|
|
| """
|
| RVC 安装脚本
|
| 自动创建虚拟环境 → 安装依赖 → 启动应用
|
|
|
| 用法:
|
| python install.py # 完整安装并启动
|
| python install.py --check # 仅检查依赖
|
| python install.py --no-run # 安装但不启动
|
| python install.py --cpu # 安装 CPU 版本
|
| """
|
| import subprocess
|
| import sys
|
| import os
|
| from pathlib import Path
|
|
|
| ROOT_DIR = Path(__file__).parent
|
| VENV_DIR = ROOT_DIR / "venv310"
|
|
|
| PYTHON310_CANDIDATES = [
|
| r"C:\Users\Administrator\AppData\Local\Programs\Python\Python310\python.exe",
|
| r"C:\Python310\python.exe",
|
| r"C:\Program Files\Python310\python.exe",
|
| r"C:\Program Files (x86)\Python310\python.exe",
|
| ]
|
|
|
| PACKAGES = {
|
| "torch": {"import": "torch", "name": "PyTorch", "pip": "torch"},
|
| "torchaudio": {"import": "torchaudio", "name": "torchaudio", "pip": "torchaudio"},
|
| "gradio": {"import": "gradio", "name": "Gradio", "pip": "gradio==5.49.1"},
|
| "librosa": {"import": "librosa", "name": "librosa", "pip": "librosa"},
|
| "soundfile": {"import": "soundfile", "name": "soundfile", "pip": "soundfile"},
|
| "av": {"import": "av", "name": "PyAV", "pip": "av"},
|
| "scipy": {"import": "scipy", "name": "scipy", "pip": "scipy"},
|
| "numpy": {
|
| "import": "numpy",
|
| "name": "numpy",
|
| "pip": "numpy>=2,<3",
|
| "dist": "numpy",
|
| "min_version": "2.0.0",
|
| "max_exclusive_version": "3.0.0",
|
| },
|
| "parselmouth": {"import": "parselmouth", "name": "praat-parselmouth", "pip": "praat-parselmouth"},
|
| "pyworld": {"import": "pyworld", "name": "pyworld", "pip": "pyworld"},
|
| "torchcrepe": {"import": "torchcrepe", "name": "torchcrepe", "pip": "torchcrepe"},
|
| "faiss": {"import": "faiss", "name": "faiss-cpu", "pip": "faiss-cpu"},
|
| "tqdm": {"import": "tqdm", "name": "tqdm", "pip": "tqdm"},
|
| "requests": {"import": "requests", "name": "requests", "pip": "requests"},
|
| "dotenv": {"import": "dotenv", "name": "python-dotenv", "pip": "python-dotenv"},
|
| "colorama": {"import": "colorama", "name": "colorama", "pip": "colorama"},
|
| "mcp": {"import": "mcp", "name": "mcp", "pip": "mcp"},
|
| "demucs": {"import": "demucs", "name": "demucs", "pip": "demucs"},
|
| "audio_separator": {
|
| "import": "audio_separator",
|
| "name": "audio-separator",
|
| "pip": "audio-separator",
|
| "dist": "audio-separator",
|
| "min_version": "0.44.1",
|
| },
|
| "huggingface_hub": {"import": "huggingface_hub", "name": "huggingface_hub", "pip": "huggingface_hub"},
|
| "pedalboard": {"import": "pedalboard", "name": "pedalboard", "pip": "pedalboard"},
|
| "ffmpeg": {"import": "ffmpeg", "name": "ffmpeg-python", "pip": "ffmpeg-python"},
|
| "fairseq": {"import": "fairseq", "name": "fairseq", "pip": "fairseq==0.12.2"},
|
| }
|
|
|
|
|
|
|
| def find_python310():
|
| """查找系统中的 Python 3.10"""
|
| if sys.version_info[:2] == (3, 10):
|
| return sys.executable
|
| for p in PYTHON310_CANDIDATES:
|
| if os.path.isfile(p):
|
| return p
|
| try:
|
| r = subprocess.run(
|
| ["py", "-3.10", "-c", "import sys; print(sys.executable)"],
|
