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spark-pocket-tts/docs/serve.md
T
teddybear082 2b51649a65 Basic changes to allow loading of local model files (#59)
-modify main,py to not hardcode using DEFAULT_VARIANT

-allow submission of path string to path of variant.yaml file saved in
custom directory in lieu of model variant identifier in CLI to use when
loading model

-addresses #57
2026-01-27 09:42:35 +01:00

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Markdown

# Serve Command Documentation
The `serve` command starts a FastAPI web server that provides both a web interface and HTTP API for text-to-speech generation.
## Basic Usage
```bash
uvx pocket-tts serve
# or if installed manually:
pocket-tts serve
```
This starts a server on `http://localhost:8000` with the default voice model.
## Command Options
- `--voice VOICE`: Path to voice prompt audio file (voice to clone) (default: "hf://kyutai/tts-voices/alba-mackenna/casual.wav")
- `--host HOST`: Host to bind to (default: "localhost")
- `--port PORT`: Port to bind to (default: 8000)
- `--reload`: Enable auto-reload for development
- `--config`: Path to a custom config .yaml
## Examples
### Basic Server
```bash
# Start with default settings
pocket-tts serve
# Custom host and port
pocket-tts serve --host "localhost" --port 8080
```
### Custom Voice
```bash
# Use different voice
pocket-tts serve --voice "hf://kyutai/tts-voices/jessica-jian/casual.wav"
# Use local voice file
pocket-tts serve --voice "./my_voice.wav"
```
### Custom Model Config
If you'd like to override the paths from which the models are loaded, you can provide a custom YAML configuration.
Copy pocket_tts/config/b6369a24.yaml and change weights_path:, weights_path_without_voice_cloning: and tokenizer_path: to the paths of the models you want to load.
Then, use the --config option to point to your newly created config.
```bash
# Use a different config
pocket-tts serve --config "C://pocket-tts/my_config.yaml"
```
## Web Interface
Once the server is running, navigate to `http://localhost:8000` to access the web interface.
For more advanced usage, see the [Python API documentation](python-api.md) for direct integration with the TTS model.