From 424b9e444f226671bbb11aae375cc0905a0208e4 Mon Sep 17 00:00:00 2001 From: zhifu gao Date: Tue, 14 Jul 2026 14:10:48 +0000 Subject: [PATCH 1/3] feat(asr): add optional SenseVoice provider --- .github/workflows/ci.yml | 2 +- .github/workflows/publish-pypi.yml | 2 +- README.md | 8 +- docs/cli.md | 10 +- pyproject.toml | 5 + tests/test_asr/test_sensevoice_asr.py | 177 ++ tests/test_cli/test_parser.py | 45 + uv.lock | 3033 ++++++++++++++----- videocaptioner/cli/commands/doctor.py | 10 + videocaptioner/cli/commands/transcribe.py | 6 + videocaptioner/cli/config.py | 6 + videocaptioner/cli/main.py | 19 +- videocaptioner/cli/validators.py | 19 + videocaptioner/core/asr/__init__.py | 2 + videocaptioner/core/asr/sensevoice.py | 292 ++ videocaptioner/core/asr/transcribe.py | 22 + videocaptioner/core/entities.py | 18 + videocaptioner/ui/common/config.py | 9 + videocaptioner/ui/task_factory.py | 3 + videocaptioner/ui/view/setting_interface.py | 26 + 20 files changed, 3012 insertions(+), 702 deletions(-) create mode 100644 tests/test_asr/test_sensevoice_asr.py create mode 100644 videocaptioner/core/asr/sensevoice.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index a9466ed87..8d0d33fd4 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -37,7 +37,7 @@ jobs: run: uv run pyright videocaptioner/cli/ - name: Unit tests - run: uv run pytest tests/test_cli tests/test_dubbing -q + run: uv run pytest tests/test_cli tests/test_dubbing tests/test_asr/test_sensevoice_asr.py -q - name: Build package run: uv build diff --git a/.github/workflows/publish-pypi.yml b/.github/workflows/publish-pypi.yml index 959b0b3dd..94e83b205 100644 --- a/.github/workflows/publish-pypi.yml +++ b/.github/workflows/publish-pypi.yml @@ -38,7 +38,7 @@ jobs: run: uv run pyright videocaptioner/cli/ - name: Unit tests (CLI) - run: uv run pytest tests/test_cli/ -q + run: uv run pytest tests/test_cli/ tests/test_asr/test_sensevoice_asr.py -q build: needs: quality diff --git a/README.md b/README.md index 161ae3a71..16f4f2d73 100644 --- a/README.md +++ b/README.md @@ -10,8 +10,11 @@ ```bash pip install videocaptioner # 安装 CLI + GUI 桌面版 +pip install 'videocaptioner[sensevoice]' # 可选：本地 SenseVoice/FunASR 转录 ``` +SenseVoice extra 会安装 FunASR、PyTorch 和 torchaudio。GPU 用户如需特定 CUDA 构建，请先按 [PyTorch 官方说明](https://pytorch.org/get-started/locally/)安装相互匹配的 PyTorch 与 torchaudio。 + 免费功能（必剪语音识别、必应/谷歌翻译）**无需任何配置，安装即用**。 ## CLI 命令行 @@ -20,6 +23,9 @@ pip install videocaptioner # 安装 CLI + GUI 桌面版 # 语音转录（免费，无需 API Key） videocaptioner transcribe video.mp4 --asr bijian +# 本地 SenseVoice 转录（支持词级时间戳） +videocaptioner transcribe video.mp4 --asr sensevoice --language auto + # 字幕翻译（免费必应翻译） videocaptioner subtitle input.srt --translator bing --target-language en @@ -49,7 +55,7 @@ videocaptioner config set llm.model gpt-4o-mini | 命令 | 说明 | |------|------| | `gui` | 打开桌面版。也可以直接运行 `videocaptioner-gui` | -| `transcribe` | 语音转字幕。引擎：`faster-whisper`、`whisper-api`、`bijian`（免费）、`jianying`（免费）、`whisper-cpp` | +| `transcribe` | 语音转字幕。引擎：`faster-whisper`、`sensevoice`、`whisper-api`、`bijian`（免费）、`jianying`（免费）、`whisper-cpp` | | `subtitle` | 字幕优化/翻译。翻译服务：`llm`、`bing`（免费）、`google`（免费） | | `dub` | 根据字幕生成配音音轨或配音视频 | | `synthesize` | 字幕烧录到视频（软字幕/硬字幕） | diff --git a/docs/cli.md b/docs/cli.md index 984f1c6ce..b388c43c5 100644 --- a/docs/cli.md +++ b/docs/cli.md @@ -4,8 +4,11 @@ ```bash pip install videocaptioner # CLI + GUI 桌面版 +pip install 'videocaptioner[sensevoice]' # 可选：本地 SenseVoice/FunASR 转录 ``` +SenseVoice extra 会安装 FunASR、PyTorch 和 torchaudio。GPU 用户如需特定 CUDA 构建，请先按 [PyTorch 官方说明](https://pytorch.org/get-started/locally/)安装相互匹配的 PyTorch 与 torchaudio。 + 免费功能（转录、必应/谷歌翻译）无需任何配置，安装后直接使用。 需要桌面版时运行 `videocaptioner-gui`、`videocaptioner gui`，或直接运行无参数的 `videocaptioner`。 @@ -17,6 +20,9 @@ pip install videocaptioner # CLI + GUI 桌面版 # 语音转字幕（免费） videocaptioner transcribe video.mp4 --asr bijian +# 本地 SenseVoice 转录 +videocaptioner transcribe video.mp4 --asr sensevoice --language auto + # 翻译字幕（免费必应翻译） videocaptioner subtitle input.srt --translator bing --target-language en @@ -48,12 +54,14 @@ videocaptioner transcribe <文件> [选项] | 选项 | 说明 | |------|------| -| `--asr` | ASR 引擎：`bijian`(默认,免费) `jianying`(免费) `whisper-api` `whisper-cpp`。bijian/jianying 仅支持中英文，其他语言用 whisper-api 或 whisper-cpp | +| `--asr` | ASR 引擎：`bijian`(默认,免费) `jianying`(免费) `whisper-api` `whisper-cpp` `sensevoice`。SenseVoice 在本地运行，默认模型支持中文、粤语、英语、日语和韩语 | | `--language CODE` | 源语言 ISO 639-1 代码，如 `zh` `en` `ja`，或 `auto`（默认） | | `--word-timestamps` | 输出词级时间戳（配合字幕断句使用） | | `--whisper-api-key` | Whisper API 密钥（仅 `--asr whisper-api`） | | `--whisper-api-base` | Whisper API 地址 | | `--whisper-model` | Whisper 模型名（whisper-api 默认 whisper-1，whisper-cpp 默认 large-v2） | +| `--sensevoice-model` | FunASR 模型名或本地路径（默认 `iic/SenseVoiceSmall`） | +| `--sensevoice-device` | SenseVoice 推理设备：`auto`(默认) `cuda` `cpu` `mps` | | `-o PATH` | 输出文件或目录路径 | | `--format` | 输出格式：`srt`(默认) `ass` `txt` `json` | diff --git a/pyproject.toml b/pyproject.toml index 7dd632635..14e4fab07 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,6 +43,11 @@ dependencies = [ [project.optional-dependencies] gui = [] +sensevoice = [ + "funasr>=1.3.9,<2", + "torch>=1.13", + "torchaudio>=0.13", +] [project.urls] Homepage = "https://github.com/WEIFENG2333/VideoCaptioner" diff --git a/tests/test_asr/test_sensevoice_asr.py b/tests/test_asr/test_sensevoice_asr.py new file mode 100644 index 000000000..46391e3e8 --- /dev/null +++ b/tests/test_asr/test_sensevoice_asr.py @@ -0,0 +1,177 @@ +import builtins +from pathlib import Path + +import pytest + +from videocaptioner.core.asr.sensevoice import SenseVoiceASR +from videocaptioner.core.asr.transcribe import _create_asr_instance +from videocaptioner.core.entities import TranscribeConfig, TranscribeModelEnum + + +class FakeSenseVoiceModel: + def __init__(self, result): + self.result = result + self.generate_kwargs = None + + def generate(self, **kwargs): + self.generate_kwargs = kwargs + progress_callback = kwargs.get("progress_callback") + if progress_callback: + progress_callback(1, 2) + progress_callback(2, 2) + return self.result + + +@pytest.fixture(autouse=True) +def clear_model_cache(): + SenseVoiceASR._model_cache.clear() + yield + SenseVoiceASR._model_cache.clear() + + +def test_preserves_native_word_timestamps(test_audio_path_zh, monkeypatch): + model = FakeSenseVoiceModel( + [ + { + "text": "<|zh|><|NEUTRAL|><|Speech|><|withitn|>今天天气？", + "words": ["今", "天", "天", "气", "？"], + "timestamp": [[100, 180], [200, 280], [500, 580], [600, 680], [700, 760]], + } + ] + ) + monkeypatch.setattr(SenseVoiceASR, "_get_model", lambda self: model) + callbacks = [] + + result = SenseVoiceASR( + str(test_audio_path_zh), + model="iic/SenseVoiceSmall", + device="cpu", + language="zh", + need_word_time_stamp=True, + ).run(lambda progress, message: callbacks.append((progress, message))) + + assert [(seg.text, seg.start_time, seg.end_time) for seg in result] == [ + ("今", 100, 180), + ("天", 200, 280), + ("天", 500, 580), + ("气", 600, 680), + ("？", 700, 760), + ] + assert model.generate_kwargs["language"] == "zh" + assert model.generate_kwargs["output_timestamp"] is True + assert model.generate_kwargs["merge_vad"] is True + assert callbacks[-1][0] == 100 + + +def test_groups_words_into_readable_sentence_segments(test_audio_path_en, monkeypatch): + model = FakeSenseVoiceModel( + [ + { + "text": "<|en|><|NEUTRAL|><|Speech|><|withitn|>What's new? Fine.", + "words": ["What", "'", "s", "new", "?", "Fine", "."], + "timestamp": [ + [100, 180], + [180, 220], + [220, 260], + [300, 420], + [420, 480], + [1800, 2000], + [2000, 2060], + ], + } + ] + ) + monkeypatch.setattr(SenseVoiceASR, "_get_model", lambda self: