Automated Docs Site (#101)

This commit is contained in:
Sachin Sankar
2026-02-12 14:01:42 +01:00
committed by GitHub
parent ef56ab4972
commit 4ae9fb2590
12 changed files with 704 additions and 42 deletions
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name: Deploy Documentation
on:
release:
types: [published]
workflow_dispatch:
permissions:
contents: write
jobs:
deploy-docs:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.x"
cache: "pip"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install mkdocs mkdocs-autolinks-plugin mkdocs-material mkdocstrings-python
- name: Build and Deploy
run: |
mkdocs gh-deploy --force
@@ -0,0 +1 @@
::: pocket_tts.models.tts_model.TTSModel
@@ -1,4 +1,4 @@
# Export Voice Command Documentation
# Export Voice
Kyutai Pocket TTS allows you to generate speech from an audio sample. However, processing an audio file each time is relatively slow and inefficient.
@@ -1,4 +1,4 @@
# Generate Command Documentation
# Generate
The `generate` command allows you to generate speech from text directly from the command line using Kyutai Pocket TTS.
@@ -62,7 +62,6 @@ pocket-tts generate --voice "./my_voice.wav"
pocket-tts generate --voice "./my_voice.safetensors"
```
### Quality Tuning
```bash
@@ -78,9 +77,9 @@ pocket-tts generate --eos-threshold -3.0
### Custom Model Config
If you'd like to override the paths from which the models are loaded, you can provide a custom YAML configuration.
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.
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.
@@ -92,6 +91,7 @@ pocket-tts generate --config "C://pocket-tts/my_config.yaml"
## Output Format
The generate command always outputs WAV files in the following format:
- **Sample Rate**: 24kHz
- **Channels**: Mono
- **Bit Depth**: 16-bit PCM
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@@ -1,4 +1,4 @@
# Serve Command Documentation
# Serve
The `serve` command starts a FastAPI web server that provides both a web interface and HTTP API for text-to-speech generation.
@@ -41,10 +41,12 @@ 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.
### 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.
@@ -57,4 +59,5 @@ pocket-tts serve --config "C://pocket-tts/my_config.yaml"
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.
For more advanced usage, see the [Python API documentation](python-api.md) for direct integration with the TTS model.
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# Pocket TTS
<img width="1446" height="622" alt="pocket-tts-logo-v2-transparent" src="https://github.com/user-attachments/assets/637b5ed6-831f-4023-9b4c-741be21ab238" />
A lightweight text-to-speech (TTS) application designed to run efficiently on CPUs.
Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS, generating audio is just a pip install and a function call away.
Supports Python 3.10, 3.11, 3.12, 3.13 and 3.14. Requires PyTorch 2.5+. Does not require the gpu version of PyTorch.
[🔊 Demo](https://kyutai.org/pocket-tts) |
[🐱‍💻GitHub Repository](https://github.com/kyutai-labs/pocket-tts) |
[🤗 Hugging Face Model Card](https://huggingface.co/kyutai/pocket-tts) |
[⚙️ Tech report](https://kyutai.org/blog/2026-01-13-pocket-tts) |
[📄 Paper](https://arxiv.org/abs/2509.06926) |
[📚 Documentation](https://github.com/kyutai-labs/pocket-tts/tree/main/docs)
## Main takeaways
- Runs on CPU
- Small model size, 100M parameters
- Audio streaming
- Low latency, ~200ms to get the first audio chunk
- Faster than real-time, ~6x real-time on a CPU of MacBook Air M4
- Uses only 2 CPU cores
- Python API and CLI
- Voice cloning
- English only at the moment
- Can handle infinitely long text inputs
- [Can run on client-side in the browser](#in-browser-implementations)
## Trying it from the website, without installing anything
Navigate to the [Kyutai website](https://kyutai.org/pocket-tts) to try it out directly in your browser. You can input text, select different voices, and generate speech without any installation.
## Trying it with the CLI
### The `generate` command
You can use pocket-tts directly from the command line. We recommend using
`uv` as it installs any dependencies on the fly in an isolated environment (uv installation instructions [here](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer)).
You can also use `pip install pocket-tts` to install it manually.
This will generate a wav file `./tts_output.wav` saying the default text with the default voice, and display some speed statistics.
