# Oremi Ohunerin MQTT
[](https://www.buymeacoffee.com/demsking)
Oremi Ohunerin MQTT is an MQTT implementation of **[Oremi Ohunerin](https://gitlab.com/demsking/oremi-ohunerin)**,
the real-time audio detection component of the **Oremi Personal Assistant**
project. It connects to the Oremi Ohunerin WebSocket server, detects
environmental sounds and wake words, and publishes the results to an MQTT
broker.
This project is designed to integrate seamlessly with home automation systems
like **Home Assistant**, IoT platforms, or any application that uses MQTT for
communication. It is available as a Docker image for both `linux/amd64` and
`linux/arm64` architectures.
## Overview
### What is Oremi Ohunerin?
[Oremi Ohunerin](https://gitlab.com/demsking/oremi-ohunerin) is the real-time
audio detection component of the **Oremi Personal Assistant** project. It
operates as a WebSocket server and is capable of identifying environmental
sounds and specific wake words to activate Oremi. It leverages cutting-edge
technologies such as:
- **Tensorflow YAMNet**: For comprehensive audio detection.
- **PocketSphinx**: For precise wake word identification.
It can recognize various sound categories, including but not limited to:
- Shouts
- Laughter
- Crying
- Snoring
- Coughing
- And more.
### What is Oremi Ohunerin MQTT?
Oremi Ohunerin MQTT bridges the gap between Oremi Ohunerin and MQTT-based
systems. It:
1. Connects to the Oremi Ohunerin WebSocket server.
2. Listens for detected sounds and wake words.
3. Publishes the results to an MQTT topic.
This allows you to integrate Oremi Ohunerin's audio detection capabilities into
your MQTT-enabled ecosystem, such as **Home Assistant**, for advanced home
automation and monitoring.
## Features
- **Real-Time Audio Detection**: Detects environmental sounds and wake words in
real time.
- **MQTT Integration**: Publishes detected sounds and wake words to an MQTT
broker.
- **Home Assistant Compatibility**: Easily integrates with Home Assistant for
automations, notifications, and dashboards.
- **Customizable Threshold**: Set a confidence score threshold for sound
detection.
- **Cooldown Period**: Avoids publishing the same sound repeatedly within a
specified delay.
- **Docker Support**: Available as a Docker image for easy deployment.
- **Cross-Platform**: Supports both `linux/amd64` and `linux/arm64`
architectures.
## Quick Start
### Prerequisites
1. **Docker**: Ensure Docker is installed on your system.
2. **MQTT Broker**: An MQTT broker (e.g., Mosquitto) must be running and
accessible.
3. **Home Assistant**: For integration and automation (optional but
recommended).
### Docker Compose Example
Here’s a quick example of how to use Oremi Ohunerin MQTT with Docker Compose:
```yaml
services:
detector:
image: demsking/oremi-ohunerin
listener:
image: demsking/oremi-ohunerin-mqtt
devices:
- /dev/snd:/dev/snd # Mount the microphone device
volumes:
- $XDG_RUNTIME_DIR/pulse/native:/var/config/pulse/native
- ~/.config/pulse/cookie:/var/config/pulse/cookie
env_file:
- .env
command: listen --host detector --mqtt-broker mqtt.eclipseprojects.io --mqtt-port 1883
```
### Explanation
- **`detector`**: The Oremi Ohunerin WebSocket server.
- **`listener`**: The Oremi Ohunerin MQTT client.
- Mounts the microphone device for audio input.
- Connects to the MQTT broker at `mqtt.eclipseprojects.io:1883`.
- Publishes detected sounds and wake words to the MQTT topic `oremi/ohunerin`.
## Command-Line Arguments
### General Usage
To see the general usage and available commands, run:
```bash
docker run -it --rm demsking/oremi-ohunerin-mqtt -h
```
Output:
```
usage: oremi-ohunerin-mqtt [-h] [-v] {listen} ...
Real-time ambient sound and wake word detection
positional arguments:
{listen}
listen Start listening
options:
-h, --help show this help message and exit
-v, --version Show the version of the application.
--list-devices List available input devices.
