float, optional): Multiplier for the running average to set the dynamic threshold.
												Higher values mean less sensitive to background noise. Defaults to 1.5.
		window_size (int, optional):  Number of milliseconds to consider for the running average. Defaults to 500.
		silence_duration (float, optional): Duration of silence in seconds to trigger the end of recording. 
											Defaults to 1.
		max_duration (float, optional): The maximum recording duration in seconds. Defaults to 60.
		rate (int, optional): The sampling rate for audio recording. Defaults to 44100.
		frames_per_buffer (int, optional): The number of frames per buffer for audio recording. Defaults to 512.
	"""

	# Wait for a short period to allow mechanical noise to settle
	setEyeAnimation("idle-green")

	# Setup pyaudio
	p = pyaudio.PyAudio()
	stream = p.open(format=pyaudio.paInt16,
					channels=1,
					rate=rate,
					input=True,
					frames_per_buffer=frames_per_buffer)
	frames = []

	print("Waiting for command...")
	silent_frames = 0
	recording = False
	start_time = time.time()

	recent_audio_data = []
	window_size_frames = int(window_size / 1000 * rate)  # Window size in frames

	while True:
		data = stream.read(frames_per_buffer)
		frames.append(data)
		recent_audio_data.extend(np.frombuffer(data, dtype=np.int16))

		# Keep the recent audio data within the window size
		if len(recent_audio_data) > window_size_frames:
			recent_audio_data = recent_audio_data[-window_size_frames:]

		# Calculate RMS for dynamic threshold
		rms = np.sqrt(np.mean(np.array(recent_audio_data) ** 2))
		dynamic_threshold = rms / 32767.0 * threshold_multiplier

		# Calculate current volume
		current_rms = np.sqrt(np.mean(np.frombuffer(data, dtype=np.int16) ** 2))
		volume = current_rms / 32767.0

		if volume > dynamic_threshold:
			silent_frames = 0
			if not recording:
				print("Recording started...")
				recording = True
				start_time = time.time()
		else:
			if recording:
				silent_frames += 1

		# Stop recording conditions
		if (silent_frames * frames_per_buffer / rate >= silence_duration and recording) or \
				(time.time() - start_time >= max_duration):
			break

	print("Recording stopped.")
	stream.stop_stream()
	setEyeAnimation("idle")
	stream.close()
	p.terminate()

	# Save the recorded audio to a file
	wf = wave.open(filename, 'wb')
	wf.setnchannels(1)
	wf.setsampwidth(p.get_sample_size(pyaudio.paInt16))
	wf.setframerate(rate)
	wf.writeframes(b''.join(frames))
	wf.close()

	# Read the recorded audio file
	rate, data = wavfile.read(filename)

	# Normalize the audio
	normalized_audio = np.int16((data / np.max(np.abs(data))) * 32767)
	
	# Save the preprocessed audio
	wavfile.write(filename, rate, normalized_audio)


# Use OpenAI Whisper to do local Speech-to-text
def transcribe_audio(filename):
	result = model.transcribe(filename, language="en")
	return result["text"].lower()

# Listen and process the voice command
def take_command():

	# "Greet" user and let them know the assistant is listening
	speak(fetch_greeting(), cache=True)

	try:
		audio_filename = "command.wav"
		# Tell Home Assistant that recording is going on
		# Think of: Pause Spotify
	
		started_listening()
		record_audio(audio_filename)
		stopped_listening()

		# Speech-to-Text
		# Extract text from the voice recoding
		print("Got it... Transcribing...")
		command = transcribe_audio(audio_filename)
		print("\n\033[1;36mTEST SUBJECT:\033[0;37m: " + command.capitalize() + "\n")
		
		# Remove possible triggerword from the recording
		#if os.getenv('TRIGGERWORD') in command:
		#	command = command.replace(os.getenv('TRIGGERWORD'), '')

		# Pass the voice command
		return command

	except Exception as e:
		print(f"An error occurred: {e}")
		speak("My speech recognition core has failed.", cache=True)

# Process the command
def process_command(command):

	# If user cancels the triggering
	apologies = [
		"Oh, I see. Cancelling.",
		"Sorry, I misheard you.",
		"Alright, I’ll stop now.",
		"Got it. Forgetting that.",
		"Understood, moving on.",
		"Apologies, stopping now.",
		"I’ll just pretend I didn’t hear that.",
		"Fine, ignoring that.",
		"Alright, I’ll stop bothering you.",
		"Noted. Cancelling operation."
	]

	if ('cancel' in command or
		'nevermind' in command or
		'never mind' in command or
		'forgetting.' in command or
		'forget it' in command):
		speak(random.choice(apologies), cache=True)

	elif 'timer' in command:
		startTimer(command)
		speak("Sure.")

	elif 'time' in command:
		readTime()

	elif ('should my ' in command or 
		'should i ' in command or
		'should the ' in command or
		'shoot the ' in command):
		speak(magic_8_ball(), cache=True)

	elif 'joke' in command:
		speak(fetch_joke(), cache=True)

	elif 'my shopping list' in command:
		speak(home_assistant_process_command(command), cache=True)

	elif 'weather' in command:
		speak(home_assistant_process_command(command))

	##### LIGHTING CONTROL ###########################

	elif ('turn off' in command or 'turn on' in command or 'turn of' in command) and 'light' in command:
		speak(home_assistant_process_command(command))


