Jarvis UI to perform voice commands via API calls
Project description
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 atunneled
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 toTrue
, the response is generated in the server's default voice - WAKE_WORDS: Defaults to
jarvis
(Defaults toalexa
in macOS older than10.14
) - 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.
:bulb: 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
python -m pip install 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
Project details
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