add pyproject.toml

[QIN2DIM]

fix: #54

在当前项目目录下创建虚拟环境 .venv，安装所有依赖项：

poetry config virtualenvs.in-project true
poetry shell 
poetry install

(Optional) 额外安装开发依赖：

poetry install --with dev

(Optional) 额外安装测试依赖：

poetry install --with test

[QIN2DIM]

针对不同硬件环境选择安装不同版本的 torch 依赖项，可以通过更复杂的 markers 判断运行设备是否存在可用的GPU

https://python-poetry.org/docs/dependency-specification/#using-environment-markers

不过这里直接按照操作系统划分处理了，也即，macOS 统一走默认 PyPI，其余系统安装 gpu 版本

torch = [
    { version = "^2.3.0+cu118", source = "pytorch-gpu-src" },
    { platform = "darwin", version = "^2" }
]
torchaudio = [
    { version = "^2.3.0+cu118", source = "pytorch-gpu-src" },
    { platform = "darwin", version = "^2" }
]

$ poetry show torch
 name         : torch                                                                      
 version      : 2.3.0+cu118
 description  : Tensors and Dynamic neural networks in Python with strong GPU acceleration

dependencies
 - filelock *
 - fsspec *
 - jinja2 *
 - mkl >=2021.1.1,<=2021.4.0
 - networkx *
 - nvidia-cublas-cu11 11.11.3.6
 - nvidia-cuda-cupti-cu11 11.8.87
 - nvidia-cuda-nvrtc-cu11 11.8.89
 - nvidia-cuda-runtime-cu11 11.8.89
 - nvidia-cudnn-cu11 8.7.0.84
 - nvidia-cufft-cu11 10.9.0.58
 - nvidia-curand-cu11 10.3.0.86
 - nvidia-cusolver-cu11 11.4.1.48
 - nvidia-cusparse-cu11 11.7.5.86
 - nvidia-nccl-cu11 2.20.5
 - nvidia-nvtx-cu11 11.8.86
 - sympy *
 - triton 2.3.0
 - typing-extensions >=4.8.0

required by
 - encodec *
 - torchaudio 2.3.0
 - vector-quantize-pytorch >=2.0
 - vocos *

[jianchang512]

README.md 里可以加上相关使用说明

[QIN2DIM]

不是老哥你合的太果断了，你可以测一下，我这边只有 linux 和 win 的设备- -