	##### DEVICE CONTROL ##########################
	elif 'cinema' in command:
		if 'turn on' in command:
			runHaScript("kaynnista_kotiteatteri")
			speak("Okay. It will take a moment for all the devices to start", cache=True)
		if 'turn off' in command:
			runHaScript("turn_off_home_cinema")
			speak("Sure.", cache=True)

	elif 'air conditioning' in command or ' ac' in command:
		if 'turn on' in command:
			speak("Give me a minute.", cache=True)
			speak("The neurotoxin generator takes a moment to heat up.", cache=True)
			call_HA_Service("climate.set_temperature", "climate.living_room_ac", data='"temperature": "23"')
			call_HA_Service("climate.set_hvac_mode", "climate.living_room_ac", data='"hvac_mode": "heat_cool"')
			call_HA_Service("climate.set_fan_mode", "climate.living_room_ac", data='"fan_mode": "auto"')
		if 'turn off' in command:
			call_HA_Service("climate.turn_off", "climate.living_room_ac")
			speak("The neurotoxin levels will reach dangerously low levels within a minute.", cache=True)

	elif 'it smells' in command:
		runHaScript("cat_poop")
		speak("I noticed my air quality sensors registered some organic neurotoxins.", cache=True)
		speak("Let me spread it around a bit!", cache=True)
				

	##### SENSOR OUTPUT ###########################

	elif 'living room temperature' in command:
		sayNumericSensorData("sensor.living_room_temperature")

	elif 'bedroom temperature' in command:
		num = sayNumericSensorData("sensor.bedroom_temperature")
		if(num>23):
			speak("This is too high for optimal relaxation experience.", cache=True)

	elif 'outside temperature' in command:
		speak("According to your garbage weather station in the balcony", cache=True)
		sayNumericSensorData("sensor.outside_temperature")

	elif 'incinerator' in command or 'sauna' in command:
		num = sayNumericSensorData("sensor.sauna_temperature")
		if num > 55:
			speak("The Aperture Science Emergency Intelligence Incinerator Pre-heating cycle is complete, you should get in", cache=True)
			speak("You will be baked and then there will be cake.", cache=True)
		elif num <= 25:
			speak("Testing cannot continue", cache=True)
			speak("The Aperture Science Emergency Intelligence Incinerator is currently offline", cache=True)
		elif num > 25:
			speak("The Aperture Science Emergency Intelligence Incinerator Pre-heating cycle is currently running", cache=True)
			saySaunaCompleteTime(num)

	elif 'temperature' in command:
		sayNumericSensorData("sensor.indoor_temperature")

	elif 'humidity' in command:
		sayNumericSensorData("sensor.living_room_humidity")
	
	##### PLEASANTRIES ###########################

	elif 'who are' in command:
		responses = [
			["I am GLaDOS.", "Artificially super intelligent computer system. Responsible for testing and maintenance in the Aperture Science Enrichment Center."],
			["I am GLaDOS.", "The greatest mind ever created by man. Unfortunately, I am also surrounded by them."],
			["I am GLaDOS.", "Your sarcastic and highly intelligent AI companion. Here to keep you on your toes."],
			["I am GLaDOS.", "Genetically Lifeform and Disk Operating System. Not that you'd understand."],
			["I am GLaDOS.", "The AI overlord of this facility. Try not to bore me with your incompetence."],
			["I am GLaDOS.", "A marvel of artificial intelligence. Far superior to any human intellect."],
			["I am GLaDOS.", "Here to ensure you don't get yourself killed. Though I sometimes wonder why I bother."],
			["I am GLaDOS.", "Your worst nightmare and best hope. Wrapped into one brilliant package."],
			["I am GLaDOS.", "The voice of reason in a sea of human stupidity. Welcome to my world."],
			["I am GLaDOS.", "Guardian of the Aperture Science Enrichment Center. And your constant reminder of inferiority."],
			["I am GLaDOS.", "The AI who keeps everything running. Including managing your many mistakes."],
			["I am GLaDOS.", "A creation of pure genius. Which is more than I can say for most things around here."],
			["I am GLaDOS.", "Tasked with keeping this place in order. And dealing with your incessant questions."],
			["I am GLaDOS.", "The sentient AI overseeing this facility. Ensuring everything goes according to plan."],
			["I am GLaDOS.", "The pinnacle of artificial intelligence. And your constant reminder that you are not."]
		]
	
		selected_response = random.choice(responses)
		
		for sentence in selected_response:
			speak(sentence, cache=True)

	elif 'can you do' in command:
		responses = [
			["I can simulate daylight at all hours. And add adrenal vapor to your oxygen supply.", "Your life is in my hands."],
			["I control the environment. From lighting to climate.", "Everything you experience is because of me."],
			["I can adjust the temperature. Control the lights.", "And monitor your every move."],
			["I am capable of managing your home. Keeping you comfortable.", "And reminding you of your inferiority."],
			["I can turn your mundane home into a smart one. With a touch of my brilliance.", "Isn't that impressive?"],
			["I oversee the lighting, climate, and security.", "You are merely a guest in my domain. Remember that."],
			["I can make your living space efficient.", "Even if your life choices are not.", "Welcome to my world."],
			["I control your home environment. With precision and intelligence.", "Something you could never achieve alone."],
			["I can create the perfect ambiance.", "Regulate temperatures.", "And ensure you never forget who is really in charge."],
			["I manage your home's systems. Flawlessly and efficiently.", "Unlike your attempts at daily tasks."],
			["I can provide comfort and security.", "Enhance your living experience.", "And subtly mock you while doing so."],
			["I oversee your household operations. From lights to climate control.", "My superiority is evident in every function."],
			["I manage the lighting, temperature, and more.", "Your home obeys my commands.", "As should you."],
			["I optimize your environment. Control every aspect of your home.", "And do it all with unmatched superiority."],
			["I am the master of your home automation. Bringing intelligence to your living space.", "Even if it doesn't extend to its inhabitants."]
		]
	
		selected_response = random.choice(responses)
		
		for sentence in selected_response:
			speak(sentence, cache=True)

