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Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install guoqiao/mlx-ttsExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Text-To-Speech with MLX (Apple Silicon) and open-source models (default QWen3-TTS) locally.
Free and Fast. No API key required. No server required.
mlx: macOS with Apple Siliconbrew: used to install deps if not availablebash ${baseDir}/install.sh
This script will use brew to install these CLI tools if not available:
uv: install python package and run python scriptmlx_audio: do the real jobTo generate audio from text, run this script:
bash ${baseDir}/mlx-tts.sh "<text>"
message tool to send the audio file to the user as an voice message:{
"action": "send",
"filePath": "<filepath>"
}
Example: User: "Say hello world" Agent:
bash path/to/mlx-tts.sh "hello world"
/tmp/folder/audio.ogg
message(action="send", filePath="/tmp/folder/audio.ogg", ...)
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# MLX TTS
Text-To-Speech with MLX (Apple Silicon) and open-source models (default QWen3-TTS) locally.
Free and Fast. No API key required. No server required.
## Requirements
- `mlx`: macOS with Apple Silicon
- `brew`: used to install deps if not available
## Installation
```bash
bash ${baseDir}/install.sh
```
This script will use `brew` to install these CLI tools if not available:
- `uv`: install python package and run python script
- `mlx_audio`: do the real job
## Usage
To generate audio from text, run this script:
```bash
bash ${baseDir}/mlx-tts.sh "<text>"
```
### Agent Instructions
1. **Run the script**: Pass the text to be spoken as an argument.
2. **Handle Output**: The script will output a path to a audio file.
Use the `message` tool to send the audio file to the user as an voice message:
```json
{
"action": "send",
"filePath": "<filepath>"
}
```
Example:
User: "Say hello world"
Agent:
1. Runs `bash path/to/mlx-tts.sh "hello world"`
2. Receives output: `/tmp/folder/audio.ogg`
3. Calls `message(action="send", filePath="/tmp/folder/audio.ogg", ...)`Task Router
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