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https://github.com/gpustack/vox-box

A text-to-speech and speech-to-text server compatible with the OpenAI API, supporting Whisper, FunASR, Bark, and CosyVoice backends.
https://github.com/gpustack/vox-box

asr audio-processing openai-compatible-api python speech-to-text stt text-to-speech tts

Last synced: 23 days ago
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A text-to-speech and speech-to-text server compatible with the OpenAI API, supporting Whisper, FunASR, Bark, and CosyVoice backends.

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README

        

# Vox Box

A text-to-speech and speech-to-text server compatible with the OpenAI API, powered by backend support from Whisper, FunASR, Bark, and CosyVoice.

## Requirements

- Python 3.10 or greater
- Support Nvidia GPU, requires the following NVIDIA libraries to be installed:
- [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas)
- [cuDNN 9 for CUDA 12](https://developer.nvidia.com/cudnn)

## Installation

You can install the project using pip:

```bash
pip install vox-box

# For MacOS, you need to manually install `openfst`, `pynini`, and `wetextprocessing` after installing `vox-box` to make `cosyvoice` work:
brew install openfst
export CPLUS_INCLUDE_PATH=$(brew --prefix openfst)/include
export LIBRARY_PATH=$(brew --prefix openfst)/lib
pip install pynini==2.1.6
pip install wetextprocessing==1.0.4.1
```

## Usage

```
vox-box start --model --huggingface-repo-id Systran/faster-whisper-small --data-dir ./cache/data-dir --host 0.0.0.0 --port 80
```

### Options
- -d, --debug: Enable debug mode.
- --host: Host to bind the server to. Default is 0.0.0.0.
- --port: Port to bind the server to. Default is 80.
- --model: model path.
- --device: Binding device, e.g., cuda:0. Default is cpu.
- --huggingface-repo-id: Huggingface repo id for the model.
- --model-scope-model-id: Model scope model id for the model.
- --data-dir: Directory to store downloaded model data. Default is OS specific.

## Supported Models

| Model | Type | Link |
| ------------------------------- | -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Faster-whisper-large-v3 | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-large-v3), [ModelScope](https://www.modelscope.cn/models/iic/Whisper-large-v3) |
| Faster-whisper-large-v2 | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-large-v2) |
| Faster-whisper-large-v1 | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-large-v1) |
| Whisper-large-v3-turbo | speech-to-text | [ModelScope](https://www.modelscope.cn/models/iic/Whisper-large-v3-turbo) |
| Faster-whisper-medium | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-medium) |
| Faster-whisper-medium.en | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-medium.en) |
| Faster-whisper-small | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-small) |
| Faster-whisper-small.en | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-small.en) |
| Faster-distil-whisper-large-v3 | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-distil-whisper-large-v3) |
| Faster-distil-whisper-large-v2 | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-distil-whisper-large-v2) |
| Faster-distil-whisper-medium.en | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-distil-whisper-medium.en) |
| Faster-whisper-tiny | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-tiny) |
| Faster-whisper-tiny.en | speech-to-text | [Hugging Face](https://huggingface.co/Systran/faster-whisper-tiny.en) |
| Paraformer-zh | speech-to-text | [Hugging Face](https://huggingface.co/funasr/paraformer-zh), [ModelScope](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch) |
| Paraformer-zh-streaming | speech-to-text | [Hugging Face](https://huggingface.co/funasr/paraformer-zh-streaming), [ModelScope](https://modelscope.cn/models/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online) |
| Paraformer-en | speech-to-text | [Hugging Face](https://huggingface.co/funasr/paraformer-en), [ModelScope](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020) |
| Conformer-en | speech-to-text | [Hugging Face](https://huggingface.co/funasr/conformer-en), [Modelscope](https://modelscope.cn/models/iic/speech_conformer_asr-en-16k-vocab4199-pytorch) |
| SenseVoiceSmall | speech-to-text | [Hugging Face](https://huggingface.co/FunAudioLLM/SenseVoiceSmall), [ModelScope](https://www.modelscope.cn/models/iic/SenseVoiceSmall) |
| Bark | text-to-speech | [Hugging Face](https://huggingface.co/suno/bark) |
| Bark-small | text-to-speech | [Hugging Face](https://huggingface.co/suno/bark-small) |
| CosyVoice-300M-Instruct | text-to-speech | [Hugging Face](https://huggingface.co/FunAudioLLM/CosyVoice-300M-Instruct), [ModelScope](https://modelscope.cn/models/iic/CosyVoice-300M-Instruct) |
| CosyVoice-300M-SFT | text-to-speech | [Hugging Face](https://huggingface.co/FunAudioLLM/CosyVoice-300M-SFT), [ModelScope](https://modelscope.cn/models/iic/CosyVoice-300M-SFT) |
| CosyVoice-300M | text-to-speech | [Hugging Face](https://huggingface.co/FunAudioLLM/CosyVoice-300M), [ModelScope](https://modelscope.cn/models/iic/CosyVoice-300M) |
| CosyVoice-300M-25Hz | text-to-speech | [ModelScope](https://modelscope.cn/models/iic/CosyVoice-300M-25Hz) |

## Supported APIs

### Create speech

**Endpoint**: `POST /v1/audio/speech`

Generates audio from the input text. Compatible with the [OpenAI audio/speech API](https://platform.openai.com/docs/api-reference/audio/createSpeech).

**Example Request**:
```bash
curl http://localhost/v1/audio/speech \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "cosyvoice",
"input": "Hello world",
"voice": "English Female"
}' \
--output speech.mp3
```

**Response**:
The audio file content.

### Create transcription

**Endpoint**: `POST /v1/audio/transcriptions`

Transcribes audio into the input language. Compatible with the [OpenAI audio/transcription API](https://platform.openai.com/docs/api-reference/audio/createTranscription).

**Example Request**:
```bash
curl https://localhost/v1/audio/transcriptions \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: multipart/form-data" \
-F file="@/path/to/file/audio.mp3" \
-F model="whisper-large-v3"
```

**Response**:
```json
{
"text": "Hello world."
}
```

### List Models

**Endpoint**: `GET /v1/models`

Returns the current running models.

### Get Model

**Endpoint**: `GET /v1/models/{model_id}`

Returns the current running model.

### Get Voices

**Endpoint**: `GET /v1/voices`

Returns the supported voice for current running model.

### Health Check

**Endpoint**: `GET /health`

Returns the heath check result of the Vox Box.