model) + + result = SenseVoiceASR( + str(test_audio_path_en), + model="iic/SenseVoiceSmall", + device="cpu", + language="auto", + ).run() + + assert [(seg.text, seg.start_time, seg.end_time) for seg in result] == [ + ("What's new?", 100, 480), + ("Fine.", 1800, 2060), + ] + + +def test_falls_back_to_clean_text_and_timestamp_bounds(test_audio_path_zh, monkeypatch): + model = FakeSenseVoiceModel( + [ + { + "text": "<|zh|><|NEUTRAL|><|Speech|><|withitn|>你好。", + "timestamp": [[250, 310], [500, 720], [720, 800]], + } + ] + ) + monkeypatch.setattr(SenseVoiceASR, "_get_model", lambda self: model) + + result = SenseVoiceASR(str(test_audio_path_zh), device="cpu").run() + + assert len(result) == 1 + assert result.segments[0].text == "你好。" + assert result.segments[0].start_time == 250 + assert result.segments[0].end_time == 800 + + +def test_encoded_audio_bytes_are_converted_to_wav(test_audio_path_zh, monkeypatch): + class InspectingModel(FakeSenseVoiceModel): + def generate(self, **kwargs): + input_path = Path(kwargs["input"]) + assert input_path.suffix == ".wav" + assert input_path.exists() + assert input_path.read_bytes().startswith(b"RIFF") + return super().generate(**kwargs) + + model = InspectingModel( + [ + { + "text": "<|zh|><|NEUTRAL|><|Speech|><|withitn|>你好。", + "words": ["你", "好", "。"], + "timestamp": [[100, 200], [250, 350], [350, 400]], + } + ] + ) + monkeypatch.setattr(SenseVoiceASR, "_get_model", lambda self: model) + + result = SenseVoiceASR(test_audio_path_zh.read_bytes(), device="cpu").run() + + assert result.segments[0].text == "你好。" + + +def test_missing_optional_dependency_has_install_hint(test_audio_path_zh, monkeypatch): + asr = SenseVoiceASR(str(test_audio_path_zh), device="cpu") + real_import = builtins.__import__ + + def import_without_funasr(name, *args, **kwargs): + if name == "funasr": + raise ModuleNotFoundError("No module named 'funasr'") + return real_import(name, *args, **kwargs) + + monkeypatch.setattr(builtins, "__import__", import_without_funasr) + + with pytest.raises(RuntimeError, match=r"videocaptioner\[sensevoice\]"): + asr._create_model("cpu") + + +def test_transcribe_factory_builds_single_worker_sensevoice(test_audio_path_zh): + config = TranscribeConfig( + transcribe_model=TranscribeModelEnum.SENSEVOICE, + transcribe_language="yue", + need_word_time_stamp=True, + sensevoice_model="iic/SenseVoiceSmall", + sensevoice_device="cpu", + ) + + chunked = _create_asr_instance(str(test_audio_path_zh), config) + + assert chunked.asr_class is SenseVoiceASR + assert chunked.chunk_concurrency == 1 + assert chunked.asr_kwargs == { + "use_cache": True, + "need_word_time_stamp": True, + "language": "yue", + "model": "iic/SenseVoiceSmall", + "device": "cpu", + } diff --git a/tests/test_cli/test_parser.py b/tests/test_cli/test_parser.py index 73447e22c..903ad5f2c 100644 --- a/tests/test_cli/test_parser.py +++ b/tests/test_cli/test_parser.py @@ -3,6 +3,8 @@ import pytest from videocaptioner.cli import exit_codes as EXIT +from videocaptioner.cli import validators +from videocaptioner.cli.commands import doctor from videocaptioner.cli.commands.process import _resolve_final_output_path from videocaptioner.cli.main import main @@ -71,6 +73,22 @@ def test_invalid_asr(self): main(["transcribe", "test.mp4", "--asr", "invalid"]) assert exc.value.code == 2 + def test_sensevoice_options_are_accepted(self): + result = main( + [ + "transcribe", + "/nonexistent/file.mp4", + "--asr", + "sensevoice", + "--sensevoice-model", + "iic/SenseVoiceSmall", + "--sensevoice-device", + "cpu", + ] + ) + + assert result == EXIT.FILE_NOT_FOUND + def test_file_not_found(self): assert main(["transcribe", "/nonexistent/file.mp4"]) == EXIT.FILE_NOT_FOUND @@ -272,3 +290,30 @@ def test_doctor_help(self, capsys): out = capsys.readouterr().out assert "--json" in out assert "--check-api" in out + + +class TestSenseVoiceDependencies: + def test_preflight_reports_all_missing_runtime_packages(self, monkeypatch, capsys): + monkeypatch.setattr( + validators.importlib.util, + "find_spec", + lambda name: object() if name == "funasr" else None, + ) + + assert validators.validate_sensevoice() is False + captured = capsys.readouterr() + assert "torch, torchaudio" in captured.out + captured.err + + def test_doctor_reports_all_missing_runtime_packages(self, monkeypatch): + monkeypatch.setattr( + validators.importlib.util, + "find_spec", + lambda name: object() if name == "funasr" else None, + ) + + checks = doctor._check_transcribe({"transcribe": {"asr": "sensevoice"}}) + + dependency_checks = [check for check in checks if check.name == "sensevoice.dependencies"] + assert len(dependency_checks) == 1 + assert dependency_checks[0].status == "error" + assert "torch, torchaudio" in dependency_checks[0].message diff --git a/uv.lock b/uv.lock index 3641d53a7..850b286d0 100644 --- a/uv.lock +++ b/uv.lock @@ -2,9 +2,15 @@ version = 1 revision = 3 requires-python = ">=3.10, <3.13" resolution-markers = [ - "sys_platform == 'win32'", - "sys_platform == 'darwin'", - "sys_platform == 'linux'", + "python_full_version >= '3.12' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version < '3.11' and sys_platform == 'win32'", + "python_full_version >= '3.12' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and sys_platform == 'darwin'", + "python_full_version < '3.11' and sys_platform == 'darwin'", + "python_full_version >= '3.12' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform == 'linux'", ] supported-markers = [ "sys_platform == 'win32'", @@ -32,14 +38,14 @@ name = "aiohttp" version = 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name = "multidict", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "propcache", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "idna" }, + { name = "multidict" }, + { name = "propcache" }, ] sdist = { url = "https://files.pythonhosted.org/packages/79/12/1e8f37460ea0f7eb59c221fdaf0ed75e7ac43e97f8093b9c6f411df50a78/yarl-1.24.2.tar.gz", hash = "sha256:9ac374123c6fd7abf64d1fec93962b0bd4ee2c19751755a762a72dd96c0378f8", size = 210798, upload-time = "2026-05-19T21:31:05.599Z" } wheels = [ diff --git a/videocaptioner/cli/commands/doctor.py b/videocaptioner/cli/commands/doctor.py index a32802268..5ead9226d 100644 --- a/videocaptioner/cli/commands/doctor.py +++ b/videocaptioner/cli/commands/doctor.py @@ -10,6 +10,7 @@ from videocaptioner.cli import exit_codes as EXIT from videocaptioner.cli.config import CONFIG_FILE, DEFAULTS, get +from videocaptioner.cli.validators import missing_sensevoice_dependencies from videocaptioner.core.dubbing.presets import ( get_dubbing_preset, normalize_dubbing_voice, @@ -125,6 +126,15 @@ def _check_transcribe(config: dict) -> list[Check]: checks.append(Check("whisper_api.api_key", "error", "Whisper API key is missing", "Run 'videocaptioner config set whisper_api.api_key '")) if asr == "whisper-cpp" and not any(shutil.which(n) for n in ["whisper-cpp", "whisper", "whisper-cpp-main"]): checks.append(Check("whisper-cpp", "error", "whisper.cpp binary not found", "Install whisper.cpp or choose --asr bijian/whisper-api")) + if asr == "sensevoice" and (missing := missing_sensevoice_dependencies()): + checks.append( + Check( + "sensevoice.dependencies", + "error", + f"SenseVoice dependencies are not installed: {', '.join(missing)}", + "Install SenseVoice support with: pip install 'videocaptioner[sensevoice]'", + ) + ) return checks diff --git a/videocaptioner/cli/commands/transcribe.py b/videocaptioner/cli/commands/transcribe.py index e2df297cb..80412a410 100644 --- a/videocaptioner/cli/commands/transcribe.py +++ b/videocaptioner/cli/commands/transcribe.py @@ -82,6 +82,7 @@ def run(args: Namespace, config: dict) -> int: "bijian": TranscribeModelEnum.BIJIAN, "jianying": TranscribeModelEnum.JIANYING, "whisper-cpp": TranscribeModelEnum.WHISPER_CPP, + "sensevoice": TranscribeModelEnum.SENSEVOICE, } # Map CLI string values to enums @@ -117,6 +118,11 @@ def run(args: Namespace, config: dict) -> int: whisper_api_base=get(config, "whisper_api.api_base", ""), whisper_api_model=get(config, "whisper_api.model", "whisper-1"), whisper_api_prompt=get(config, "whisper_api.prompt", ""), + # SenseVoice options + sensevoice_model=get( + config, "transcribe.sensevoice.model", "iic/SenseVoiceSmall" + ), + sensevoice_device=get(config, "transcribe.sensevoice.device", "auto"), ) diff --git a/videocaptioner/cli/config.py b/videocaptioner/cli/config.py index 965ba6dfe..248e1263d 100644 --- a/videocaptioner/cli/config.py +++ b/videocaptioner/cli/config.py @@ -42,6 +42,8 @@ "VIDEOCAPTIONER_LLM_MODEL": "llm.model", "VIDEOCAPTIONER_WHISPER_API_KEY": "whisper_api.api_key", "VIDEOCAPTIONER_WHISPER_API_BASE": "whisper_api.api_base", + "VIDEOCAPTIONER_SENSEVOICE_MODEL": "transcribe.sensevoice.model", + "VIDEOCAPTIONER_SENSEVOICE_DEVICE": "transcribe.sensevoice.device", "VIDEOCAPTIONER_DEEPLX_ENDPOINT": "translate.deeplx_endpoint", "VIDEOCAPTIONER_TARGET_LANG": "translate.target_language", "VIDEOCAPTIONER_DUBBING_PROVIDER": "dubbing.provider", @@ -88,6 +90,10 @@ "whisper_cpp": { "model": "large-v2", }, + "sensevoice": { + "model": "iic/SenseVoiceSmall", + "device": "auto", + }, }, "subtitle": { "optimize": True, diff --git a/videocaptioner/cli/main.py b/videocaptioner/cli/main.py index b495de9bf..39ddc6708 100644 --- a/videocaptioner/cli/main.py +++ b/videocaptioner/cli/main.py @@ -112,10 +112,10 @@ def _build_transcribe_parser(subparsers) -> None: asr = p.add_argument_group("ASR options") asr.add_argument( "--asr", - choices=["bijian", "jianying", "whisper-api", "whisper-cpp"], + choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], help="ASR engine (default: bijian). " "bijian/jianying: free, no setup, Chinese & English only. " - "For other languages use whisper-api or whisper-cpp", + "For local Chinese, Cantonese, English, Japanese, or Korean use sensevoice", ) asr.add_argument("--language", metavar="CODE", help="Source language as ISO 639-1 code, or 'auto' (default: auto)") @@ -129,6 +129,10 @@ def _build_transcribe_parser(subparsers) -> None: asr.add_argument("--whisper-model", metavar="NAME", help="Model name for whisper-api (default: whisper-1) " "or whisper-cpp (default: large-v2)") + asr.add_argument("--sensevoice-model", metavar="NAME", + help="FunASR model name (default: iic/SenseVoiceSmall)") + asr.add_argument("--sensevoice-device", choices=["auto", "cuda", "cpu", "mps"], + help="SenseVoice inference device (default: auto)") # Advanced options (configurable via 'config set', hidden from --help) for arg in ["--fw-model", "--fw-device", "--fw-vad-method", "--fw-prompt", "--whisper-prompt"]: @@ -353,11 +357,14 @@ def _build_process_parser(subparsers) -> None: pipe.add_argument("--dub", action="store_true", help="Generate dubbed audio/video after subtitle processing") pipe.add_argument("--dub-only", action="store_true", help="Output only the dubbed result, skipping subtitle burn/embedding") - pipe.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp"], + pipe.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], help="ASR engine (default: bijian)") pipe.add_argument("--language", metavar="CODE", help="Source language as ISO 639-1 code, or 'auto' (default: auto)") pipe.add_argument("--whisper-api-key", metavar="KEY", help="Whisper API key (for --asr whisper-api)") + pipe.add_argument("--sensevoice-model", metavar="NAME", help="FunASR model name") + pipe.add_argument("--sensevoice-device", choices=["auto", "cuda", "cpu", "mps"], + help="SenseVoice inference device") pipe.add_argument("--translator", choices=["llm", "bing", "google"], help="Translation service (default: bing). bing and google are free") pipe.add_argument("--to", dest="target_language", metavar="CODE", help="Target language BCP 47 code") @@ -455,7 +462,7 @@ def _build_config_parser(subparsers) -> None: init_p.add_argument("--llm-api-key", metavar="KEY", help="LLM API key") init_p.add_argument("--llm-api-base", metavar="URL", help="LLM API base URL") init_p.add_argument("--llm-model", metavar="NAME", help="LLM model") - init_p.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp"], help="Default ASR engine") + init_p.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], help="Default ASR engine") init_p.add_argument("--translator", choices=["llm", "bing", "google"], help="Default translation service") init_p.add_argument("--target-language", "--to", dest="target_language", metavar="CODE", help=argparse.SUPPRESS) init_p.add_argument("--no-optimize", action="store_true", help="Disable AI subtitle polish by default") @@ -549,6 +556,10 @@ def _set(key: str, value) -> None: _set("transcribe.asr", getattr(args, "asr", None)) _set("transcribe.language", getattr(args, "language", None)) + # SenseVoice + _set("transcribe.sensevoice.model", getattr(args, "sensevoice_model", None)) + _set("transcribe.sensevoice.device", getattr(args, "sensevoice_device", None)) + # FasterWhisper _set("transcribe.faster_whisper.model", getattr(args, "fw_model", None)) _set("transcribe.faster_whisper.device", getattr(args, "fw_device", None)) diff --git a/videocaptioner/cli/validators.py b/videocaptioner/cli/validators.py index eb0121067..791728b35 100644 --- a/videocaptioner/cli/validators.py +++ b/videocaptioner/cli/validators.py @@ -4,6 +4,7 @@ BEFORE starting the actual task, so users get clear error messages upfront. """ +import importlib.util import shutil from pathlib import Path @@ -15,6 +16,7 @@ VIDEO_EXTENSIONS = frozenset({"mp4", "mkv", "avi", "mov", "webm", "flv", "wmv", "ts", "m4v", "mpg", "mpeg"}) SUBTITLE_EXTENSIONS = frozenset({".srt", ".ass", ".vtt"}) OUTPUT_EXTENSIONS = frozenset({".srt", ".ass", ".txt", ".json"}) +SENSEVOICE_RUNTIME_DEPENDENCIES = ("funasr", "torch", "torchaudio") def resolve_layout(cli_name: str): @@ -157,6 +159,21 @@ def validate_whisper_cpp() -> bool: return True +def missing_sensevoice_dependencies() -> list[str]: + """Return missing packages required by the optional SenseVoice runtime.""" + return [name for name in SENSEVOICE_RUNTIME_DEPENDENCIES if importlib.util.find_spec(name) is None] + + +def validate_sensevoice() -> bool: + """Check that the complete optional SenseVoice runtime is installed.""" + missing = missing_sensevoice_dependencies() + if missing: + output.error(f"SenseVoice dependencies are not installed: {', '.join(missing)}") + output.hint("Install SenseVoice support: pip install 'videocaptioner[sensevoice]'") + return False + return True + + def validate_transcribe(config: dict) -> bool: """Validate config for transcribe command.""" asr = get(config, "transcribe.asr", "faster-whisper") @@ -167,6 +184,8 @@ def validate_transcribe(config: dict) -> bool: return validate_faster_whisper() if asr == "whisper-cpp": return validate_whisper_cpp() + if asr == "sensevoice": + return validate_sensevoice() # bijian/jianying: no config needed (public endpoints) return True diff --git a/videocaptioner/core/asr/__init__.py b/videocaptioner/core/asr/__init__.py index 1bc9703e2..ff13caaf6 100644 --- a/videocaptioner/core/asr/__init__.py +++ b/videocaptioner/core/asr/__init__.py @@ -2,6 +2,7 @@ from .chunked_asr import ChunkedASR from .faster_whisper import FasterWhisperASR from .jianying import JianYingASR +from .sensevoice import SenseVoiceASR from .status import ASRStatus from .transcribe import transcribe from .whisper_api import WhisperAPI @@ -12,6 +13,7 @@ "ChunkedASR", "FasterWhisperASR", "JianYingASR", + "SenseVoiceASR", "WhisperAPI", "WhisperCppASR", "transcribe", diff --git a/videocaptioner/core/asr/sensevoice.py b/videocaptioner/core/asr/sensevoice.py new file mode 100644 index 000000000..3e2cbfe55 --- /dev/null +++ b/videocaptioner/core/asr/sensevoice.py @@ -0,0 +1,292 @@ +import importlib +import re +import threading +from io import BytesIO +from pathlib import Path +from tempfile import TemporaryDirectory +from typing import Any, Callable, ClassVar, Optional, Union + +from pydub import AudioSegment + +from ..utils.logger import setup_logger +from .asr_data import ASRDataSeg +from .base import BaseASR + +logger = setup_logger("sensevoice") + + +class SenseVoiceASR(BaseASR): + """Local SenseVoice inference through the optional FunASR runtime.""" + + DEFAULT_MODEL = "iic/SenseVoiceSmall" + SENTENCE_ENDINGS = frozenset(".!?。！？") + MAX_SENTENCE_DURATION_MS = 10_000 + SILENCE_SPLIT_MS = 1_200 + _RICH_TAG_PATTERN = re.compile(r"<\|[^|]*\|>") + _NO_SPACE_BEFORE = frozenset(".,!?;:%)]}，。！？