```
### Listen Command
To see the options for the `listen` command, run:
```bash
docker run -it --rm demsking/oremi-ohunerin-mqtt listen -h
```
Output:
```
usage: oremi-ohunerin-mqtt listen [-h] [-l LANGUAGE] [-i DEVICE_INDEX] [-d DEVICE] [-t THRESHOLD] [--delay DELAY] [--host HOST]
[-p PORT] [--cert-file CERT_FILE] --mqtt-broker MQTT_BROKER [--mqtt-port MQTT_PORT]
[--mqtt-username MQTT_USERNAME] [--mqtt-password MQTT_PASSWORD] [--mqtt-topic MQTT_TOPIC]
options:
-h, --help show this help message and exit
-l LANGUAGE, --language LANGUAGE
The language to use for wake word detection and audio processing. Default is "fr" (French).
-i DEVICE_INDEX, --device-index DEVICE_INDEX
Index of the audio device to be used for recording audio.
-d DEVICE, --device DEVICE
Name of the device.
-t THRESHOLD, --threshold THRESHOLD
The minimum confidence score required to process a sound event (default: 0.85).
--delay DELAY The cooldown period (in seconds) to wait before sending the same sound event again (default: 3).
--host HOST Host address to connect to.
-p PORT, --port PORT Port number to connect to (default: 5023).
--cert-file CERT_FILE
Path to the certificate file for secure connection.
--mqtt-broker MQTT_BROKER
The address of the MQTT broker.
--mqtt-port MQTT_PORT
The port of the MQTT broker. Default is 1883.
--mqtt-username MQTT_USERNAME
The username for authenticating with the MQTT broker. Default is None.
--mqtt-password MQTT_PASSWORD
The password for authenticating with the MQTT broker. Default is None.
--mqtt-topic MQTT_TOPIC
The MQTT topic to publish audio detection events to. Default is "oremi/ohunerin".
```
## MQTT Topics
Oremi Ohunerin MQTT publishes detected sounds and wake words to the following MQTT topics:
- **`oremi/ohunerin/sound`**: For environmental sound detection events.
- **`oremi/ohunerin/wakeword`**: For wake word detection events.
- **`oremi/ohunerin/available`**: For availability status (`online` or `offline`).
Each message is published as a JSON object with the following structure:
```json
{
"type": "sound" | "wakeword",
"sound": "detected_sound",
"score": 0.85,
"date": "2023-10-05T12:34:56Z"
}
```
## Home Assistant Integration
Oremi Ohunerin MQTT is an excellent tool for integrating real-time audio
detection into **Home Assistant**. By publishing detected sounds and wake words
to MQTT topics, you can create automations, notifications, and dashboards in
Home Assistant based on audio events.
### Example Use Case
Imagine you want to:
1. Detect when someone is snoring in a room.
2. Trigger a notification if a baby is crying.
3. Activate a wake word to start a specific automation.
With Oremi Ohunerin MQTT and Home Assistant, you can achieve this seamlessly.
### Home Assistant Configuration
Here’s an example of how to configure Home Assistant to work with Oremi Ohunerin
MQTT:
#### `configuration.yaml`
```yaml
mqtt:
sensor:
- name: "Wakeword"
unique_id: "oremi_ohunerin_wakeword"
state_topic: "oremi/ohunerin/wakeword"
enabled_by_default: true
icon: "mdi:waveform"
device_class: "enum"
options:
- detected
- 💤
value_template: >-
{% if value_json.sound == '...' %}
💤
{% else %}
detected
{% endif %}
availability: &oremi-ohunerin-availability
- topic: "oremi/ohunerin/available"
payload_available: "online"
payload_not_available: "offline"
device: &oremi-ohunerin-device
name: "Oremi Ohunerin"
manufacturer: "Sébastien Demanou"
configuration_url: "https://gitlab.com/demsking/oremi-ohunerin"
identifiers: "oremi-ohunerin-1.0.0"
sw_version: "1.0.0"
- name: "Sound Detector"
unique_id: "oremi_ohunerin_sound"
state_topic: "oremi/ohunerin/sound"
enabled_by_default: true
icon: "mdi:waveform"
device_class: "enum"
options:
- shout
- bellows
- children-shouting
- laughter
- baby-laughter
- crying-sobbing
- baby-cry-infant-cry
- whistling
- wheeze
- snoring
- cough
- sneeze
- burping
- hiccup
- 💤
value_template: >-
{% if value_json.sound == '...' %}
💤
{% else %}
{{ value_json.sound }}
{% endif %}
availability: *oremi-ohunerin-availability
device: *oremi-ohunerin-device
```
### Example Automations
#### 1. Snoring Detection
Send a notification when snoring is detected:
```yaml
automation:
- alias: "Notify on Snoring"
description: Sends a notification with advice when snoring is detected.
triggers:
- trigger: state
entity_id:
- sensor.oremi_ohunerin_snoring_detector
action:
service: notify.notify
data:
title: "Snoring Detected"
message: >
Snoring detected! Consider elevating your head while sleeping,
avoiding alcohol before bed, or trying nasal strips to improve airflow.