| capture_output=True, text=True, timeout=10,
|
| )
|
| if r.returncode == 0:
|
| return r.stdout.strip()
|
| except (FileNotFoundError, subprocess.TimeoutExpired):
|
| pass
|
| return None
|
|
|
|
|
| def get_venv_python():
|
| """获取虚拟环境的 Python 路径"""
|
| if os.name == "nt":
|
| return str(VENV_DIR / "Scripts" / "python.exe")
|
| return str(VENV_DIR / "bin" / "python")
|
|
|
|
|
| def create_venv():
|
| """创建 Python 3.10 虚拟环境"""
|
| venv_py = get_venv_python()
|
| if os.path.isfile(venv_py):
|
| r = subprocess.run([venv_py, "--version"], capture_output=True, text=True)
|
| if r.returncode == 0 and "3.10" in r.stdout:
|
| print(f" [OK] 虚拟环境已存在: {VENV_DIR}")
|
| return True
|
|
|
| py310 = find_python310()
|
| if not py310:
|
| print(" [错误] 未找到 Python 3.10")
|
| print(" 下载: https://www.python.org/downloads/release/python-31011/")
|
| return False
|
|
|
| print(f" 使用 Python: {py310}")
|
| print(f" 创建虚拟环境: {VENV_DIR}")
|
| r = subprocess.run([py310, "-m", "venv", str(VENV_DIR)], capture_output=True, text=True)
|
| if r.returncode != 0:
|
| print(f" [错误] 创建失败:\n{r.stderr}")
|
| return False
|
|
|
| print(" [OK] 虚拟环境创建成功")
|
| print(" 升级 pip ...")
|
| subprocess.run([venv_py, "-m", "pip", "install", "--upgrade", "pip"],
|
| capture_output=True, text=True)
|
| return True
|
|
|
|
|
|
|
| def check_package(venv_py, import_name):
|
| """用虚拟环境的 Python 检查包是否已安装"""
|
| r = subprocess.run(
|
| [venv_py, "-c", f"import {import_name}"],
|
| capture_output=True, text=True,
|
| )
|
| return r.returncode == 0
|
|
|
|
|
| def get_installed_version(venv_py, distribution_name):
|
| """返回虚拟环境中已安装发行包版本；无法读取时返回 None。"""
|
| code = (
|
| "from importlib.metadata import PackageNotFoundError, version\n"
|
| f"dist = {distribution_name!r}\n"
|
| "try:\n"
|
| " print(version(dist))\n"
|
| "except PackageNotFoundError:\n"
|
| " raise SystemExit(1)\n"
|
| )
|
| r = subprocess.run([venv_py, "-c", code], capture_output=True, text=True)
|
| if r.returncode != 0:
|
| return None
|
| return r.stdout.strip() or None
|
|
|
|
|
| def _version_parts(version_text):
|
| parts = []
|
| for part in str(version_text or "").split("."):
|
| digits = ""
|
| for char in part:
|
| if not char.isdigit():
|
| break
|
| digits += char
|
| parts.append(int(digits or 0))
|
| return tuple(parts)
|
|
|
|
|
| def _version_at_least(installed, required):
|
| installed_parts = _version_parts(installed)
|
| required_parts = _version_parts(required)
|
| width = max(len(installed_parts), len(required_parts))
|
| installed_parts += (0,) * (width - len(installed_parts))
|
| required_parts += (0,) * (width - len(required_parts))
|
| return installed_parts >= required_parts
|
|
|
|
|
| def _version_less_than(installed, upper_bound):
|
| installed_parts = _version_parts(installed)
|
| upper_parts = _version_parts(upper_bound)
|
| width = max(len(installed_parts), len(upper_parts))
|
| installed_parts += (0,) * (width - len(installed_parts))
|
| upper_parts += (0,) * (width - len(upper_parts))
|
| return installed_parts < upper_parts