```bash
uvx pocket-tts generate
# or if you installed it manually with pip:
pocket-tts generate
```
Modify the voice with `--voice` and the text with `--text`. We provide a small catalog of voices.
You can take a look at [this page](https://huggingface.co/kyutai/tts-voices) which details the licenses
for each voice.
- [alba](https://huggingface.co/kyutai/tts-voices/blob/main/alba-mackenna/casual.wav)
- [marius](https://huggingface.co/kyutai/tts-voices/blob/main/voice-donations/Selfie.wav)
- [javert](https://huggingface.co/kyutai/tts-voices/blob/main/voice-donations/Butter.wav)
- [jean](https://huggingface.co/kyutai/tts-voices/blob/main/ears/p010/freeform_speech_01.wav)
- [fantine](https://huggingface.co/kyutai/tts-voices/blob/main/vctk/p244_023.wav)
- [cosette](https://huggingface.co/kyutai/tts-voices/blob/main/expresso/ex04-ex02_confused_001_channel1_499s.wav)
- [eponine](https://huggingface.co/kyutai/tts-voices/blob/main/vctk/p262_023.wav)
- [azelma](https://huggingface.co/kyutai/tts-voices/blob/main/vctk/p303_023.wav)
The `--voice` argument can also take a plain wav file as input for voice cloning.
You can use your own or check out our [voice repository](https://huggingface.co/kyutai/tts-voices).
We recommend [cleaning the sample](https://podcast.adobe.com/en/enhance) before using it with Pocket TTS, because the audio quality of the sample is also reproduced.
Feel free to check out the [generate documentation](generate.md) for more details and examples.
For trying multiple voices and prompts quickly, prefer using the `serve` command.
### The `serve` command
You can also run a local server to generate audio via HTTP requests.
```bash
uvx pocket-tts serve
# or if you installed it manually with pip:
pocket-tts serve
```
Navigate to `http://localhost:8000` to try the web interface, it's faster than the command line as the model is kept in memory between requests.
You can check out the [serve documentation](serve.md) for more details and examples.
### The `export-voice` command
Processing an audio file (e.g., a .wav or .mp3) for voice cloning is relatively slow, but loading a safetensors file -- a voice embedding converted from an audio file -- is very fast. You can use the `export-voice` command to do this conversion. See the [export-voice documentation](export_voice.md) for more details and examples.
## Using it as a Python library
You can try out the Python library on Colab [here](https://colab.research.google.com/github/kyutai-labs/pocket-tts/blob/main/docs/pocket-tts-example.ipynb).
Install the package with
```bash
pip install pocket-tts
# or
uv add pocket-tts
```
You can use this package as a simple Python library to generate audio from text.
```python
from pocket_tts import TTSModel
import scipy.io.wavfile
tts_model = TTSModel.load_model()
voice_state = tts_model.get_state_for_audio_prompt(
"alba" # One of the pre-made voices, see above
# You can also use any voice file you have locally or from Hugging Face:
# "./some_audio.wav"
# or "hf://kyutai/tts-voices/expresso/ex01-ex02_default_001_channel2_198s.wav"
)
audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.")
# Audio is a 1D torch tensor containing PCM data.
scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
```
You can have multiple voice states around if
you have multiple voices you want to use. `load_model()`
and `get_state_for_audio_prompt()` are relatively slow operations,
so we recommend to keep the model and voice states in memory if you can.
You can check out the [Python API documentation](https://github.com/kyutai-labs/pocket-tts/tree/main/docs/python-api.md) for more details and examples.
## Unsupported features
At the moment, we do not support (but would love pull requests adding):
- [Running the TTS inside a web browser (WebAssembly)](https://github.com/kyutai-labs/pocket-tts/issues/1)
- [A compiled version with for example `torch.compile()` or `candle`.](https://github.com/kyutai-labs/pocket-tts/issues/2)
- [Adding silence in the text input to generate pauses.](https://github.com/kyutai-labs/pocket-tts/issues/6)
- [Quantization to run the computation in int8.](https://github.com/kyutai-labs/pocket-tts/issues/7)
We tried running this TTS model on the GPU but did not observe a speedup compared to CPU execution,
notably because we use a batch size of 1 and a very small model.
## Development and local setup
We accept contributions! Feel free to open issues or pull requests on GitHub.