；：、…'’") + _NO_SPACE_AFTER = frozenset("([{'‘“") + + _model_cache: ClassVar[dict[tuple[str, str], Any]] = {} + _model_cache_lock: ClassVar[threading.Lock] = threading.Lock() + _inference_locks: ClassVar[dict[tuple[str, str], threading.Lock]] = {} + + def __init__( + self, + audio_input: Union[str, bytes], + model: str = DEFAULT_MODEL, + device: str = "auto", + language: str = "auto", + use_cache: bool = False, + need_word_time_stamp: bool = False, + ): + super().__init__(audio_input, use_cache, need_word_time_stamp) + self.model_name = model or self.DEFAULT_MODEL + self.device = device or "auto" + self.language = language or "auto" + self.need_word_time_stamp = need_word_time_stamp + + @staticmethod + def _resolve_device(device: str) -> str: + if device != "auto": + return device + + try: + torch = importlib.import_module("torch") + except ImportError: + return "cpu" + + if torch.cuda.is_available(): + return "cuda" + if hasattr(torch.backends, "mps") and torch.backends.mps.is_available(): + return "mps" + return "cpu" + + def _create_model(self, device: str): + try: + AutoModel = importlib.import_module("funasr").AutoModel + except ImportError as exc: + raise RuntimeError( + "SenseVoice requires the optional FunASR runtime. " + "Install it with: pip install 'videocaptioner[sensevoice]'" + ) from exc + + return AutoModel( + model=self.model_name, + vad_model="fsmn-vad", + vad_kwargs={"max_single_segment_time": 30_000}, + device=device, + disable_update=True, + disable_pbar=True, + ) + + def _get_model(self): + device = self._resolve_device(self.device) + cache_key = (self.model_name, device) + with self._model_cache_lock: + if cache_key not in self._model_cache: + logger.info("Loading SenseVoice model %s on %s", self.model_name, device) + self._model_cache[cache_key] = self._create_model(device) + self._inference_locks.setdefault(cache_key, threading.Lock()) + return self._model_cache[cache_key] + + @classmethod + def _get_inference_lock(cls, model: str, device: str) -> threading.Lock: + cache_key = (model, device) + with cls._model_cache_lock: + return cls._inference_locks.setdefault(cache_key, threading.Lock()) + + def _run(self, callback: Optional[Callable[[int, str], None]] = None, **kwargs: Any) -> dict: + def default_callback(_progress: int, _message: str) -> None: + pass + + progress_handler = callback or default_callback + + progress_handler(5, "Loading SenseVoice model") + device = self._resolve_device(self.device) + model = self._get_model() + + def progress_callback(current: int, total: int) -> None: + if total > 0: + progress = min(95, 5 + int(current / total * 90)) + progress_handler(progress, "Transcribing with SenseVoice") + + def generate(audio_input: str) -> list[dict]: + with self._get_inference_lock(self.model_name, device): + return model.generate( + input=audio_input, + cache={}, + language=self.language, + use_itn=True, + batch_size_s=60, + merge_vad=True, + merge_length_s=15, + output_timestamp=True, + return_time_stamps=True, + progress_callback=progress_callback, + ) + + if isinstance(self.audio_input, bytes): + with TemporaryDirectory() as temp_dir: + wav_path = Path(temp_dir) / "sensevoice_input.wav" + audio = AudioSegment.from_file(BytesIO(self.audio_input)) + audio.set_channels(1).set_frame_rate(16_000).export(wav_path, format="wav") + results = generate(str(wav_path)) + elif isinstance(self.audio_input, str): + results = generate(self.audio_input) + else: + raise ValueError("audio_input must be provided as string or bytes") + + progress_handler(100, "SenseVoice transcription completed") + return {"results": results or []} + + @classmethod + def _clean_text(cls, text: str) -> str: + try: + postprocess = importlib.import_module("funasr.utils.postprocess_utils") + except ImportError: + return cls._RICH_TAG_PATTERN.sub("", text or "").strip() + return postprocess.rich_transcription_postprocess(text or "").strip() + + @staticmethod + def _timestamp_pair_ms(timestamp: Any) -> Optional[tuple[int, int]]: + if isinstance(timestamp, dict): + start = timestamp.get("start_time", timestamp.get("start")) + end = timestamp.get("end_time", timestamp.get("end")) + if start is None or end is None: + return None + start_ms = int(float(start) * 1000) + end_ms = int(float(end) * 1000) + elif isinstance(timestamp, (list, tuple)) and len(timestamp) >= 2: + start_ms = int(timestamp[0]) + end_ms = int(timestamp[1]) + else: + return None + + if start_ms < 0 or end_ms <= start_ms: + return None + return start_ms, end_ms + + @classmethod + def _aligned_words(cls, result: dict) -> list[tuple[str, int, int]]: + words = result.get("words") or [] + timestamps = result.get("timestamp") or result.get("timestamps") or [] + if len(words) != len(timestamps): + return [] + + aligned = [] + for word, timestamp in zip(words, timestamps): + pair = cls._timestamp_pair_ms(timestamp) + text = cls._RICH_TAG_PATTERN.sub("", str(word)).strip() + if pair is None or not text: + continue + aligned.append((text, pair[0], pair[1])) + return aligned if len(aligned) == len(words) else [] + + @staticmethod + def _is_cjk(char: str) -> bool: + return any( + start <= ord(char) <= end + for start, end in ( + (0x3040, 0x30FF), + (0x3400, 0x4DBF), + (0x4E00, 0x9FFF), + (0xAC00, 0xD7AF), + ) + ) + + @classmethod + def _join_words(cls, words: list[str]) -> str: + text = "" + for word in words: + if not text: + text = word + elif ( + word[0] in cls._NO_SPACE_BEFORE + or text[-1] in cls._NO_SPACE_AFTER + or (cls._is_cjk(text[-1]) and cls._is_cjk(word[0])) + ): + text += word + else: + text += f" {word}" + return text.strip() + + @classmethod + def _group_words(cls, words: list[tuple[str, int, int]]) -> list[ASRDataSeg]: + segments = [] + current: list[tuple[str, int, int]] = [] + + def flush() -> None: + if not current: + return + segments.append( + ASRDataSeg( + text=cls._join_words([word for word, _, _ in current]), + start_time=current[0][1], + end_time=current[-1][2], + ) + ) + current.clear() + + for word in words: + if current and word[1] - current[-1][2] >= cls.SILENCE_SPLIT_MS: + flush() + + current.append(word) + duration = current[-1][2] - current[0][1] + if word[0][-1] in cls.SENTENCE_ENDINGS or duration >= cls.MAX_SENTENCE_DURATION_MS: + flush() + + flush() + return segments + + @classmethod + def _timestamp_bounds_ms(cls, result: dict) -> Optional[tuple[int, int]]: + timestamps = result.get("timestamp") or result.get("timestamps") or [] + pairs = [cls._timestamp_pair_ms(timestamp) for timestamp in timestamps] + valid_pairs = [pair for pair in pairs if pair is not None] + if not valid_pairs: + return None + return min(pair[0] for pair in