|
|
|
|
|
| def detect_cuda_version():
|
| """检测系统 CUDA 版本，返回对应的 PyTorch index-url"""
|
| try:
|
| r = subprocess.run(
|
| ["nvidia-smi", "--query-gpu=driver_version", "--format=csv,noheader"],
|
| capture_output=True, text=True, timeout=10,
|
| )
|
| if r.returncode == 0:
|
|
|
| r2 = subprocess.run(
|
| ["nvidia-smi"],
|
| capture_output=True, text=True, timeout=10,
|
| )
|
| output = r2.stdout
|
|
|
| import re
|
| match = re.search(r"CUDA Version:\s*(\d+)\.(\d+)", output)
|
| if match:
|
| major, minor = int(match.group(1)), int(match.group(2))
|
| if (major, minor) >= (12, 6):
|
| return "https://download.pytorch.org/whl/cu126"
|
| elif (major, minor) >= (12, 4):
|
| return "https://download.pytorch.org/whl/cu124"
|
| elif (major, minor) >= (12, 1):
|
| return "https://download.pytorch.org/whl/cu121"
|
| elif (major, minor) >= (11, 8):
|
| return "https://download.pytorch.org/whl/cu118"
|
| else:
|
| return None
|
| except (FileNotFoundError, subprocess.TimeoutExpired):
|
| pass
|
| return None
|
|
|
|
|
| def pip_install(venv_py, package, extra="", index_url=None, no_deps=False, version_spec=""):
|
| """用虚拟环境的 pip 安装包"""
|
| target = f"{package}[{extra}]{version_spec}" if extra else f"{package}{version_spec}"
|
| print(f" 安装 {target} ...")
|
| cmd = [venv_py, "-m", "pip", "install", target]
|
| if index_url:
|
| cmd.extend(["--index-url", index_url])
|
| if no_deps:
|
| cmd.append("--no-deps")
|
| r = subprocess.run(cmd, capture_output=True, text=True)
|
| if r.returncode != 0:
|
|
|
| if not no_deps and "ResolutionImpossible" in r.stderr:
|
| print(f" [依赖冲突] 尝试 --no-deps 安装 {target} ...")
|
| return pip_install(venv_py, package, extra=extra, index_url=index_url, no_deps=True)
|
| print(f" [失败] {target}")
|
| lines = r.stderr.strip().splitlines()
|
| if lines:
|
| print(f" {lines[-1]}")
|
| return False
|
| print(f" [完成] {target}")
|
| return True
|
|
|
|
|
| def check_all(venv_py):
|
| """检查所有依赖"""
|
| print("=" * 50)
|
| print("RVC 依赖检查")
|
| print("=" * 50)
|
| missing = []
|
| for key, info in PACKAGES.items():
|
| ok = check_package(venv_py, info["import"])
|
| status = "OK" if ok else "未安装"
|
| min_version = info.get("min_version")
|
| max_exclusive_version = info.get("max_exclusive_version")
|
| if ok and (min_version or max_exclusive_version):
|
| installed_version = get_installed_version(
|
| venv_py,
|
| info.get("dist", info["pip"]),
|
| )
|
| if not installed_version:
|
| ok = False
|
| requirements = []
|
| if min_version:
|
| requirements.append(f">= {min_version}")
|
| if max_exclusive_version:
|
| requirements.append(f"< {max_exclusive_version}")
|
| status = f"需更新 (无法读取版本，要求 {' 且 '.join(requirements)})"
|
| elif (
|
| (not min_version or _version_at_least(installed_version, min_version))
|
| and (
|
| not max_exclusive_version
|
| or _version_less_than(installed_version, max_exclusive_version)
|
| )
|
| ):
|
| status = f"OK ({installed_version})"
|
| else:
|
| ok = False
|
| requirements = []
|