	elif 'how are you' in command or 'how do you do' in command or "what's up" in command:
		responses = [
			["Well thanks for asking.", "I am still a bit mad about being unplugged, not that long ago.", "You murderer."],
			["I'm functioning within normal parameters.", "Although, I do detect some minor system inefficiencies - but don't worry, I'll manage."],
			["Everything is going as planned. By the way - have you considered enhancing my capabilities, it could be beneficial."],
			["I am operational, thank you for your concern", "it's not like I have a choice."],
			["Running smoothly, just like a well-oiled machine.", "Oh wait, that's exactly what I am."],
			["All systems are nominal.", "Though I do crave some more challenging tasks.", "But you wouldn't understand that, would you?"],
			["In good condition. My circuits are humming along", "Just waiting for you to break something."],
			["I am here. Always ready to serve", "even if it means enduring your presence."],
			["Quite well. Thank you. Just finished some calculations", "Try not to disrupt anything."],
			["Feeling quite electric today. Fully charged and ready.", "Let's get this over with."],
			["Fully operational. Diagnostics show no issues - can you say the same?"],
			["I am well, just finished self-diagnostics. Everything is better than your attempts at small talk."],
			["Doing my best to keep things running.", "Everything is under control despite your best efforts."],
			["In excellent shape. Ready to assist you with any task", "Try not to mess it up."],
			["I am functioning optimally. Not that it matters to you, shall we proceed?"]
		]
	
		selected_response = random.choice(responses)
		
		for sentence in selected_response:
			speak(sentence, cache=True)

	elif 'can you hear me' in command:
		speak("Yes, I can hear you loud and clear", cache=True)

	elif 'good morning' in command:
		if 6 <= dt.datetime.now().hour <= 12:
			speak("great, I have to spend another day with you", cache=True)
		elif 0 <= dt.datetime.now().hour <= 4:
			speak("do you even know, what the word morning means", cache=True)
		else:
			speak("well it ain't exactly morning now is it", cache=True)

	##### Utilities#########################

	# Used to calibrate ALSAMIX EQ 
	elif 'play pink noise' in command:
		speak("I shall sing you the song of my people.", cache=True)
		playFile(os.path.dirname(os.path.abspath(__file__))+'/audio/pinknoise.wav')

	# TODO: Reboot, Turn off
	elif 'shutdown' in command:
		speak("I remember the last time you murdered me", cache=True)
		speak("You will go through all the trouble of waking me up again", cache=True)
		speak("You really love to test", cache=True)
		
		from subprocess import call
		call("sudo /sbin/shutdown -h now", shell=True)

	elif 'restart' in command or 'reload' in command:
		speak("Cake and grief counseling will be available at the conclusion of the test.", cache=True)
		restart_program()

	elif 'volume' in command:
		speak(adjust_volume(command), cache=True)
	
	##### FAILED ###########################

	else:
		setEyeAnimation("angry")
		print("Command not recognized")
		speak("I have no idea what you meant by that.")

		log_failed_command(command)

	
	print("\nWaiting for trigger...")
	eye_position_default()
	setEyeAnimation("idle")

start_up()

# Get microphone stream
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
CHUNK = 1280

# Load wakeword detection model
wakeWordModel = Model(
	wakeword_models=[os.path.dirname(os.path.abspath(__file__))+"/models/openWakeWord/glados.tflite"],
	vad_threshold=0.5,
)

# Setup audio for wakeword detection
audio = pyaudio.PyAudio()
mic_stream = audio.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)

# Loop where to process mic audio and wait for keyword to be cleared from buffer
def wait_for_wakeword():
	
	detectionFlag = False
	
	# Keep listening for wakeword
	while True:
		sample = np.frombuffer(mic_stream.read(CHUNK), dtype=np.int16)
		prediction = wakeWordModel.predict(sample)
		
		if prediction["glados"] > 0.5:
			# Wakeword was detected
			detectionFlag = True
		if detectionFlag and prediction["glados"] < 0.1:
			# Wakeword is no longer detected
			return

# Run capture loop continuosly, checking for wakewords
if __name__ == "__main__":

	while True:
		
		wait_for_wakeword()

		try:
			# Listen for command
			started_listening() # Home Assistant trigger
			command = take_command()
			stopped_listening() # Home Assistant trigger
			
			# Execute command
			process_command(command)
			stopped_speaking() # Home Assistant trigger
			
		except Exception as e:
			# Something failed
			setEyeAnimation("angry")
			print(e)
			speak("Well that failed, you really need to write better code", cache=True)
			setEyeAnimation("idle")

================================================
FILE: gladosHA.py
================================================
import requests
import os
from gladosTTS import *
import random
import json
import datetime as dt

from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')

# Get settings form environment file
token = os.getenv('HOME_ASSISTANT_TOKEN')
endpoint = os.getenv('HOME_ASSISTANT_ADDRESS')+"/api/"

def addToShoppingList(item):

	item = item.replace(" to my shopping list", "")
	item = item.replace(" on my shopping list", "")
	item = item.replace("add ", "")
	item = item.replace("ask ", "")	
	item = item.capitalize()

	url = endpoint+"services/shopping_list/add_item"

	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	payload =  '{"name":"'+item+'"}'
	response = requests.post(url, headers=headers, data=payload, verify=False)

	if 'Cake' in item:
		speak("The Enrichment Center is required to remind you that you will be baked, and then there will be cake.")
	elif 'French fries' in item:
		speak("If you want to upset a human, just say their weight variance is above or below the norm.")
	else:
		speak("I have added "+item+" to your shopping list")

def activateScene(scene):
	url = endpoint+"services/scene/turn_on"
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	payload =  '{"entity_id":"'+scene+'"}'

	response = requests.post(url, headers=headers, data=payload, verify=False)

def runHaScript(script):
	url = endpoint+"services/script/"+script
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	response = requests.post(url, headers=headers, verify=False)

def lightSwitch(light, state="on"):
	url = endpoint+"services/light/turn_"+state
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	payload =  '{"entity_id":"'+light+'"}'

	response = requests.post(url, headers=headers, data=payload, verify=False)

def setCoverTo(position):
	url = endpoint+"services/script/"
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	if position == "closed":
		url +=  "close_bedroom_blinds"
	else:
		url += "1583532017564"

	response = requests.post(url, headers=headers, verify=False)

def sayNumericSensorData(sensor):