You can find development instructions in the [CONTRIBUTING.md](https://github.com/kyutai-labs/pocket-tts/tree/main/CONTRIBUTING.md) file. You'll also find there how to have an editable install of the package for local development.
## In-browser implementations
Pocket TTS is small enough to run directly in your browser in WebAssembly/JavaScript.
We don't have official support for this yet, but you can try out one of these community implementations:
- [babybirdprd/pocket-tts](https://github.com/babybirdprd/pocket-tts): Candle version (Rust) with WebAssembly and PyO3 bindings, meaning it can run on the web too.
- [ekzhang/jax-js](https://github.com/ekzhang/jax-js/tree/main/website/src/routes/tts): Using jax-js, a ML library for the web. Demo [here](https://jax-js.com/tts)
- [KevinAHM/pocket-tts-onnx-export](https://github.com/KevinAHM/pocket-tts-onnx-export): Model exported to .onnx and run using [ONNX Runtime Web](https://onnxruntime.ai/docs/tutorials/web/). Demo [here](https://huggingface.co/spaces/KevinAHM/pocket-tts-web)
## Alterative implementations
- [jishnuvenugopal/pocket-tts-mlx](https://github.com/jishnuvenugopal/pocket-tts-mlx) - MLX backend optimized for Apple Silicon
- [babybirdprd/pocket-tts](https://github.com/babybirdprd/pocket-tts) - Candle version (Rust) with WebAssembly and PyO3 bindings.
## Projects using Pocket TTS
- [lukasmwerner/pocket-reader](https://github.com/lukasmwerner/pocket-reader) - Browser screen reader
- [ikidd/pocket-tts-wyoming](https://github.com/ikidd/pocket-tts-wyoming) - Docker container for pocket-tts using Wyoming protocol, ready for Home Assistant Voice use.
- [slaughters85j/pocket-tts](https://github.com/slaughters85j/pocket-tts) - Mac Desktop App + macOS Quick Action
- [teddybear082/pocket-tts-openai_streaming_server](https://github.com/teddybear082/pocket-tts-openai_streaming_server) - OpenAI-compatible streaming server, dockerized and with an `.exe` release
## Prohibited use
Use of our model must comply with all applicable laws and regulations and must not result in, involve, or facilitate any illegal, harmful, deceptive, fraudulent, or unauthorized activity. Prohibited uses include, without limitation, voice impersonation or cloning without explicit and lawful consent; misinformation, disinformation, or deception (including fake news, fraudulent calls, or presenting generated content as genuine recordings of real people or events); and the generation of unlawful, harmful, libelous, abusive, harassing, discriminatory, hateful, or privacy-invasive content. We disclaim all liability for any non-compliant use.
## Authors
Manu Orsini*, Simon Rouard*, Gabriel De Marmiesse\*, Václav Volhejn, Neil Zeghidour, Alexandre Défossez
\*equal contribution
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site_name: Pocket TTS
repo_url: https://github.com/kyutai-labs/pocket-tts
repo_name: kyutai-labs/pocket-tts
extra:
generator: false
plugins:
- search
- autolinks
- mkdocstrings:
handlers:
python:
options:
heading_level: 1
show_root_heading: true
type_parameter_headings: true
show_symbol_type_heading: true
show_symbol_type_toc: true
theme:
name: material
logo: mascot.png
icon:
repo: fontawesome/brands/github
features:
- navigation.tabs
- navigation.tabs.sticky
- navigation.sections
- navigation.footer
- content.code.copy
- content.code.select
palette:
# Palette toggle for automatic mode
- media: "(prefers-color-scheme)"
toggle:
icon: material/brightness-auto
name: Switch to light mode
# Palette toggle for light mode
- media: "(prefers-color-scheme: light)"
scheme: default
toggle:
icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
toggle:
icon: material/brightness-4
name: Switch to system preference
markdown_extensions:
- pymdownx.highlight:
anchor_linenums: true
line_spans: __span
pygments_lang_class: true
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.superfences
- admonition
- pymdownx.details
docs_dir: docs-src
site_dir: docs
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@@ -212,6 +212,17 @@ class TTSModel(nn.Module):
FileNotFoundError: If the specified config file or model weights
are not found.
ValueError: If the configuration is invalid or incompatible.
