Deployments

Jarvis UI

Connects to Jarvis running in the backend to process request and response via API calls.

Kick off

Install

python -m pip install jarvis-ui

Initiate

import jarvis_ui


if __name__ == '__main__':
    jarvis_ui.start()

Environment Variables

Env vars are loaded from a .env file and validated using pydantic

To use custom .env files

To use a custom .env file, set the filename to the env var env_file before importing jarvis_ui module.

import os
os.environ['env_file'] = "jarvis_ui.env"

import jarvis_ui

if __name__ == '__main__':
    jarvis_ui.start()

Mandatory

• SERVER_URL: Endpoint URL to which the API call has to be made. Can be localhost or a tunneled URL behind a reverse proxy/CDN.
• TOKEN: Authentication token.

Optional

• HEART_BEAT: Defaults to None - Interval in seconds to trigger background healthcheck on the server with automatic restart
• DEBUG: Defaults to False - Enable debug level logging
  
  
• SPEECH_TIMEOUT: Defaults to 0 for macOS, 10 for Windows - Timeout for speech synthesis
  
  
• NATIVE_AUDIO: Defaults to False - If set to True, the response is generated in the server's default voice
• WAKE_WORDS: Defaults to jarvis (Defaults to alexa in macOS older than 10.14) - Wake words to initiate Jarvis
• SENSITIVITY: Defaults to 0.5 - Sensitivity of wake word detection
  
  
• MICROPHONE_INDEX: Defaults to None - Use peripherals.py to get the index values
• VOICE_NAME: Defaults to the author's favorite per the OS. Name of the voice supported by the OperatingSystem
• VOICE_RATE: Defaults to the value in py3-tts module - Speed/rate at which the text should be spoken
• VOICE_PITCH: Defaults to the value in py3-tts module - Currently available only for Linux OS
  
  
• LISTENER_TIMEOUT: Defaults to 2 - Timeout for listener once wake word is detected - Awaits for a speech to begin until this limit
• LISTENER_PHRASE_LIMIT: Defaults to 5 - Timeout for phrase once listener is activated - Listener will be deactivated after this limit
• RECOGNIZER_SETTINGS: JSON object of customized speech recognition settings.

Custom settings for speech recognition

The default values for RECOGNIZER_SETTINGS are customized according to the author's voice pitch. Please use test_listener.py to figure out the suitable values in a trial and error method.

Sample settings (formatted as JSON object)

RECOGNIZER_SETTINGS: '{"energy_threshold": 1100, "dynamic_energy_threshold": false, "pause_threshold": 1, "phrase_threshold": 0.1}'

Description

• energy_threshold: Minimum audio energy to consider for recording. Greater the value, louder the voice should be.
• dynamic_energy_threshold: Change considerable audio energy_threshold dynamically.
• pause_threshold: Seconds of non-speaking audio before a phrase is considered complete.
• phrase_threshold: Minimum seconds of speaking audio before it can be considered a phrase - values below this are ignored. This helps to filter out clicks and pops.
• non_speaking_duration: Seconds of non-speaking audio to keep on both sides of the recording.

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💡   Refer Jarvis' README for more information on setting up the backend server.

Coding Standards

Docstring format: Google
Styling conventions: PEP 8
Clean code with pre-commit hooks: flake8 and isort

Release Notes

Requirement

python -m pip install gitverse

Usage

gitverse-release reverse -f release_notes.rst -t 'Release Notes'

Linting

PreCommit will ensure linting, and the doc creation are run on every commit.

Requirement

pip install --no-cache sphinx==5.1.1 pre-commit recommonmark

Usage

pre-commit run --all-files

Pypi Package

https://pypi.org/project/jarvis-ui/

Runbook

https://thevickypedia.github.io/Jarvis_UI/

License & copyright

© Vignesh Rao

Licensed under the MIT License