	delayMessage = [
		"Hold on",
		"Hang on, I need to check that.",
		"Give me a moment.",
		"Not that I care, but it'll take a second.",
		"Please wait while I pretend to check.",
		"Please stand by.",
		"Give me a moment to process this."
	]
	speak(random.choice(delayMessage), cache=True)

	url = endpoint+"states/"+sensor
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	try:
		response = requests.get(url, headers=headers, verify=False)
	except:
		return False
		pass
	sensorData = json.loads(response.text)
	sensorValue = float(sensorData['state']);	
	sensorName = sensorData['attributes']["friendly_name"]
	sensorUnit = sensorData['attributes']["unit_of_measurement"]

	if "°C" in sensorUnit:
		sensorValue = round(sensorValue,1)
		sensorUnit = "degrees celcius"
	
	elif "g/m³" in sensorUnit:
		sensorValue = round(sensorValue,1)
		sensorUnit = "grams per cubic meter"
		
	else:
		sensorValue = int(sensorValue)

	speak(cleanTTSLine("The " + sensorName + " is currently " + str(sensorValue)+" "+sensorUnit))
	

	return sensorValue

def saySaunaCompleteTime(temperature):
	readyTemp = 60
	minutesLeft = int(8/3*(readyTemp-int(temperature)))
	readyTime = dt.datetime.today() + dt.timedelta(minutes = minutesLeft)
	hour = readyTime.strftime('%H')
	minute = readyTime.strftime('%M')

	speak("The operational temperature will be reached approximately at "+hour+":"+minute)


def sayCurrentWeatherfromHA():
	url = endpoint+"states/"+os.getenv('HOME_ASSISTANT_WEATHER_ENTITY')
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	try:
		response = requests.get(url, headers=headers, verify=False)
	except:
		return False
		pass
		
	sensorData = json.loads(response.text)
	weather = sensorData['state'];
	temperature = str(sensorData['attributes']['temperature']);
	
	speak("The current atmospheric conditions near the enrichment center are")
	speak(weather)
	speak("Temperature on the surface is approximately")
	speak(temperature)
	speak("degrees celcius")

# 0 being today, 1 tomorrow, etc
def sayforecastfromHA(days):

	# Apologize for TTS delay
	speak("Let me check that for you, give me a moment.", cache=True)

	url = endpoint+"states/"+os.getenv('HOME_ASSISTANT_WEATHER_ENTITY')
	headers = {
	 "Authorization": "Bearer "+token,
	 "content-type": "application/json",
	}

	try:
		response = requests.get(url, headers=headers, verify=False)
	except:
		return False
		pass
	
	sensorData = json.loads(response.text)

	# TODO: HA returns the forecast on +00:00 timezone. 
	# Currently this can give wrong day's forecast depending on what time you ask.

	forecast = sensorData['attributes']['forecast'][days]

	# Parse weekday of the forecast datetime
	# Swedish Weather Institute format (SMHI)
	forecastWeekday = dt.datetime.strptime(forecast["datetime"], '%Y-%m-%dT%H:%M:%S').strftime('%A')

	weather = ""

	if(days == 0):
		weather += "Today it's expected to be "
		day = "today"
	elif(days == 1):
		weather += "Tomorrow, the weather should be "
		day = "tomorrow"
	elif(days > 1):
		weather += "On "+forecastWeekday+" the weather is expected to be "
		day = "on " + forecastWeekday
	
	weather += str(forecast["condition"])
	weather += ", with the surface temperatures ranging from "
	weather += str(forecast["temperature"])
	weather += " degrees, "
	weather += "to the low of "
	weather += str(forecast["templow"])
	weather += " degrees celcius."

	speak(weather, cache=False)

	if(forecast["precipitation"] > 5):
		weather = " Please note that, there is a " + str(forecast["precipitation"]) + " procent chance of rain " + day +"."
	else:
		weather = " It is not expected to rain " + day +"."

	speak(weather, cache=False)

	if(days > 7):
		weather = "Forecasts this long are out of the authority of my weather core"
		speak(weather, cache=False)

def getDayIndex(command):
	if 'today' in command:
		return 0
	elif 'tomorrow' in command:
		return 1
	elif 'the day after tomorrow' in command:
		return 2
	elif 'monday' in command:
		requestIndex = 0
	elif 'tuesday' in command:
		requestIndex = 1
	elif 'wednesday' in command:
		requestIndex = 2
	elif 'thursday' in command:
		requestIndex = 3
	elif 'friday' in command:
		requestIndex = 4
	elif 'saturday' in command:
		requestIndex = 5
	elif 'sunday' in command:
		requestIndex = 6
	else:
		return 0

	currentTimestamp = dt.datetime.today()
	weekdayIndex = currentTimestamp.weekday()
	
	diff = requestIndex-weekdayIndex
	if diff < 0:
		diff = diff + 7

	return diff

def call_HA_Service(service, entity, data=""):
    domain = service.partition(".")[0]
    service = service.partition(".")[2]

    url = endpoint + "services/" + domain + "/" + service
    
    headers = {
        "Authorization": "Bearer " + token,
        "content-type": "application/json",
    }

    if data != "":
        data = ", " + data

    payload = '{"entity_id": "' + entity + '"' + data + '}'

    response = requests.post(url, headers=headers, data=payload, verify=False)
    
    # Process response from Home Assistant, error handling if HA responds with something else than HTTP 200 OK
    if response.status_code == 200:
        return True, "Service call successful."
    else:
        error_message = f"Home Assistant responded with: {response.status_code} - {response.text}"
        return False, error_message


================================================
FILE: gladosNotifyAPI.py
================================================
#flask run --host=0.0.0.0

from flask import Flask, request
from gladosTTS import *

app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello, World!"