Example:
```python
from pocket_tts import TTSModel
# Load with default settings
model = TTSModel.load_model()
# Load with custom parameters
model = TTSModel.load_model(variant="b6369a24", temp=0.5, lsd_decode_steps=5, eos_threshold=-3.0)
```
"""
if str(config).endswith(".yaml"):
config_path = Path(config)
@@ -405,6 +416,21 @@ class TTSModel(nn.Module):
Raises:
ValueError: If text_to_generate is empty or invalid.
RuntimeError: If generation fails due to model errors.
Example:
```python
from pocket_tts import TTSModel
model = TTSModel.load_model()
voice_state = model.get_state_for_audio_prompt("hf://kyutai/tts-voices/alba-mackenna/casual.wav")
# Generate audio
audio = model.generate_audio(voice_state, "Hello world!", frames_after_eos=2, copy_state=True)
print(f"Generated audio shape: {audio.shape}")
print(f"Audio duration: {audio.shape[-1] / model.sample_rate:.2f} seconds")
```
"""
audio_chunks = []
for chunk in self.generate_audio_stream(
@@ -457,6 +483,20 @@ class TTSModel(nn.Module):
ValueError: If text_to_generate is empty or invalid.
RuntimeError: If generation fails due to model errors or threading issues.
Example:
```python
from pocket_tts import TTSModel
model = TTSModel.load_model()
voice_state = model.get_state_for_audio_prompt("hf://kyutai/tts-voices/alba-mackenna/casual.wav")
# Stream generation
for chunk in model.generate_audio_stream(voice_state, "Long text content..."):
# Process each chunk as it's generated
print(f"Generated chunk: {chunk.shape[0]} samples")
# Could save chunks to file or play in real-time
```
Note:
This method uses multithreading to parallelize latent generation
and audio decoding. Generation performance is logged including
@@ -660,6 +700,27 @@ class TTSModel(nn.Module):
ValueError: If audio tensor is invalid or empty.
RuntimeError: If audio processing or encoding fails.
Example:
```python
from pocket_tts import TTSModel
model = TTSModel.load_model()
# From HuggingFace URL
voice_state = model.get_state_for_audio_prompt("hf://kyutai/tts-voices/alba-mackenna/casual.wav")
# From local file
voice_state = model.get_state_for_audio_prompt("./my_voice.wav")
# Reload state from a .safetensors file (much faster than extracting from an audio file)
voice_state = model.get_state_for_audio_prompt("./my_voices.safetensors")
# From HTTP URL
voice_state = model.get_state_for_audio_prompt(
"https://huggingface.co/kyutai/tts-voices/resolve"
"/main/expresso/ex01-ex02_default_001_channel1_168s.wav"
)
```
Note:
- Audio is automatically resampled to the model's sample rate (24kHz)
- The audio is encoded using the Mimi compression model and projected
@@ -748,6 +809,23 @@ class TTSModel(nn.Module):
ValueError: If audio tensor export path is invalid or empty.
RuntimeError: If audio processing or encoding fails.
Example:
```python
from pocket_tts import TTSModel
model = TTSModel.load_model()
# From HuggingFace URL
model.get_state_for_audio_prompt(
"hf://kyutai/tts-voices/alba-mackenna/casual.wav", "casual.safetensors"
)
# From local file (the .safetensors extension will be added automatically)
tensor = model.get_state_for_audio_prompt("./my_voice.wav", "my_voice")
# Use the tensor, Luke!
audio = model.generate_audio(tensor, "Hello world!")
```
Note:
- Send resulting audio tensor to get_state_for_audio_prompt
in order to get the model state for generation.
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@@ -31,6 +31,10 @@ audio = ["soundfile>=0.12.0"]
dev = [
"coverage>=7.6.12",
"line-profiler>=5.0.0",
"mkdocs>=1.6.1",
"mkdocs-autolinks-plugin>=0.7.1",
"mkdocs-material>=9.7.1",
"mkdocstrings-python>=2.0.1",
"pytest>=9.0.2",
"pytest-xdist>=3.8.0",
]
@@ -71,4 +75,4 @@ pocket-tts = "pocket_tts.main:cli_app"
python-preference = "only-managed"
[tool.ruff.lint.flake8-tidy-imports]
ban-relative-imports = "all"
ban-relative-imports = "all"
Generated
+336 -31
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