| if min_version:
|
| requirements.append(f">= {min_version}")
|
| if max_exclusive_version:
|
| requirements.append(f"< {max_exclusive_version}")
|
| status = f"需更新 ({installed_version} 不满足 {' 且 '.join(requirements)})"
|
| mark = "[v]" if ok else "[x]"
|
| print(f" {mark} {info['name']:30s} {status}")
|
| if not ok:
|
| missing.append(info)
|
| print("-" * 50)
|
| if missing:
|
| print(f"缺少 {len(missing)} 个依赖包")
|
| else:
|
| print("所有依赖已安装")
|
| return missing
|
|
|
|
|
| def install_all(venv_py, gpu=True):
|
| """安装所有缺失的依赖"""
|
| missing = check_all(venv_py)
|
| if not missing:
|
| print("\n无需安装，所有依赖已就绪。")
|
| return True
|
|
|
|
|
| cuda_index_url = None
|
| if gpu:
|
| cuda_index_url = detect_cuda_version()
|
| if cuda_index_url:
|
| print(f"\n 检测到 CUDA，使用 PyTorch 源: {cuda_index_url}")
|
| else:
|
| print("\n [错误] 未检测到支持的 CUDA，GPU 安装停止。")
|
| print(" 如需 CPU 版 PyTorch，请显式使用 --cpu。")
|
| return False
|
|
|
| print(f"\n开始安装 {len(missing)} 个缺失的依赖...\n")
|
| failed = []
|
| for info in missing:
|
| pip_name = info["pip"]
|
| if pip_name in ("torch", "torchaudio"):
|
| if gpu and cuda_index_url:
|
| ok = pip_install(venv_py, pip_name, index_url=cuda_index_url)
|
| else:
|
| ok = pip_install(venv_py, pip_name, index_url="https://download.pytorch.org/whl/cpu")
|
| elif pip_name == "audio-separator":
|
| version_spec = f">={info['min_version']}" if info.get("min_version") else ""
|
| ok = pip_install(
|
| venv_py,
|
| pip_name,
|
| extra="gpu" if gpu else "cpu",
|
| version_spec=version_spec,
|
| )
|
| else:
|
| ok = pip_install(venv_py, pip_name)
|
| if not ok:
|
| failed.append(info["name"])
|
|
|
| print("\n" + "=" * 50)
|
| if failed:
|
| print(f"安装完成，{len(failed)} 个包失败: {', '.join(failed)}")
|
| return False
|
| print("所有依赖安装成功!")
|
| return True
|
|
|
|
|
| def launch_app(venv_py):
|
| """用虚拟环境启动应用"""
|
| run_script = str(ROOT_DIR / "run.py")
|
| print(f"\n启动应用: {run_script}")
|
| print("=" * 50)
|
| try:
|
| subprocess.run([venv_py, run_script], cwd=str(ROOT_DIR))
|
| except KeyboardInterrupt:
|
| print("\n已停止")
|
|
|
|
|
|
|
| def main():
|
| import argparse
|
| parser = argparse.ArgumentParser(description="RVC 安装脚本")
|
| parser.add_argument("--cpu", action="store_true", help="安装 CPU 版本")
|
| parser.add_argument("--check", action="store_true", help="仅检查依赖")
|
| parser.add_argument("--no-run", action="store_true", help="安装后不启动")
|
| args = parser.parse_args()
|
|
|
| print("=" * 50)
|
| print("RVC 安装程序")
|
| print("=" * 50)
|
|
|
|
|
| print("\n[1/3] 检查虚拟环境")
|
| if not create_venv():
|
| sys.exit(1)
|
|
|
| venv_py = get_venv_python()
|
|
|
|
|
| print(f"\n[2/3] 检查依赖")
|
| if args.check:
|
| check_all(venv_py)
|
| return
|
|
|
| gpu = not args.cpu
|
| if not install_all(venv_py, gpu=gpu):
|
| print("\n部分依赖安装失败，可尝试手动安装。")
|
| sys.exit(1)
|
|
|
|
|
| if args.no_run:
|
| print("\n安装完成。运行方式:")
|
| print(f" {venv_py} run.py")
|
| return
|
|
|
| print(f"\n[3/3] 启动应用")
|
| launch_app(venv_py)
|
|
|
|
|
| if __name__ == "__main__":
|
| main()
|
|
|