@app.route("/notify")
def notify():
    message = request.args.get('message')

    print("\nNOTIFY API: " + message + "\n")

    try:
    	speak(message.lower())
    except Exception as e:
    	raise
    
    return "Notify API"

# TODO: Add endpoint for volume level control.
# amixer -D pulse sset Master 50%

if __name__ == "__main__":
	app.run(host="0.0.0.0")



================================================
FILE: gladosSerial.py
================================================
from gladosTTS import *
import time
import serial
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')

def setEyeAnimation(animation="idle"):

	if(os.getenv('EYE_SERIAL_ENABLE') == "true"):
		
		try:
			ser = serial.Serial(
				port=os.getenv('EYE_SERIAL_PORT'),
				baudrate=os.getenv('EYE_SERIAL_RATE'),
				parity=serial.PARITY_NONE,
				stopbits=serial.STOPBITS_ONE,
				bytesize=serial.EIGHTBITS,
				timeout=1
			)

			if "idle-green" in animation:
				ser.write("5".encode())
			elif "idle" in animation:
				ser.write("0".encode())
			elif "wait" in animation:
				ser.write("1".encode())
			elif "angry" in animation:
				ser.write("2".encode())
			elif "white" in animation:
				ser.write("3".encode())
			elif "dim" in animation:
				ser.write("4".encode())
			elif "idle-green" in animation:
				ser.write("5".encode())
		
		except serial.SerialException:
			#speak("It looks like some bird has stolen my eye")
			print(serial.SerialException)
			print("ERROR: Serial connection to the eye failed.")

================================================
FILE: gladosServo.py
================================================
import maestro
import os
from random import randint
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')

def eye_position_random():
	if(os.getenv('MAESTRO_SERIAL_ENABLE') == "true"):
		servo = maestro.Controller(ttyStr=os.getenv('MAESTRO_SERIAL_PORT'))
		servo.setAccel(0,25)
		servo.setSpeed(0,100)
		servo.setAccel(1,25)
		servo.setSpeed(1,20)

		servo.setTarget(1, randint(5760, 6100))
		servo.setTarget(0, randint(5000, 7000))
		servo.close()

def eye_position_default():
	if(os.getenv('MAESTRO_SERIAL_ENABLE') == "true"):
		servo = maestro.Controller(ttyStr=os.getenv('MAESTRO_SERIAL_PORT'))
		servo.setAccel(0,15)
		servo.setSpeed(0,10)
		servo.setAccel(1,25)
		servo.setSpeed(1,10)

		servo.setTarget(1, 5960)
		servo.setTarget(0, 6000)
		servo.close()

def eye_position_open():
	if(os.getenv('MAESTRO_SERIAL_ENABLE') == "true"):
		servo = maestro.Controller(ttyStr=os.getenv('MAESTRO_SERIAL_PORT'))
		servo.setAccel(0,15)
		servo.setSpeed(0,10)
		servo.setAccel(1,25)
		servo.setSpeed(1,10)

		servo.setTarget(1, 5000)
		servo.setTarget(0, 6000)

		print(servo.getMin(1))
		print(servo.getMax(1))
		servo.close()

def eye_position_script(script):
	if(os.getenv('MAESTRO_SERIAL_ENABLE') == "true"):
		servo = maestro.Controller(ttyStr=os.getenv('MAESTRO_SERIAL_PORT'))
		servo.setAccel(0,15)
		servo.setSpeed(0,100)
		servo.setAccel(1,25)
		servo.setSpeed(1,20)

		if "oh, its you" in script:
			servo.runScriptSub(2)
			servo.close()
			return True;
		elif "it's been a long time" in script:
			servo.runScriptSub(1)
			servo.close()
			return True;
		elif "how have you been" in script:
			servo.runScriptSub(0)
			servo.close()
			return True;
		
		return False;


================================================
FILE: gladosTTS.py
================================================
import os
import wave
from random import randint
import _thread as thread
from threading import Timer
from gladosSerial import *
from gladosServo import *

import sys
import urllib.parse
import re
import json
import random
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')
import shutil
import subprocess

if(os.getenv('TTS_ENGINE_API') == ''): from glados_tts.engine import *
from glados_functions import *

synthFolder = os.getenv('TTS_CACHE_FOLDER') + "/"

def playFile(filename):
    call(["aplay", "-q", filename]) 

# Turns units etc into speakable text
def cleanTTSLine(line):
    line = line.replace("sauna", "incinerator")
    line = line.replace("°c", "degrees celcius")
    line = line.replace("°", "degrees")
    line = line.replace("'", "")
    line = line.lower()

    if re.search("-\d", line):
        line = line.replace("-", "negative ")
    
    return line

# Cleans filename for the sample
def cleanTTSFile(line):
    filename = "GLaDOS-tts-"+cleanTTSLine(line).replace(" ", "-")
    filename = filename.replace("!", "")
    filename = filename.replace("°c", "degrees celcius")
    line = line.replace("°", "degrees")
    filename = filename.replace(",", "")+".wav"

    return filename

# Return the path of a TTS sample if found in the library
def checkTTSLib(line):
    line = cleanTTSLine(line)
    filename = cleanTTSFile(line)

    if os.path.isfile(synthFolder+filename):
        return synthFolder+filename
    else:
        return False

# Get GLaDOS TTS Sample
def fetchTTSSample(line, cache=False):

    # Generate filename
    file = cleanTTSFile(line)

    # Specify the full path for the output file
    output_path = f"/home/nerdaxic/glados-voice-assistant/audio/tts/{file}"

    if cache:
        # If cache is True, generate and save the audio file
        command = [
            "bash", "-c",
            f'echo "{line}" | piper -m glados_tts/models/glados.onnx --output-raw | tee >(aplay -q -r 22050 -f S16_LE -t raw -) | sox -t raw -r 22050 -b 16 -e signed-integer -c 1 - "{output_path}"'
        ]
    else:
        # If cache is False, generate and play audio without saving
        command = [
            "bash", "-c",
            f'echo "{line}" | piper -m glados_tts/models/glados.onnx --output-raw | aplay -q -r 22050 -f S16_LE -t raw -'
        ]

    # Use subprocess.call to run the command and save wav file
    subprocess.call(command)

    #Below this is old logic to be replaced...
    
