semvec/pypi-packages huggingface dataset:
GPT-SoVITS-Infer 0.2.8
Inference code for GPT-SoVITS
License: MIT
Requires Python: <3.12,>=3.10

# GPT-SoVITS-Infer

This is the inference code of [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) that can be developer-friendly.

## Usage Example

Check out the [example](example.ipynb) notebook for a quick start. Or open it in [Colab](https://colab.research.google.com/github/BeautyyuYanli/GPT-SoVITS-Infer/blob/main/example.ipynb)

## Prepare the environment

As we all know, the dependencies of an AI project are always a mess. Here is how I prepare the environment for this project:

<details><summary>Conda (Linux)</summary>

```
conda install python=3.10
conda install pytorch=2.1 torchvision torchaudio pytorch-lightning pytorch-cuda=12.1 -c pytorch -c nvidia 
conda install ffmpeg=6.1.1 -c conda-forge
```

</details>

<details><summary>MacOS</summary>

```
brew install ffmpeg
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
pip3 install pytorch-lightning
pip3 install GPT-SoVITS-Infer
```
</details>

You can also try to prepare the environment with cpu only options, which should work, but I have not tested it yet.

After the environment is ready, you can install the package by pip:

```
pip install GPT-SoVITS
```

I do not add the packages related to torch to the dependencies of GPT-SoVITS-Infer. Check if the environment is ready if things go wrong.

## Advanced Usage

- `GPTSoVITSInference.load_sovits` and `GPTSoVITSInference.load_gpt`: You can load your own fine-tuned model by the methods.
- `GPTSoVITSInference.set_prompt_audio`: Set the prompt audio for the inference.
- `GPTSoVITSInference.get_tts_wav_stream`: Return a generator that yields the audio pieces of the generated audio. It will create a background thread to generate the audio, so you can get the audio pieces while the audio is still being generated.