Consult a healthcare professional if snoring persists.
mode: single
```
#### 2. Baby Cry Alert
Send an urgent notification when a baby cry is detected:
```yaml
automation:
- alias: Notify on Baby Cry
description: Sends an urgent notification with soothing tips when a baby cry is detected.
triggers:
- trigger: state
entity_id:
- sensor.oremi_ohunerin_baby_cry_infant_cry_detector
actions:
- action: notify.notify
data:
title: "Baby Cry Detected"
message: >
Baby is crying! Check immediately. Try soothing techniques like
gentle rocking, singing, or offering a pacifier. Ensure the baby
is fed, dry, and comfortable.
mode: single
```
#### 3. Cough Detection
Send a notification with naturopathic advice when a cough is detected:
```yaml
automation:
- alias: Notify on Cough
description: Sends a notification with naturopathic advice when a cough is detected.
triggers:
- trigger: state
entity_id:
- sensor.oremi_ohunerin_cough_detector
actions:
- action: notify.notify
data:
title: "Cough Detected"
message: >
Cough detected! Consider drinking warm water with honey and lemon,
or try herbal teas like thyme or ginger to soothe your throat.
Rest and stay hydrated!
mode: single
```
#### 4. Wake Word Activation
Trigger an automation when the wake word is detected:
```yaml
automation:
- alias: Wake Word Detected
description: Triggered when the wake word is detected. Activates the Oremi Assistant script.
triggers:
- trigger: state
entity_id:
- sensor.oremi_ohunerin_wake_word
to: detected
actions:
- target:
entity_id: script.start_oremi_assistant
action: script.turn_on
data: {}
mode: single
```
### Benefits of This Integration
- **Real-Time Alerts**: Get instant notifications for specific sounds.
- **Automations**: Trigger actions based on detected sounds or wake words.
- **Dashboards**: Display sound detection states on your Home Assistant
dashboard.
- **Customizable**: Easily adapt to your specific needs by modifying the
configuration.
This integration makes Oremi Ohunerin MQTT a powerful tool for enhancing your
smart home with advanced audio detection capabilities.
## Contribute
Please follow [CONTRIBUTING.md](https://gitlab.com/demsking/oremi-ohunerin-mqtt/blob/main/CONTRIBUTING.md).
## Versioning
Given a version number `MAJOR.MINOR.PATCH`, increment the:
- `MAJOR` version when you make incompatible API changes,
- `MINOR` version when you add functionality in a backwards-compatible manner,
and
- `PATCH` version when you make backwards-compatible bug fixes.
Additional labels for pre-release and build metadata are available as extensions
to the `MAJOR.MINOR.PATCH` format.
See [SemVer.org](https://semver.org/) for more details.
## License
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License.
You may obtain a copy of the License at [LICENSE](https://gitlab.com/demsking/oremi-ohunerin-mqtt/blob/main/LICENSE).