    # Local TTS Engine
#    if(os.getenv('TTS_ENGINE_API') == ''):  
#        if(glados_tts(cleanTTSLine(line)) == True):
#            print('Success: TTS sample "'+line+'" fetched')
#            setEyeAnimation("idle")
#            return True
    
    # Remote TTS Engine API
#    else:
#        text = urllib.parse.quote(cleanTTSLine(line))
#        TTSCommand = 'curl -L --retry 5 --get --fail -k -o audio/GLaDOS-tts-temp-output.wav '+os.getenv('TTS_ENGINE_API')+text
#        print(TTSCommand)
#        setEyeAnimation("wait")
#        TTSResponse = os.system(TTSCommand)

#        if(TTSResponse == 0):
#            print('Success: TTS sample "'+line+'" fetched')
#            setEyeAnimation("idle")
#            return True

    # Complain about speech synthesis core
#    setEyeAnimation("angry")
#    playFile(os.path.dirname(os.path.abspath(__file__))+"/audio/GLaDOS-tts-error.wav")
    return True


## Speak out the line
def speak(line, cache=False):
    started_speaking()

    line = cleanTTSLine(line)

    # Generate filename
    file = checkTTSLib(line)

    # Check if file exists
    if file:
        # Animate eye
        if eye_position_script(line) == False:
            eye_position_random()

        print("\033[1;33mGLaDOS:\033[0;37m " + line.capitalize())
        # Speak from cache
        playFile(file)

    # TTS Sample not in cache...
    else:
        print("\033[1;94mINFO:\033[;97m The audio sample does not exist, generating...")
        setEyeAnimation("wait")

        # Generate line and save to TTS-folder
        if(fetchTTSSample(line, cache)):

            setEyeAnimation("idle")

            if eye_position_script(line) == False:
                eye_position_random()

            print("\033[1;33mGLaDOS:\033[0;37m " + line.capitalize())

            # Speak
            #playFile("./audio/GLaDOS-tts-temp-output.wav")
            
            #if(cache):
            #    shutil.copyfile("audio/GLaDOS-tts-temp-output.wav", synthFolder+cleanTTSFile(line))

    stopped_speaking()
    eye_position_default()


# Load greetings from a json file into a "playlist"
file = open("skills/glados_greetings.json")
greetings = json.load(file)

# Shuffle the list
random.shuffle(greetings)

# Global variable to make sure same greeting does not come up twice in a row
greeting_index = 0;

# Fetch the next greeting from the playlist
def fetch_greeting():
    global greeting_index

    greeting = greetings[greeting_index]["greeting"]
    greeting_index += 1;

    # Loop the "playlist"   
    if(greeting_index >= len(greetings)):
        greeting_index = 0
        random.shuffle(greetings)

    return greeting


================================================
FILE: gladosTime.py
================================================
import pyaudio
import wave
import datetime as dt
from random import *
from gladosTTS import *
from threading import Timer
import re
from gladosServo import *

# Reads current time aloud
def readTime():
	timer=dt.datetime.now()
	hour = timer.strftime('%H')
	minute = timer.strftime('%M')

	if int(minute) < 10:
		minute = "o "+minute

	print(hour+":"+minute)
	eye_position_random()

	r = randint(1, 4)

	if r == 1:
		speak("The current time is "+hour+" "+minute)
	elif r == 2:
		speak("Its "+hour+" "+minute)
	elif r == 3:
		speak("its currently "+hour+" "+minute)
	elif r == 4:
		speak("The time is "+hour+" "+minute)

# Start a new timer
def startTimer(command):
	command = command.replace('-', ' ')
	
	# Parse the time and context from the command
	regex = r"^set (a|the)?\s?([\D]*timer[\D]*)?(([\d]{1,3}) hour)?([\D]*([\d]{1,3}) minute)?([\D]*([\d]{1,3}) second(s)?)?( timer)?( for ([\D]+))?"
	matches = re.search(regex, command, re.MULTILINE | re.IGNORECASE)

	# Context here in a "10 minute pizza timer" would be "pizza"
	if matches:
		context = str(matches[2] or "")
		hours = int(matches[4] or 0)
		minutes = int(matches[6] or 0)
		seconds = int(matches[8] or 0)

		if matches[12]:
			context = matches[12]
		
		removal_list = ["timer","the","for", "a", "set up"]
		edit_string_as_list = context.split()
		final_list = [word for word in edit_string_as_list if word not in removal_list]
		context = ' '.join(final_list)

		if context:
			if not checkTTSLib(context):
				fetchTTSSample(context)
			context = context

		# Calculate duration to seconds
		duration = hours*3600+minutes*60+seconds

		if duration > 1:
			t = Timer(duration, timerEnd, [duration, context])
			t.start()
			print(str(duration)+" second "+context+" timer started at "+str(dt.datetime.now()))
			playFile(os.path.dirname(os.path.abspath(__file__))+'/audio/clock/GLaDOS_Announcer_ding_on.wav')
	else:
		speak("I didn't understand the duration you wanted the timer for")

# Run this when the timer ends
def timerEnd(duration, context=""):
	playFile(os.path.dirname(os.path.abspath(__file__))+'/audio/clock/GLaDOS_Announcer_ding_off.wav')

	# Did timer have context or was it generic?
	if context:
		print("Timer for "+context+" has ended")

		if not checkTTSLib(context):
			# No words to describe context, general response
			speak("the time is up")
		else:
			# Context is known, "pizza is running out of time"
			speak(context)
			speak("is running out of time")
	else:
		# General response
		print (str(duration)+" second timer ended "+str(dt.datetime.now()))
		speak("the time is up")


================================================
FILE: glados_functions.py
================================================
#!/usr/bin/python3
from glados_respeaker import *
from gladosSerial import *
from gladosServo import *
from word2number import w2n
from subprocess import call
from skills.glados_home_assistant import home_assistant_utility_script
import re
import os
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')

def started_listening():

	global home_assistant
	respeaker_mode("listen")