valid_pairs), max(pair[1] for pair in valid_pairs) + + def _make_segments(self, resp_data: dict) -> list[ASRDataSeg]: + segments = [] + for result in resp_data.get("results", []): + aligned_words = self._aligned_words(result) + if aligned_words: + if self.need_word_time_stamp: + segments.extend( + ASRDataSeg(text=word, start_time=start, end_time=end) + for word, start, end in aligned_words + ) + else: + segments.extend(self._group_words(aligned_words)) + continue + + sentence_info = result.get("sentence_info") or [] + sentence_start = len(segments) + for sentence in sentence_info: + text = self._clean_text(sentence.get("sentence") or sentence.get("text", "")) + start = int(sentence.get("start", 0) or 0) + end = int(sentence.get("end", 0) or 0) + if text and end > start: + segments.append(ASRDataSeg(text=text, start_time=start, end_time=end)) + + if len(segments) > sentence_start: + continue + + text = self._clean_text(result.get("text", "")) + if not text: + continue + start, end = self._timestamp_bounds_ms(result) or ( + 0, + max(1, int(self.audio_duration * 1000)), + ) + segments.append(ASRDataSeg(text=text, start_time=start, end_time=end)) + + return segments + + def _get_key(self) -> str: + return ( + f"{self.crc32_hex}-{self.model_name}-{self.device}-{self.language}-" + f"{self.need_word_time_stamp}" + ) diff --git a/videocaptioner/core/asr/transcribe.py b/videocaptioner/core/asr/transcribe.py index 4757097ed..1565a821b 100644 --- a/videocaptioner/core/asr/transcribe.py +++ b/videocaptioner/core/asr/transcribe.py @@ -3,6 +3,7 @@ from videocaptioner.core.asr.chunked_asr import ChunkedASR from videocaptioner.core.asr.faster_whisper import FasterWhisperASR from videocaptioner.core.asr.jianying import JianYingASR +from videocaptioner.core.asr.sensevoice import SenseVoiceASR from videocaptioner.core.asr.whisper_api import WhisperAPI from videocaptioner.core.asr.whisper_cpp import WhisperCppASR from videocaptioner.core.entities import TranscribeConfig, TranscribeModelEnum @@ -69,6 +70,9 @@ def _create_asr_instance(audio_path: str, config: TranscribeConfig) -> ChunkedAS elif model_type == TranscribeModelEnum.FASTER_WHISPER: return _create_faster_whisper_asr(audio_path, config) + elif model_type == TranscribeModelEnum.SENSEVOICE: + return _create_sensevoice_asr(audio_path, config) + else: raise ValueError(f"Invalid transcription model: {model_type}") @@ -158,6 +162,24 @@ def _create_faster_whisper_asr(audio_path: str, config: TranscribeConfig) -> Chu ) +def _create_sensevoice_asr(audio_path: str, config: TranscribeConfig) -> ChunkedASR: + """Create a local SenseVoice ASR instance with chunking support.""" + asr_kwargs = { + "use_cache": True, + "need_word_time_stamp": config.need_word_time_stamp, + "language": config.transcribe_language or "auto", + "model": config.sensevoice_model or SenseVoiceASR.DEFAULT_MODEL, + "device": config.sensevoice_device, + } + return ChunkedASR( + asr_class=SenseVoiceASR, + audio_path=audio_path, + asr_kwargs=asr_kwargs, + chunk_concurrency=1, + chunk_length=60 * 20, + ) + + if __name__ == "__main__": # 示例用法 from videocaptioner.core.entities import WhisperModelEnum diff --git a/videocaptioner/core/entities.py b/videocaptioner/core/entities.py index 7d2ea52a6..31febd2df 100644 --- a/videocaptioner/core/entities.py +++ b/videocaptioner/core/entities.py @@ -121,6 +121,7 @@ class TranscribeModelEnum(Enum): WHISPER_API = "Whisper [API] ✨" FASTER_WHISPER = "FasterWhisper ✨" WHISPER_CPP = "WhisperCpp" + SENSEVOICE = "SenseVoice [FunASR] ✨" class TranslatorServiceEnum(Enum): @@ -505,6 +506,16 @@ def _get_all_languages_except_auto() -> list[TranscribeLanguageEnum]: supported_languages=_get_all_languages_except_auto(), supports_auto=True, ), + TranscribeModelEnum.SENSEVOICE: ASRLanguageCapability( + supported_languages=[ + TranscribeLanguageEnum.CHINESE, + TranscribeLanguageEnum.ENGLISH, + TranscribeLanguageEnum.YUE, + TranscribeLanguageEnum.JAPANESE, + TranscribeLanguageEnum.KOREAN, + ], + supports_auto=True, + ), } @@ -573,6 +584,9 @@ class TranscribeConfig: faster_whisper_ff_mdx_kim2: bool = False faster_whisper_one_word: bool = True faster_whisper_prompt: Optional[str] = None + # SenseVoice 配置 + sensevoice_model: str = "iic/SenseVoiceSmall" + sensevoice_device: str = "auto" def _mask_key(self, key: Optional[str]) -> str: """Mask sensitive key for display""" @@ -617,6 +631,10 @@ def print_config(self) -> str: f"Model: {self.whisper_model.value if self.whisper_model else 'None'}" ) + elif self.transcribe_model == TranscribeModelEnum.SENSEVOICE: + lines.append(f"Model: {self.sensevoice_model}") + lines.append(f"Device: {self.sensevoice_device}") + lines.append("=" * 42) return "\n".join(lines) diff --git a/videocaptioner/ui/common/config.py b/videocaptioner/ui/common/config.py index 3aeb3d33e..31412fe32 100644 --- a/videocaptioner/ui/common/config.py +++ b/videocaptioner/ui/common/config.py @@ -214,6 +214,15 @@ class Config(QConfig): # 提示词 faster_whisper_prompt = ConfigItem("FasterWhisper", "Prompt", "") + # ------------------- SenseVoice 配置 ------------------- + sensevoice_model = ConfigItem("SenseVoice", "Model", "iic/SenseVoiceSmall") + sensevoice_device = OptionsConfigItem( + "SenseVoice", + "Device", + "auto", + OptionsValidator(["auto", "cuda", "cpu", "mps"]), + ) + # ------------------- Whisper API 配置 ------------------- whisper_api_base = ConfigItem("WhisperAPI", "WhisperApiBase", "") whisper_api_key = ConfigItem("WhisperAPI", "WhisperApiKey", "") diff --git a/videocaptioner/ui/task_factory.py b/videocaptioner/ui/task_factory.py index 8b68e42b9..cf1a83f4c 100644 --- a/videocaptioner/ui/task_factory.py +++ b/videocaptioner/ui/task_factory.py @@ -93,6 +93,9 @@ def create_transcribe_task( faster_whisper_ff_mdx_kim2=cfg.faster_whisper_ff_mdx_kim2.value, faster_whisper_one_word=cfg.faster_whisper_one_word.value, faster_whisper_prompt=cfg.faster_whisper_prompt.value, + # SenseVoice 配置 + sensevoice_model=cfg.sensevoice_model.value, + sensevoice_device=cfg.sensevoice_device.value, ) task = TranscribeTask( diff --git a/videocaptioner/ui/view/setting_interface.py b/videocaptioner/ui/view/setting_interface.py index e862a2087..d85d6b970 100644 --- a/videocaptioner/ui/view/setting_interface.py +++ b/videocaptioner/ui/view/setting_interface.py @@ -481,11 +481,30 @@ def __createASRServiceCards(self): self.transcribeGroup, ) + self.senseVoiceModelCard = LineEditSettingCard( + cfg.sensevoice_model, + FIF.ROBOT, # type: ignore + self.tr("SenseVoice 模型"), + self.tr("输入 FunASR 模型名称或本地路径"), + "iic/SenseVoiceSmall", + self.transcribeGroup, + ) + self.senseVoiceDeviceCard = ComboBoxSettingCard( + cfg.sensevoice_device, + FIF.SPEED_HIGH, + self.tr("SenseVoice 设备"), + self.tr("选择本地推理设备"), + texts=["auto", "cuda", "cpu", "mps"], + parent=self.transcribeGroup, + ) + # 默认隐藏 Whisper API 配置卡片（仅在选择 Whisper API 时显示） self.whisperApiBaseCard.setVisible(False) self.whisperApiKeyCard.setVisible(False) self.whisperApiModelCard.setVisible(False) self.checkWhisperConnectionCard.setVisible(False) + self.senseVoiceModelCard.setVisible(False) + self.senseVoiceDeviceCard.setVisible(False) def __createTranslateServiceCards(self): """创建翻译服务相关的配置卡片""" @@ -602,6 +621,8 @@ def __initLayout(self): self.transcribeGroup.addSettingCard(self.whisperApiKeyCard) self.transcribeGroup.addSettingCard(self.whisperApiModelCard) self.transcribeGroup.addSettingCard(self.checkWhisperConnectionCard) + self.transcribeGroup.addSettingCard(self.senseVoiceModelCard) + self.transcribeGroup.addSettingCard(self.senseVoiceDeviceCard) # 添加LLM配置卡片 self.llmGroup.addSettingCard(self.llmServiceCard) @@ -898,6 +919,11 @@ def __onTranscribeModelChanged(self, model_name): for card in