The french 6 layers variant wasn't included because it's not good enough yet. Use the `french_24l` variant for now.
59 lines
2.1 KiB
Markdown
59 lines
2.1 KiB
Markdown
# Serve
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The `serve` command starts a FastAPI web server that provides both a web interface and HTTP API for text-to-speech generation.
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## Basic Usage
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```bash
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uvx pocket-tts serve
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# or if installed manually:
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pocket-tts serve
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```
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This starts a server on `http://localhost:8000` with the default voice model.
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## Command Options
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- `--host HOST`: Host to bind to (default: "localhost")
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- `--port PORT`: Port to bind to (default: 8000)
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- `--reload`: Enable auto-reload for development
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- `--language`: Language for the TTS model, one of `'english_2026-01'`, `'english_2026-04'`, `'english'`, `'french_24l'`, `'german_24l'`, `'portuguese_24l'`, `'italian_24l'`, `'spanish_24l'` (default: `english`, which is the same model as `'english_2026-04'`). Incompatible with `--config`. The "24l" variants are bigger models, not distilled yet and here only as preview.
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- `--config`: Path to a custom config .yaml. Incompatible with `--language`.
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- `--quantize`: Use int8 quantization for the model (default: False). This can reduce memory usage and increase speed, with minimal impact on audio quality.
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## Examples
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### Basic Server
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```bash
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# Start with default settings
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pocket-tts serve
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# Custom host and port
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pocket-tts serve --host "localhost" --port 8080
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```
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### Custom Language
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To select the default language model, pass `--language`:
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```bash
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pocket-tts serve --language french_24l
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```
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### Custom Model Config
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If you'd like to override the paths from which the models are loaded, you can provide a custom YAML configuration.
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Copy one of the files in `pocket_tts/config` (for example `pocket_tts/config/english.yaml`) and change `weights_path`, `weights_path_without_voice_cloning:`, and `tokenizer_path:` to the paths of the models you want to load.
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Then, use the --config option to point to your newly created config.
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```bash
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# Use a different config
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pocket-tts serve --config "C://pocket-tts/my_config.yaml"
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```
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## Web Interface
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Once the server is running, navigate to `http://localhost:8000` to access the web interface.
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For more advanced usage, see the [Python API documentation](python-api.md) for direct integration with the TTS model.
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