Install audio-separator CPU extra on HF
Browse files- infer/cover_pipeline.py +5 -1
- infer/separator.py +25 -11
- requirements.txt +1 -1
- requirements_hf.txt +1 -1
- tests/test_hf_entrypoint.py +1 -1
infer/cover_pipeline.py
CHANGED
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@@ -23,6 +23,7 @@ from infer.separator import (
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KARAOKE_DEFAULT_MODEL,
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check_demucs_available,
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check_roformer_available,
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get_available_models,
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)
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from infer.official_adapter import (
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@@ -591,8 +592,11 @@ class CoverPipeline:
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# Roformer 模式
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if model_name == "roformer":
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if not check_roformer_available():
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raise ImportError(
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-
"请安装 audio-separator
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)
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if (
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self.separator is not None
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KARAOKE_DEFAULT_MODEL,
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check_demucs_available,
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check_roformer_available,
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+
get_audio_separator_unavailable_reason,
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get_available_models,
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)
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from infer.official_adapter import (
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# Roformer 模式
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if model_name == "roformer":
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if not check_roformer_available():
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reason = get_audio_separator_unavailable_reason()
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suffix = f";原始错误: {reason}" if reason else ""
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raise ImportError(
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"请安装 audio-separator[cpu] 或 audio-separator[gpu]"
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f"{suffix}"
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)
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if (
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self.separator is not None
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infer/separator.py
CHANGED
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@@ -10,6 +10,7 @@ import shutil
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import torch
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import numpy as np
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import soundfile as sf
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from pathlib import Path
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from typing import Tuple, Optional, Callable, Union
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@@ -29,16 +30,35 @@ except ImportError:
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try:
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from audio_separator.separator import Separator
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AUDIO_SEPARATOR_AVAILABLE = True
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# 抑制 audio-separator 的英文日志,我们有自己的中文日志
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-
import logging as _logging
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_logging.getLogger("audio_separator").setLevel(_logging.WARNING)
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-
except ImportError:
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AUDIO_SEPARATOR_AVAILABLE = False
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ModelSpec = Union[str, list[str], tuple[str, ...]]
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# Public scored SOTA defaults from audio-separator 0.44.1's model table.
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# Keep the cover pipeline unchanged; only the separator model choices change.
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ENSEMBLE_PRESET_PREFIX = "ensemble:"
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@@ -185,9 +205,7 @@ class RoformerSeparator:
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(
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"请安装 audio-separator: pip install audio-separator[gpu]"
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-
)
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self.model_filename = model_filename
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self.model_candidates = [model_filename]
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self.device = str(get_device(device))
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@@ -354,9 +372,7 @@ class KaraokeSeparator:
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(
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"请安装 audio-separator: pip install audio-separator[gpu]"
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)
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self.device = str(get_device(device))
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self.separator = None
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self.active_model = None
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@@ -521,9 +537,7 @@ class RoformerDereverbSeparator:
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(
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"请安装 audio-separator: pip install audio-separator[gpu]"
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-
)
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self.device = str(get_device(device))
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self.separator = None
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self.active_model = None
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import torch
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import numpy as np
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import soundfile as sf
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+
import logging as _logging
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from pathlib import Path
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from typing import Tuple, Optional, Callable, Union
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try:
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from audio_separator.separator import Separator
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AUDIO_SEPARATOR_AVAILABLE = True
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AUDIO_SEPARATOR_IMPORT_ERROR = None
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# 抑制 audio-separator 的英文日志,我们有自己的中文日志
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_logging.getLogger("audio_separator").setLevel(_logging.WARNING)
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except ImportError as exc:
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Separator = None
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AUDIO_SEPARATOR_AVAILABLE = False
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AUDIO_SEPARATOR_IMPORT_ERROR = exc
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ModelSpec = Union[str, list[str], tuple[str, ...]]
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def get_audio_separator_unavailable_reason() -> str:
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"""Return the original audio-separator import failure, if any."""
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if AUDIO_SEPARATOR_AVAILABLE:
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return ""
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if AUDIO_SEPARATOR_IMPORT_ERROR is None:
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return "audio-separator 未安装或不可导入"
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return str(AUDIO_SEPARATOR_IMPORT_ERROR)
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def _audio_separator_install_message() -> str:
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message = "请安装 audio-separator[cpu] 或 audio-separator[gpu]"
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reason = get_audio_separator_unavailable_reason()
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if reason:
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message += f";原始错误: {reason}"
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return message
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+
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# Public scored SOTA defaults from audio-separator 0.44.1's model table.
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# Keep the cover pipeline unchanged; only the separator model choices change.
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ENSEMBLE_PRESET_PREFIX = "ensemble:"
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(_audio_separator_install_message())
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self.model_filename = model_filename
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self.model_candidates = [model_filename]
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self.device = str(get_device(device))
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(_audio_separator_install_message())
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self.device = str(get_device(device))
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self.separator = None
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self.active_model = None
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device: str = "cuda",
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):
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if not AUDIO_SEPARATOR_AVAILABLE:
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raise ImportError(_audio_separator_install_message())
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self.device = str(get_device(device))
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self.separator = None
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self.active_model = None
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requirements.txt
CHANGED
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@@ -32,7 +32,7 @@ python-dotenv>=1.0.0
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colorama>=0.4.6
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# AI 翻唱功能(核心)
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-
audio-separator==0.44.1
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huggingface_hub>=0.19.0,<1.0
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pedalboard>=0.7.0
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ffmpeg-python>=0.2.0
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colorama>=0.4.6
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# AI 翻唱功能(核心)
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+
audio-separator[cpu]==0.44.1
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huggingface_hub>=0.19.0,<1.0
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pedalboard>=0.7.0
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ffmpeg-python>=0.2.0
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requirements_hf.txt
CHANGED
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@@ -32,7 +32,7 @@ python-dotenv>=1.0.0
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colorama>=0.4.6
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# AI 翻唱功能(核心)
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-
audio-separator==0.44.1
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huggingface_hub>=0.19.0,<1.0
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pedalboard>=0.7.0
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ffmpeg-python>=0.2.0
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colorama>=0.4.6
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# AI 翻唱功能(核心)
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+
audio-separator[cpu]==0.44.1
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huggingface_hub>=0.19.0,<1.0
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pedalboard>=0.7.0
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ffmpeg-python>=0.2.0
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tests/test_hf_entrypoint.py
CHANGED
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@@ -39,7 +39,7 @@ class HuggingFaceEntrypointTests(unittest.TestCase):
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self.assertIn("jinja2>=3.1,<4", requirements)
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self.assertIn("pandas>=2,<3", requirements)
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self.assertIn("numpy>=2,<3", requirements)
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-
self.assertIn("audio-separator==0.44.1", requirements)
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self.assertIn("huggingface_hub>=0.19.0,<1.0", requirements)
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self.assertIn("jinja2>=3.1,<4", requirements)
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self.assertIn("pandas>=2,<3", requirements)
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self.assertIn("numpy>=2,<3", requirements)
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self.assertIn("audio-separator[cpu]==0.44.1", requirements)
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self.assertIn("huggingface_hub>=0.19.0,<1.0", requirements)
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