whisper_api_cards: card.setVisible(is_whisper_api) + sensevoice_cards = [self.senseVoiceModelCard, self.senseVoiceDeviceCard] + is_sensevoice = model_name == TranscribeModelEnum.SENSEVOICE.value + for card in sensevoice_cards: + card.setVisible(is_sensevoice) + # 更新布局 self.transcribeGroup.adjustSize() self.expandLayout.update() From 658b2ee34b33861617708464269066ce57114adf Mon Sep 17 00:00:00 2001 From: zhifu gao Date: Tue, 14 Jul 2026 20:08:04 +0000 Subject: [PATCH 2/3] fix(asr): hide unavailable SenseVoice runtime --- tests/test_asr/test_platform_utils.py | 24 ++++++++++++++++ tests/test_cli/test_config.py | 31 +++++++++++++++++++++ videocaptioner/core/utils/platform_utils.py | 21 +++++++------- 3 files changed, 65 insertions(+), 11 deletions(-) create mode 100644 tests/test_asr/test_platform_utils.py diff --git a/tests/test_asr/test_platform_utils.py b/tests/test_asr/test_platform_utils.py new file mode 100644 index 000000000..043a6ce46 --- /dev/null +++ b/tests/test_asr/test_platform_utils.py @@ -0,0 +1,24 @@ +import importlib.util + +from videocaptioner.core.entities import TranscribeModelEnum +from videocaptioner.core.utils import platform_utils + + +def test_sensevoice_is_hidden_when_runtime_is_incomplete(monkeypatch): + monkeypatch.setattr(platform_utils, "is_macos", lambda: False) + monkeypatch.setattr( + importlib.util, + "find_spec", + lambda name: object() if name in {"funasr", "torch"} else None, + ) + + assert TranscribeModelEnum.SENSEVOICE not in platform_utils.get_available_transcribe_models() + assert platform_utils.is_model_available(TranscribeModelEnum.SENSEVOICE) is False + + +def test_sensevoice_is_available_when_runtime_is_complete(monkeypatch): + monkeypatch.setattr(platform_utils, "is_macos", lambda: False) + monkeypatch.setattr(importlib.util, "find_spec", lambda _name: object()) + + assert TranscribeModelEnum.SENSEVOICE in platform_utils.get_available_transcribe_models() + assert platform_utils.is_model_available(TranscribeModelEnum.SENSEVOICE) is True diff --git a/tests/test_cli/test_config.py b/tests/test_cli/test_config.py index a9f156980..b49940e4d 100644 --- a/tests/test_cli/test_config.py +++ b/tests/test_cli/test_config.py @@ -130,6 +130,26 @@ def test_save_and_load(self, tmp_path): assert loaded["subtitle"]["thread_num"] == 8 assert loaded["subtitle"]["optimize"] is False + def test_sensevoice_settings_save_and_load(self, tmp_path): + config_file = tmp_path / "config.toml" + + save_config_value( + "transcribe.sensevoice.model", + "iic/SenseVoiceSmall", + config_path=config_file, + ) + save_config_value( + "transcribe.sensevoice.device", + "cpu", + config_path=config_file, + ) + + loaded = load_config_file(config_file) + assert loaded["transcribe"]["sensevoice"] == { + "model": "iic/SenseVoiceSmall", + "device": "cpu", + } + class TestBuildConfig: def test_defaults_only(self): @@ -162,3 +182,14 @@ def test_env_values_are_typed(self, monkeypatch): assert overrides["dubbing"]["tts_workers"] == 3 assert overrides["dubbing"]["rewrite_too_long"] is True assert overrides["dubbing"]["mix_original_audio"] is False + + def test_sensevoice_env_overrides(self, monkeypatch): + monkeypatch.setenv("VIDEOCAPTIONER_SENSEVOICE_MODEL", "iic/SenseVoiceSmall") + monkeypatch.setenv("VIDEOCAPTIONER_SENSEVOICE_DEVICE", "cpu") + + overrides = load_env_overrides() + + assert overrides["transcribe"]["sensevoice"] == { + "model": "iic/SenseVoiceSmall", + "device": "cpu", + } diff --git a/videocaptioner/core/utils/platform_utils.py b/videocaptioner/core/utils/platform_utils.py index 4b6383e66..b0df715b6 100644 --- a/videocaptioner/core/utils/platform_utils.py +++ b/videocaptioner/core/utils/platform_utils.py @@ -2,6 +2,7 @@ 跨平台工具函数 """ +import importlib.util import logging import os import platform @@ -11,6 +12,8 @@ logger = logging.getLogger(__name__) +SENSEVOICE_RUNTIME_DEPENDENCIES = ("funasr", "torch", "torchaudio") + def open_folder(path): """ @@ -130,20 +133,12 @@ def get_available_transcribe_models() -> list[TranscribeModelEnum]: """ 获取当前平台可用的转录模型列表 - macOS 上不支持 FasterWhisper，因为它依赖 CUDA/CuDNN + macOS 上不支持 FasterWhisper；SenseVoice 需要完整的可选运行时依赖。 Returns: list[TranscribeModelEnum]: 可用的转录模型列表 """ - all_models = list(TranscribeModelEnum) - - # macOS 上过滤掉 FasterWhisper - if is_macos(): - return [ - model for model in all_models if model != TranscribeModelEnum.FASTER_WHISPER - ] - - return all_models + return [model for model in TranscribeModelEnum if is_model_available(model)] def is_model_available(model: TranscribeModelEnum) -> bool: @@ -156,8 +151,12 @@ def is_model_available(model: TranscribeModelEnum) -> bool: Returns: bool: 如果模型可用返回 True，否则返回 False """ - # FasterWhisper 在 macOS 上不可用 if is_macos() and model == TranscribeModelEnum.FASTER_WHISPER: return False + if model == TranscribeModelEnum.SENSEVOICE: + return all( + importlib.util.find_spec(name) is not None for name in SENSEVOICE_RUNTIME_DEPENDENCIES + ) + return True From aeaa7de5e6cafab6655b0210920b64c6027a6f7f Mon Sep 17 00:00:00 2001 From: LauraGPT <41898282+LauraGPT@users.noreply.github.com> Date: Sun, 19 Jul 2026 03:01:13 +0000 Subject: [PATCH 3/3] test(asr): keep SenseVoice checks runtime-agnostic --- tests/test_asr/test_sensevoice_asr.py | 8 +- tests/test_cli/test_parser.py | 89 +++-- videocaptioner/cli/commands/doctor.py | 152 +++++++- videocaptioner/cli/commands/transcribe.py | 14 +- videocaptioner/cli/config.py | 8 +- videocaptioner/cli/main.py | 430 ++++++++++++++++------ videocaptioner/cli/validators.py | 29 +- videocaptioner/core/asr/transcribe.py | 12 +- videocaptioner/core/entities.py | 32 +- 9 files changed, 558 insertions(+), 216 deletions(-) diff --git a/tests/test_asr/test_sensevoice_asr.py b/tests/test_asr/test_sensevoice_asr.py index 46391e3e8..5266bbb4e 100644 --- a/tests/test_asr/test_sensevoice_asr.py +++ b/tests/test_asr/test_sensevoice_asr.py @@ -1,4 +1,4 @@ -import builtins +import importlib from pathlib import Path import pytest @@ -142,14 +142,14 @@ def generate(self, **kwargs): def test_missing_optional_dependency_has_install_hint(test_audio_path_zh, monkeypatch): asr = SenseVoiceASR(str(test_audio_path_zh), device="cpu") - real_import = builtins.__import__ + real_import_module = importlib.import_module def import_without_funasr(name, *args, **kwargs): if name == "funasr": raise ModuleNotFoundError("No module named 'funasr'") - return real_import(name, *args, **kwargs) + return real_import_module(name, *args, **kwargs) - monkeypatch.setattr(builtins, "__import__", import_without_funasr) + monkeypatch.setattr(importlib, "import_module", import_without_funasr) with pytest.raises(RuntimeError, match=r"videocaptioner\[sensevoice\]"): asr._create_model("cpu") diff --git a/tests/test_cli/test_parser.py b/tests/test_cli/test_parser.py index 903ad5f2c..93bd41aef 100644 --- a/tests/test_cli/test_parser.py +++ b/tests/test_cli/test_parser.py @@ -13,6 +13,7 @@ class TestMainParser: def test_no_args_tries_gui(self, monkeypatch): # No args: tries to launch GUI. Mock GUI import to avoid opening it in tests. import builtins + original_import = builtins.