Raw data
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"author_email": "demsking@gmail.com",
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"description": "# Oremi Ohunerin MQTT\n\n[](https://www.buymeacoffee.com/demsking)\n\nOremi Ohunerin MQTT is an MQTT implementation of **[Oremi Ohunerin](https://gitlab.com/demsking/oremi-ohunerin)**,\nthe real-time audio detection component of the **Oremi Personal Assistant**\nproject. It connects to the Oremi Ohunerin WebSocket server, detects\nenvironmental sounds and wake words, and publishes the results to an MQTT\nbroker.\n\nThis project is designed to integrate seamlessly with home automation systems\nlike **Home Assistant**, IoT platforms, or any application that uses MQTT for\ncommunication. It is available as a Docker image for both `linux/amd64` and\n`linux/arm64` architectures.\n\n## Overview\n\n### What is Oremi Ohunerin?\n\n[Oremi Ohunerin](https://gitlab.com/demsking/oremi-ohunerin) is the real-time\naudio detection component of the **Oremi Personal Assistant** project. It\noperates as a WebSocket server and is capable of identifying environmental\nsounds and specific wake words to activate Oremi. It leverages cutting-edge\ntechnologies such as:\n\n- **Tensorflow YAMNet**: For comprehensive audio detection.\n- **PocketSphinx**: For precise wake word identification.\n\nIt can recognize various sound categories, including but not limited to:\n- Shouts\n- Laughter\n- Crying\n- Snoring\n- Coughing\n- And more.\n\n### What is Oremi Ohunerin MQTT?\n\nOremi Ohunerin MQTT bridges the gap between Oremi Ohunerin and MQTT-based\nsystems. It:\n\n1. Connects to the Oremi Ohunerin WebSocket server.\n2. Listens for detected sounds and wake words.\n3. Publishes the results to an MQTT topic.\n\nThis allows you to integrate Oremi Ohunerin's audio detection capabilities into\nyour MQTT-enabled ecosystem, such as **Home Assistant**, for advanced home\nautomation and monitoring.\n\n## Features\n\n- **Real-Time Audio Detection**: Detects environmental sounds and wake words in\n real time.\n- **MQTT Integration**: Publishes detected sounds and wake words to an MQTT\n broker.\n- **Home Assistant Compatibility**: Easily integrates with Home Assistant for\n automations, notifications, and dashboards.\n- **Customizable Threshold**: Set a confidence score threshold for sound\n detection.\n- **Cooldown Period**: Avoids publishing the same sound repeatedly within a\n specified delay.\n- **Docker Support**: Available as a Docker image for easy deployment.\n- **Cross-Platform**: Supports both `linux/amd64` and `linux/arm64`\n architectures.\n\n## Quick Start\n\n### Prerequisites\n\n1. **Docker**: Ensure Docker is installed on your system.\n2. **MQTT Broker**: An MQTT broker (e.g., Mosquitto) must be running and\n accessible.\n3. **Home Assistant**: For integration and automation (optional but\n recommended).\n\n### Docker Compose Example\n\nHere\u2019s a quick example of how to use Oremi Ohunerin MQTT with Docker Compose:\n\n```yaml\nservices:\n detector:\n image: demsking/oremi-ohunerin\n\n listener:\n image: demsking/oremi-ohunerin-mqtt\n devices:\n - /dev/snd:/dev/snd # Mount the microphone device\n volumes:\n - $XDG_RUNTIME_DIR/pulse/native:/var/config/pulse/native\n - ~/.config/pulse/cookie:/var/config/pulse/cookie\n env_file:\n - .env\n command: listen --host detector --mqtt-broker mqtt.eclipseprojects.io --mqtt-port 1883\n```\n\n### Explanation\n\n- **`detector`**: The Oremi Ohunerin WebSocket server.\n- **`listener`**: The Oremi Ohunerin MQTT client.\n - Mounts the microphone device for audio input.\n - Connects to the MQTT broker at `mqtt.eclipseprojects.io:1883`.\n - Publishes detected sounds and wake words to the MQTT topic `oremi/ohunerin`.\n\n## Command-Line Arguments\n\n### General Usage\n\nTo see the general usage and available commands, run:\n\n```bash\ndocker run -it --rm demsking/oremi-ohunerin-mqtt -h\n```\n\nOutput:\n\n```\nusage: oremi-ohunerin-mqtt [-h] [-v] {listen} ...\n\nReal-time ambient sound and wake word detection\n\npositional arguments:\n {listen}\n listen Start listening\n\noptions:\n -h, --help show this help message and exit\n -v, --version Show the version of the application.