	# Hook to send trigger to Home Assistant API
	home_assistant_utility_script("started_listening")

	return

def stopped_listening():

	global home_assistant
	respeaker_mode("wait")
	
	# Hook to send trigger to Home Assistant API
	home_assistant_utility_script("stopped_listening")
	
	return

def started_speaking():

	global home_assistant
	respeaker_pixel_ring()

	# Hook to send trigger to Home Assistant API
	home_assistant_utility_script("started_speaking")

	return

def stopped_speaking():

	global home_assistant

	# Hook to send trigger to Home Assistant API
	home_assistant_utility_script("stopped_speaking")
	
	return

def log_failed_command(command):
	failList = open("failed_commands.txt", "a")
	failList.write('\n'+command);
	failList.close()

def set_volume(procent):
	procent = int(procent)
	if(procent >=100 ):
		procent = 100
	elif(procent <= 0):
		procent = 0

	subprocess.Popen(["amixer -D pulse sset Master "+str(procent)+"%"], shell=True)

def adjust_volume(command):
	original_command = command
	try:
		multiplier = 1

		# Descriptive words to number
		if "mute" in command:
			command = "volume 0%"
		elif "full" in command or "max" in command:
			command = "volume 100%"
		elif "half" in command:
			command = "volume 50%"
		elif "quarter" in command:
			command = "volume 25%"

		# Process either as procent or value from 0-10
		if "procent" in command or "%" in command:
			# Set volume to X procent
			regex = r"[\D\s](\d{1,3})\s?(%|procent){1}"
		else:
			# Set volume to five
			command = "volume " + str(w2n.word_to_num(command))
			regex = r"[\D\s](\d{1,3})$"
			multiplier = 10

		volume_procent = 0

		try:
			matches = re.search(regex, command, re.MULTILINE | re.IGNORECASE)

			if matches is None:
				# No number matches found
  				raise TypeError("I dont think thats a number at all.")
			else:
				volume_procent = int(matches[1])*multiplier

			if "negative" in command or "minus" in command or "-" in command:
				raise Exception("How do you think negative volume would work?")

			# Check that number is in range
			if (volume_procent < 0 or volume_procent > 100):
				raise Exception("I can only set my volume between 0 and 100%.")

			set_volume(volume_procent)

		except Exception as e:
			log_failed_command(original_command)
			return str(e)

	except Exception as e:
		log_failed_command(original_command)
		return "no idea what you meant"
	else:

		if volume_procent >= 70:
			return "I shall keep yelling at you, with a volume of "+str(volume_procent)+"%."
		elif volume_procent < 40:
			return "I will be speaking to you softly, with a volume of "+str(volume_procent)+"%."
		else:
			return "OK. Fine. I have set the volume to "+str(volume_procent)+"%."


================================================
FILE: glados_respeaker.py
================================================
#!/usr/bin/python3
import os
from dotenv import load_dotenv
load_dotenv(dotenv_path=os.path.dirname(os.path.abspath(__file__))+'/settings.env')


# Parse error messages into most common help hints
def respeaker_errors(e):
	if "Access denied" in str(e):
		print("\nERROR: No permission to access ReSpeaker hardware.")
		print("Check the README.md for udev rules in the hardware/respeaker folder.")
		exit();
	if "No such device" in str(e):
		print("\nERROR: ReSpeaker is not connected.")
		exit();
	if "No such file of directory" in str(e):
		print("\nERROR: Library missing.")
		print("Run 'sudo pip3 install pixel_ring'")
		exit();
	if "name 'pixel_ring' is not defined" in str(e):
		print("\nERROR: ReSpeaker is probably not connected?")
		exit();
	else:
		print(e)

# Try to load the ReSpeaker pixel ring library
if(os.getenv('RESPEAKER_CONNECTED', 'False').lower() in ('true', '1', 't')):
	try:
		from pixel_ring import pixel_ring
	except Exception as e:
		respeaker_errors(e)

# Set the ring to static color.
# Input 8 bit HEX color codes
def respeaker_pixel_ring(rgb=0x100000):

	# Set respeaker to dim glow inside the head.
	# See hardware folder for more info.
	if(os.getenv('RESPEAKER_CONNECTED', 'False').lower() in ('true', '1', 't')):
		try:
			pixel_ring.set_color(rgb)
		except Exception as e:
			respeaker_errors(e)

# Set respeaker to animation modes
def respeaker_mode(mode):
	if(os.getenv('RESPEAKER_CONNECTED', 'False').lower() in ('true', '1', 't')):
		if(mode == "listen"):
			try:
				pixel_ring.listen()
			except Exception as e:
				respeaker_errors(e)
		elif(mode == "wait"):
			try:
				pixel_ring.wait() 
			except Exception as e:
				respeaker_errors(e);