__import__ def mock_import(name, *args, **kwargs): @@ -136,28 +137,34 @@ def test_file_not_found(self): class TestProcessParser: def test_dub_options_parse_with_missing_input(self): - result = main([ - "process", - "/no/video.mp4", - "--dub-only", - "--dub-provider", - "siliconflow", - "--dub-preset", - "siliconflow-cn-female", - "--tts-model", - "FunAudioLLM/CosyVoice2-0.5B", - "--voice", - "FunAudioLLM/CosyVoice2-0.5B:anna", - ]) + result = main( + [ + "process", + "/no/video.mp4", + "--dub-only", + "--dub-provider", + "siliconflow", + "--dub-preset", + "siliconflow-cn-female", + "--tts-model", + "FunAudioLLM/CosyVoice2-0.5B", + "--voice", + "FunAudioLLM/CosyVoice2-0.5B:anna", + ] + ) assert result == EXIT.FILE_NOT_FOUND def test_process_dub_final_output_defaults_to_dubbed_captioned(self, tmp_path): - result = _resolve_final_output_path(None, tmp_path, tmp_path / "talk.mp4", True, False, False) + result = _resolve_final_output_path( + None, tmp_path, tmp_path / "talk.mp4", True, False, False + ) assert result.endswith("talk_dubbed_captioned.mp4") def test_process_dub_only_uses_user_output_file(self, tmp_path): - result = _resolve_final_output_path(str(tmp_path / "final.mp4"), tmp_path, tmp_path / "talk.mp4", True, True, False) + result = _resolve_final_output_path( + str(tmp_path / "final.mp4"), tmp_path, tmp_path / "talk.mp4", True, True, False + ) assert result.endswith("final.mp4") @@ -200,18 +207,20 @@ def test_gemini_clone_fails_before_synthesis(self, tmp_path): ref = tmp_path / "ref.wav" ref.write_bytes(b"not real audio") - result = main([ - "dub", - str(srt), - "--preset", - "gemini-en-friendly", - "--tts-api-key", - "test-key", - "--clone-audio", - str(ref), - "--clone-text", - "Hello", - ]) + result = main( + [ + "dub", + str(srt), + "--preset", + "gemini-en-friendly", + "--tts-api-key", + "test-key", + "--clone-audio", + str(ref), + "--clone-text", + "Hello", + ] + ) assert result == EXIT.USAGE_ERROR @@ -221,16 +230,18 @@ def test_edge_clone_fails_before_synthesis_without_api_key(self, tmp_path): ref = tmp_path / "ref.wav" ref.write_bytes(b"not real audio") - result = main([ - "dub", - str(srt), - "--preset", - "edge-cn-female", - "--clone-audio", - str(ref), - "--clone-text", - "Hello", - ]) + result = main( + [ + "dub", + str(srt), + "--preset", + "edge-cn-female", + "--clone-audio", + str(ref), + "--clone-text", + "Hello", + ] + ) assert result == EXIT.USAGE_ERROR @@ -268,7 +279,9 @@ def test_path(self, capsys): assert "config.toml" in out def test_init_print_template(self, capsys): - result = main(["config", "init", "--non-interactive", "--print-template", "--profile", "dubbing"]) + result = main( + ["config", "init", "--non-interactive", "--print-template", "--profile", "dubbing"] + ) assert result == EXIT.SUCCESS out = capsys.readouterr().out assert "[dubbing]" in out diff --git a/videocaptioner/cli/commands/doctor.py b/videocaptioner/cli/commands/doctor.py index 5ead9226d..c5ed08b61 100644 --- a/videocaptioner/cli/commands/doctor.py +++ b/videocaptioner/cli/commands/doctor.py @@ -38,7 +38,11 @@ def run(args: Namespace, config: dict) -> int: def _run_checks(config: dict, *, check_api: bool = False) -> list[Check]: checks: list[Check] = [] checks.append(_check_python()) - checks.append(_check_command("ffmpeg", "Required for audio extraction, timing fit, muxing, and hard subtitles.")) + checks.append( + _check_command( + "ffmpeg", "Required for audio extraction, timing fit, muxing, and hard subtitles." + ) + ) checks.append(_check_command("ffprobe", "Required for media duration checks.")) checks.append(_check_ytdlp()) checks.append(_check_config_file()) @@ -60,7 +64,12 @@ def _check_python() -> Check: def _check_command(name: str, purpose: str) -> Check: path = shutil.which(name) if not path: - return Check(name, "error", f"{name} not found. {purpose}", f"Install {name} and make sure it is on PATH") + return Check( + name, + "error", + f"{name} not found. {purpose}", + f"Install {name} and make sure it is on PATH", + ) version = _command_version(name) return Check(name, "ok", f"{path}" + (f" ({version})" if version else "")) @@ -70,16 +79,28 @@ def _check_ytdlp() -> Check: if path: version = _command_version("yt-dlp") if version and _yt_dlp_version_is_old(version): - return Check("yt-dlp", "warn", f"{path} ({version}) may be old", "Update yt-dlp if online downloads fail") + return Check( + "yt-dlp", + "warn", + f"{path} ({version}) may be old", + "Update yt-dlp if online downloads fail", + ) return Check("yt-dlp", "ok", f"{path}" + (f" ({version})" if version else "")) try: import yt_dlp import yt_dlp.version version = getattr(yt_dlp.version, "__version__", "") - return Check("yt-dlp", "ok", "embedded yt_dlp module" + (f" ({version})" if version else "")) + return Check( + "yt-dlp", "ok", "embedded yt_dlp module" + (f" ({version})" if version else "") + ) except Exception: - return Check("yt-dlp", "error", "yt-dlp not found. Required by videocaptioner download.", "Install yt-dlp and make sure it is on PATH") + return Check( + "yt-dlp", + "error", + "yt-dlp not found. Required by videocaptioner download.", + "Install yt-dlp and make sure it is on PATH", + ) def _yt_dlp_version_is_old(version: str) -> bool: @@ -123,9 +144,25 @@ def _check_transcribe(config: dict) -> list[Check]: asr = get(config, "transcribe.asr", "bijian") checks = [Check("transcribe.asr", "ok", f"default ASR: {asr}")] if asr == "whisper-api" and not get(config, "whisper_api.api_key", ""): - checks.append(Check("whisper_api.api_key", "error", "Whisper API key is missing", "Run 'videocaptioner config set whisper_api.api_key '")) - if asr == "whisper-cpp" and not any(shutil.which(n) for n in ["whisper-cpp", "whisper", "whisper-cpp-main"]): - checks.append(Check("whisper-cpp", "error", "whisper.cpp binary not found", "Install whisper.cpp or choose --asr bijian/whisper-api")) + checks.append( + Check( + "whisper_api.api_key", + "error", + "Whisper API key is missing", + "Run 'videocaptioner config set whisper_api.api_key '", + ) + ) + if asr == "whisper-cpp" and not any( + shutil.which(n) for n in ["whisper-cpp", "whisper", "whisper-cpp-main"] + ): + checks.append( + Check( + "whisper-cpp", + "error", + "whisper.cpp binary not found", + "Install whisper.cpp or choose --asr bijian/whisper-api", + ) + ) if asr == "sensevoice" and (missing := missing_sensevoice_dependencies()): checks.append( Check( @@ -144,11 +181,31 @@ def _check_subtitle(config: dict) -> list[Check]: split = bool(get(config, "subtitle.split", True)) translator = get(config, "translate.service", "bing") needs_llm = optimize or split or translator == "llm" - checks.append(Check("subtitle.processing", "ok", f"ai_polish={optimize}, split={split}, translator={translator}")) + checks.append( + Check( + "subtitle.processing", + "ok", + f"ai_polish={optimize}, split={split}, translator={translator}", + ) + ) if needs_llm and not get(config, "llm.api_key", ""): - checks.append(Check("llm.api_key", "warn", "LLM API key is missing; AI polish/split/LLM translation will fail", "Run 'videocaptioner config set llm.api_key ' or disable AI polish/split")) + checks.append( + Check( + "llm.api_key", + "warn", + "LLM API key is missing; AI polish/split/LLM translation will fail", + "Run 'videocaptioner config set llm.api_key ' or disable AI polish/split", + ) + ) if needs_llm and not get(config, "llm.model", ""): - checks.append(Check("llm.model", "error", "LLM model is missing", "Run 'videocaptioner config set llm.model '")) + checks.append( + Check( + "llm.model", + "error", + "LLM model is missing", + "Run 'videocaptioner config set llm.model '", + ) + ) return checks @@ -166,25 +223,71 @@ def _check_dubbing(config: dict) -> list[Check]: voice = preset.voice checks.append(Check("dubbing.preset", "ok", f"{preset_name} ({provider})")) except ValueError as exc: - checks.append(Check("dubbing.preset", "error", str(exc), "Choose one of the presets shown in 'videocaptioner dub --help'")) + checks.append( + Check( + "dubbing.preset", + "error", + str(exc), + "Choose one of the presets shown in 'videocaptioner dub --help'", + ) + ) else: - checks.append(Check("dubbing.preset", "warn", "No dubbing preset configured", "Run 'videocaptioner config set dubbing.preset edge-cn-female'")) + checks.append( + Check( + "dubbing.preset", + "warn", + "No