\n --list-devices List available input devices.\n```\n\n### Listen Command\n\nTo see the options for the `listen` command, run:\n\n```bash\ndocker run -it --rm demsking/oremi-ohunerin-mqtt listen -h\n```\n\nOutput:\n\n```\nusage: oremi-ohunerin-mqtt listen [-h] [-l LANGUAGE] [-i DEVICE_INDEX] [-d DEVICE] [-t THRESHOLD] [--delay DELAY] [--host HOST]\n [-p PORT] [--cert-file CERT_FILE] --mqtt-broker MQTT_BROKER [--mqtt-port MQTT_PORT]\n [--mqtt-username MQTT_USERNAME] [--mqtt-password MQTT_PASSWORD] [--mqtt-topic MQTT_TOPIC]\n\noptions:\n -h, --help show this help message and exit\n -l LANGUAGE, --language LANGUAGE\n The language to use for wake word detection and audio processing. Default is \"fr\" (French).\n -i DEVICE_INDEX, --device-index DEVICE_INDEX\n Index of the audio device to be used for recording audio.\n -d DEVICE, --device DEVICE\n Name of the device.\n -t THRESHOLD, --threshold THRESHOLD\n The minimum confidence score required to process a sound event (default: 0.85).\n --delay DELAY The cooldown period (in seconds) to wait before sending the same sound event again (default: 3).\n --host HOST Host address to connect to.\n -p PORT, --port PORT Port number to connect to (default: 5023).\n --cert-file CERT_FILE\n Path to the certificate file for secure connection.\n --mqtt-broker MQTT_BROKER\n The address of the MQTT broker.\n --mqtt-port MQTT_PORT\n The port of the MQTT broker. Default is 1883.\n --mqtt-username MQTT_USERNAME\n The username for authenticating with the MQTT broker. Default is None.\n --mqtt-password MQTT_PASSWORD\n The password for authenticating with the MQTT broker. Default is None.\n --mqtt-topic MQTT_TOPIC\n The MQTT topic to publish audio detection events to. Default is \"oremi/ohunerin\".\n```\n\n## MQTT Topics\n\nOremi Ohunerin MQTT publishes detected sounds and wake words to the following MQTT topics:\n\n- **`oremi/ohunerin/sound`**: For environmental sound detection events.\n- **`oremi/ohunerin/wakeword`**: For wake word detection events.\n- **`oremi/ohunerin/available`**: For availability status (`online` or `offline`).\n\nEach message is published as a JSON object with the following structure:\n\n```json\n{\n \"type\": \"sound\" | \"wakeword\",\n \"sound\": \"detected_sound\",\n \"score\": 0.85,\n \"date\": \"2023-10-05T12:34:56Z\"\n}\n```\n\n## Home Assistant Integration\n\nOremi Ohunerin MQTT is an excellent tool for integrating real-time audio\ndetection into **Home Assistant**. By publishing detected sounds and wake words\nto MQTT topics, you can create automations, notifications, and dashboards in\nHome Assistant based on audio events.\n\n### Example Use Case\n\nImagine you want to:\n1. Detect when someone is snoring in a room.\n2. Trigger a notification if a baby is crying.\n3. Activate a wake word to start a specific automation.\n\nWith Oremi Ohunerin MQTT and Home Assistant, you can achieve this seamlessly.\n\n### Home Assistant Configuration\n\nHere\u2019s an example of how to configure Home Assistant to work with Oremi Ohunerin\nMQTT:\n\n#### `configuration.yaml`\n\n```yaml\nmqtt:\n sensor:\n - name: \"Wakeword\"\n unique_id: \"oremi_ohunerin_wakeword\"\n state_topic: \"oremi/ohunerin/wakeword\"\n enabled_by_default: true\n icon: \"mdi:waveform\"\n device_class: \"enum\"\n options:\n - detected\n - \ud83d\udca4\n value_template: >-\n {% if value_json.sound == '...' %}\n \ud83d\udca4\n {% else %}\n detected\n {% endif %}\n availability: &oremi-ohunerin-availability\n - topic: \"oremi/ohunerin/available\"\n payload_available: \"online\"\n payload_not_available: \"offline\"\n device: &oremi-ohunerin-device\n name: \"Oremi Ohunerin\"\n manufacturer: \"S\u00e9bastien Demanou\"\n configuration_url: \"https://gitlab.com/demsking/oremi-ohunerin\"\n identifiers: \"oremi-ohunerin-1.0.0\"\n sw_version: \"1.0.0\"\n\n - name: \"Sound Detector\"\n unique_id: \"oremi_ohunerin_sound\"\n state_topic: \"oremi/ohunerin/sound\"\n enabled_by_default: true\n icon: \"mdi:waveform\"\n device_class: \"enum\"\n options:\n - shout\n - bellows\n - children-shouting\n - laughter\n - baby-laughter\n - crying-sobbing\n - baby-cry-infant-cry\n - whistling\n - wheeze\n - snoring\n - cough\n - sneeze\n - burping\n - hiccup\n - \ud83d\udca4\n value_template: >-\n {% if value_json.sound == '...' %}\n \ud83d\udca4\n {% else %}\n {{ value_json.sound }}\n {% endif %}\n availability: *oremi-ohunerin-availability\n device: *oremi-ohunerin-device\n```\n\n### Example Automations\n\n#### 1. Snoring Detection\n\nSend a notification when snoring is detected:\n\n```yaml\nautomation:\n - alias: \"Notify on Snoring\"\n description: Sends a notification with advice when snoring is detected.\n triggers:\n - trigger: state\n entity_id:\n - sensor.oremi_ohunerin_snoring_detector\n action:\n service: notify.notify\n data:\n title: \"Snoring Detected\"\n message: >\n Snoring detected! Consider elevating your head while sleeping,\n avoiding alcohol before bed, or trying nasal strips to improve airflow.\n Consult a healthcare professional if snoring persists.\n mode: single\n```\n\n#### 2. Baby Cry Alert\n\nSend an urgent notification when a baby cry is detected:\n\n```yaml\nautomation:\n - alias: Notify on Baby Cry\n description: Sends an urgent notification with soothing tips when a baby cry is detected.\n triggers:\n - trigger: state\n entity_id:\n - sensor.oremi_ohunerin_baby_cry_infant_cry_detector\n actions:\n - action: notify.notify\n data:\n title: \"Baby Cry Detected\"\n message: >\n Baby is crying! Check immediately. Try soothing techniques like\n gentle rocking, singing, or offering a pacifier. Ensure the baby\n is fed, dry, and comfortable.\n mode: single\n```\n\n#### 3. Cough Detection\n\nSend a notification with naturopathic advice when a cough is detected:\n\n```yaml\nautomation:\n - alias: Notify on Cough\n description: Sends a notification with naturopathic advice when a cough is detected.\n triggers:\n - trigger: state\n entity_id:\n - sensor.oremi_ohunerin_cough_detector\n actions:\n - action: notify.notify\n data:\n title: \"Cough Detected\"\n message: >\n Cough detected! Consider drinking warm water with honey and lemon,\n or try herbal teas like thyme or ginger to soothe your throat.\n Rest and stay hydrated!\n mode: single\n```\n\n#### 4. Wake Word Activation\n\nTrigger an automation when the wake word is detected:\n\n```yaml\nautomation:\n - alias: Wake Word Detected\n description: Triggered when the wake word is detected. Activates the Oremi Assistant script.\n triggers:\n - trigger: state\n entity_id:\n - sensor.oremi_ohunerin_wake_word\n to: detected\n actions:\n - target:\n entity_id: script.start_oremi_assistant\n action: script.turn_on\n data: {}\n mode: single\n```\n\n### Benefits of This Integration\n\n- **Real-Time Alerts**: Get instant notifications for specific sounds.\n- **Automations**: Trigger actions based on detected sounds or wake words.\n- **Dashboards**: Display sound detection states on your Home Assistant\n dashboard.\n- **Customizable**: Easily adapt to your specific needs by modifying the\n configuration.\n\nThis integration makes Oremi Ohunerin MQTT a powerful tool for enhancing your\nsmart home with advanced audio detection capabilities.\n\n## Contribute\n\nPlease follow [CONTRIBUTING.md](https://gitlab.com/demsking/oremi-ohunerin-mqtt/blob/main/CONTRIBUTING.md).\n\n## Versioning\n\nGiven a version number `MAJOR.MINOR.PATCH`, increment the:\n\n- `MAJOR` version when you make incompatible API changes,\n- `MINOR` version when you add functionality in a backwards-compatible manner,\n and\n- `PATCH` version when you make backwards-compatible bug fixes.\n\nAdditional labels for pre-release and build metadata are available as extensions\nto the `MAJOR.MINOR.PATCH` format.\n\nSee [SemVer.org](https://semver.org/) for more details.\n\n## License\n\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use\nthis file except in compliance with the License.\nYou may obtain a copy of the License at [LICENSE](https://gitlab.com/demsking/oremi-ohunerin-mqtt/blob/main/LICENSE).\n\n",
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"license": "Apache-2.0",
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