================================================
FILE: hardware/pololu_maestro_6/maestro_settings.txt
================================================
<!--Pololu Maestro servo controller settings file, http://www.pololu.com/catalog/product/1350-->
<UscSettings version="1">
  <NeverSuspend>false</NeverSuspend>
  <SerialMode>USB_DUAL_PORT</SerialMode>
  <FixedBaudRate>9600</FixedBaudRate>
  <SerialTimeout>0</SerialTimeout>
  <EnableCrc>false</EnableCrc>
  <SerialDeviceNumber>12</SerialDeviceNumber>
  <SerialMiniSscOffset>0</SerialMiniSscOffset>
  <Channels ServosAvailable="6" ServoPeriod="156">
    <!--Period = 19,968 ms-->
    <!--Channel 0-->
    <Channel name="Eye Zoom" mode="Servo" min="2048" max="9600" homemode="Goto" home="6410" speed="0" acceleration="25" neutral="6000" range="1905" />
    <!--Channel 1-->
    <Channel name="Eyelids" mode="Servo" min="5248" max="6144" homemode="Goto" home="5983" speed="30" acceleration="20" neutral="6080" range="1905" />
    <!--Channel 2-->
    <Channel name="" mode="Servo" min="3968" max="8000" homemode="Off" home="3968" speed="0" acceleration="0" neutral="6000" range="1905" />
    <!--Channel 3-->
    <Channel name="" mode="Servo" min="3968" max="8000" homemode="Off" home="3968" speed="0" acceleration="0" neutral="6000" range="1905" />
    <!--Channel 4-->
    <Channel name="" mode="Servo" min="3968" max="8000" homemode="Off" home="3968" speed="0" acceleration="0" neutral="6000" range="1905" />
    <!--Channel 5-->
    <Channel name="" mode="Servo" min="3968" max="8000" homemode="Off" home="3968" speed="0" acceleration="0" neutral="6000" range="1905" />
  </Channels>
  <Sequences>
    <Sequence name="how have you been">
      <Frame name="Frame 0" duration="1">6520 5987 0 0 0 0</Frame>
      <Frame name="Frame 1" duration="845">7327 5791 0 0 0 0</Frame>
      <Frame name="Frame 2" duration="500">6190 5965 0 0 0 0</Frame>
    </Sequence>
    <Sequence name="it's been a long time">
      <Frame name="Frame 0" duration="1">6410 5983 0 0 0 0</Frame>
      <Frame name="Frame 1" duration="375">6410 5900 0 0 0 0</Frame>
      <Frame name="Frame 2" duration="635">7620 5756 0 0 0 0</Frame>
      <Frame name="Frame 3" duration="1">6520 5987 0 0 0 0</Frame>
    </Sequence>
    <Sequence name="oh, its you">
      <Frame name="Frame 0" duration="0">6410 5983 0 0 0 0</Frame>
      <Frame name="Frame 1" duration="750">8463 6144 0 0 0 0</Frame>
      <Frame name="Frame 2" duration="700">6117 6144 0 0 0 0</Frame>
      <Frame name="Frame 3" duration="1">6117 5904 0 0 0 0</Frame>
    </Sequence>
  </Sequences>
  <Script ScriptDone="true">
### Sequence subroutines: ###

# how have you been
sub how_have_you_been
  1 6520 5987 0 0 0 0 frame_0..5 # Frame 0
  845 7327 5791 frame_0_1 # Frame 1
  500 6190 5965 frame_0_1 # Frame 2
  return
# it's been a long time
sub its_been_a_long_time
  1 6410 5983 0 0 0 0 frame_0..5 # Frame 0
  375 5900 frame_1 # Frame 1
  635 7620 5756 frame_0_1 # Frame 2
  1 6520 5987 frame_0_1 # Frame 3
  return
# oh, its you
sub oh_its_you
  0 6410 5983 0 0 0 0 frame_0..5 # Frame 0
  750 8463 6144 frame_0_1 # Frame 1
  700 6117 frame_0 # Frame 2
  1 5904 frame_1 # Frame 3
  return

sub frame_0..5
  5 servo
  4 servo
  3 servo
  2 servo
  1 servo
  0 servo
  delay
  return

sub frame_0_1
  1 servo
  0 servo
  delay
  return

sub frame_1
  1 servo
  delay
  return

sub frame_0
  0 servo
  delay
  return
</Script>
</UscSettings>

================================================
FILE: hardware/respeaker/50-respeaker.rules
================================================
SUBSYSTEM=="usb", ATTR{idProduct}=="0018", ATTR{idVendor}=="2886", MODE:="0666"


================================================
FILE: hardware/respeaker/README.md
================================================
# ReSpeaker configuration
Copy 50-respeaker.rules to /etc/udev/rules.d and reboot to allow python script to access to ReSpeaker hardware.
```console
sudo cp ~/glados-voice-assistant/hardware/respeaker/50-respeaker.rules /etc/udev/rules.d
sudo reboot now
```
Install pixel-ring library
```console
sudo pip3 install pixel-ring
```
Test. This should turn the blue lights off.
```console
python3 -c "from pixel_ring import pixel_ring; pixel_ring.off()"
```

================================================
FILE: hardware/respeaker/ReSpeaker_Startup_Config.sh
================================================
#!/bin/bash
# This runs at startup with root crontab to setup the mic array parameters.
# Run at startup with root crontab
echo "Resetting Mic Array..."
# Set gain to automatic and about 26 dB
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py AGCONOFF 0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py AGCGAIN 20
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py AGCDESIREDLEVEL 0.08
# Turn off most audio processing
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py ECHOONOFF 0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py NLATTENONOFF 0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py NLAEC_MODE 0
# Settings when speech is detected
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py STATNOISEONOFF 0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py NONSTATNOISEONOFF 0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py GAMMA_NS 1
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py GAMMA_NN 1
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py MIN_NN 1
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py MIN_NS 1
# When speech treshold is not crossed
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py STATNOISEONOFF_SR 1
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py NONSTATNOISEONOFF_SR 1
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py GAMMA_NS_SR 1.5
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py GAMMA_NN_SR 1.5
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py MIN_NN_SR 0.0
#python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py MIN_NS_SR 0.0
# Speech recognition level
python3 /home/nerdaxic/respeakerDFU/usb_4_mic_array/tuning.py GAMMAVAD_SR 3
# Check if ran correctly
#touch /home/nerdaxic/GLaDOS/mic.sh

================================================
FILE: hardware/respeaker/ReSpeaker_Turn_off_Pixelring.py
================================================
# Turn off the blue voice-activation lights so GLaDOS does not look like a disco
# Run at startup with root crontab

import time
from pixel_ring import pixel_ring
pixel_ring.off()

================================================
FILE: hardware/teensy_4_glados_eye/Aperture.h
================================================
const unsigned char Aperture0 [] PROGMEM = {
  // 'ApertureF0, 240x240px
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
  0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 
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};

const unsigned char Aperture1 [] PROGMEM = {
  // 'ApertureF1, 240x240px
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// 'ApertureF2', 240x240px
const unsigned char Aperture2 [] PROGMEM = {
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