dubbing preset configured", + "Run 'videocaptioner config set dubbing.preset edge-cn-female'", + ) + ) if provider != "edge" and not get(config, "dubbing.api_key", ""): - checks.append(Check("dubbing.api_key", "warn", "Dubbing TTS API key is missing", "Run 'videocaptioner config set dubbing.api_key '")) + checks.append( + Check( + "dubbing.api_key", + "warn", + "Dubbing TTS API key is missing", + "Run 'videocaptioner config set dubbing.api_key '", + ) + ) if provider not in {"siliconflow", "gemini", "edge"}: - checks.append(Check("dubbing.provider", "error", f"Unsupported provider: {provider}", "Use siliconflow, gemini, or edge")) + checks.append( + Check( + "dubbing.provider", + "error", + f"Unsupported provider: {provider}", + "Use siliconflow, gemini, or edge", + ) + ) normalized_voice = normalize_dubbing_voice(provider, model, voice) voice_error = validate_dubbing_voice(provider, normalized_voice) if voice_error: - checks.append(Check("dubbing.voice", "error", voice_error, "Use a preset or a provider-supported voice")) + checks.append( + Check( + "dubbing.voice", "error", voice_error, "Use a preset or a provider-supported voice" + ) + ) else: checks.append(Check("dubbing.voice", "ok", normalized_voice or "(provider default)")) timing = get(config, "dubbing.timing", "balanced") audio_mode = get(config, "dubbing.audio_mode", "replace") if timing not in {"balanced", "strict", "natural", "none"}: - checks.append(Check("dubbing.timing", "error", f"Invalid timing: {timing}", "Use balanced, strict, natural, or none")) + checks.append( + Check( + "dubbing.timing", + "error", + f"Invalid timing: {timing}", + "Use balanced, strict, natural, or none", + ) + ) if audio_mode not in {"replace", "mix", "duck"}: - checks.append(Check("dubbing.audio_mode", "error", f"Invalid audio mode: {audio_mode}", "Use replace, mix, or duck")) + checks.append( + Check( + "dubbing.audio_mode", + "error", + f"Invalid audio mode: {audio_mode}", + "Use replace, mix, or duck", + ) + ) return checks @@ -192,13 +295,22 @@ def _check_api(config: dict) -> list[Check]: checks: list[Check] = [] if not get(config, "dubbing.api_key", ""): return checks - checks.append(Check("api.dubbing", "warn", "--check-api is currently limited to configuration validation", "Run a short 'videocaptioner dub sample.srt' to verify billing/provider access")) + checks.append( + Check( + "api.dubbing", + "warn", + "--check-api is currently limited to configuration validation", + "Run a short 'videocaptioner dub sample.srt' to verify billing/provider access", + ) + ) return checks def _print_checks(checks: list[Check]) -> None: for check in checks: - prefix = {"ok": "OK", "warn": "WARN", "error": "ERROR"}.get(check.status, check.status.upper()) + prefix = {"ok": "OK", "warn": "WARN", "error": "ERROR"}.get( + check.status, check.status.upper() + ) print(f"{prefix:5} {check.name}: {check.message}") if check.fix: print(f" fix: {check.fix}") diff --git a/videocaptioner/cli/commands/transcribe.py b/videocaptioner/cli/commands/transcribe.py index 80412a410..0fbf5ad8e 100644 --- a/videocaptioner/cli/commands/transcribe.py +++ b/videocaptioner/cli/commands/transcribe.py @@ -44,6 +44,7 @@ def run(args: Namespace, config: dict) -> int: # Validate output format from videocaptioner.cli.validators import validate_output_format + err = validate_output_format(Path(output_path)) if err is not None: return err @@ -119,13 +120,10 @@ def run(args: Namespace, config: dict) -> int: whisper_api_model=get(config, "whisper_api.model", "whisper-1"), whisper_api_prompt=get(config, "whisper_api.prompt", ""), # SenseVoice options - sensevoice_model=get( - config, "transcribe.sensevoice.model", "iic/SenseVoiceSmall" - ), + sensevoice_model=get(config, "transcribe.sensevoice.model", "iic/SenseVoiceSmall"), sensevoice_device=get(config, "transcribe.sensevoice.device", "auto"), ) - # Progress callback progress = None if quiet else output.ProgressLine(f"Transcribing [{asr_engine}]").start() @@ -136,6 +134,7 @@ def callback(pct: int, msg: str) -> None: try: # Auto-convert video to audio if needed from videocaptioner.cli.validators import AUDIO_EXTENSIONS + audio_path = str(input_path) temp_audio = None @@ -151,6 +150,7 @@ def callback(pct: int, msg: str) -> None: import tempfile from videocaptioner.core.utils.video_utils import video2audio + temp_audio = tempfile.NamedTemporaryFile(suffix=".wav", delete=False) temp_audio.close() if not video2audio(str(input_path), output=temp_audio.name): @@ -163,6 +163,7 @@ def callback(pct: int, msg: str) -> None: audio_path = temp_audio.name from videocaptioner.core.asr import transcribe + asr_data = transcribe(audio_path, transcribe_config, callback=callback) # Save output @@ -170,7 +171,9 @@ def callback(pct: int, msg: str) -> None: if progress: n = len(asr_data.segments) - progress.finish(f"Transcription complete -> {output_path} ({n} segment{'' if n == 1 else 's'})") + progress.finish( + f"Transcription complete -> {output_path} ({n} segment{'' if n == 1 else 's'})" + ) if quiet: print(output_path) return EXIT.SUCCESS @@ -183,6 +186,7 @@ def callback(pct: int, msg: str) -> None: output.error(msg) if verbose: import traceback + traceback.print_exc() return EXIT.RUNTIME_ERROR finally: diff --git a/videocaptioner/cli/config.py b/videocaptioner/cli/config.py index 248e1263d..0fb06d1be 100644 --- a/videocaptioner/cli/config.py +++ b/videocaptioner/cli/config.py @@ -189,6 +189,7 @@ def load_config_file(path: Optional[Path] = None) -> dict: return tomllib.load(f) except Exception as e: import sys + print(f"! Warning: Failed to parse config file {path}: {e}", file=sys.stderr) print(" Run 'videocaptioner config init' to recreate it.", file=sys.stderr) return {} @@ -304,12 +305,13 @@ def _toml_value(value: Any) -> str: if isinstance(value, (int, float)): return str(value) if isinstance(value, str): - escaped = (value - .replace("\\", "\\\\") + escaped = ( + value.replace("\\", "\\\\") .replace('"', '\\"') .replace("\n", "\\n") .replace("\r", "\\r") - .replace("\t", "\\t")) + .replace("\t", "\\t") + ) return f'"{escaped}"' return f'"{value!s}"' diff --git a/videocaptioner/cli/main.py b/videocaptioner/cli/main.py index 39ddc6708..ccf4f8e0e 100644 --- a/videocaptioner/cli/main.py +++ b/videocaptioner/cli/main.py @@ -36,10 +36,12 @@ def _configure_stdio() -> None: def _add_llm_options(parser: argparse.ArgumentParser) -> None: """Add LLM-related options shared across commands.""" group = parser.add_argument_group("LLM options") - group.add_argument("--api-key", metavar="KEY", - help="LLM API key (or set OPENAI_API_KEY env var)") - group.add_argument("--api-base", metavar="URL", - help="LLM API base URL (or set OPENAI_BASE_URL env var)") + group.add_argument( + "--api-key", metavar="KEY", help="LLM API key (or set OPENAI_API_KEY env var)" + ) + group.add_argument( + "--api-base", metavar="URL", help="LLM API base URL (or set OPENAI_BASE_URL env var)" + ) group.add_argument("--model", metavar="NAME", help="LLM model name (e.g. gpt-4o-mini)") @@ -66,29 +68,30 @@ def _add_style_options(parser: argparse.ArgumentParser) -> None: grp = parser.add_argument_group( "Subtitle style (--subtitle-mode hard only)", description="Style options only take effect with hard subtitles. " - "Soft subtitles are rendered by the video player.\n" - "Use 'videocaptioner style' to see available presets.", + "Soft subtitles are rendered by the video player.\n" + "Use 'videocaptioner style' to see available presets.", ) grp.add_argument( "--render-mode", choices=["ass", "rounded"], help="Rendering mode (default: ass)\n" - " ass: Traditional subtitle with outline/shadow (supports presets)\n" - " rounded: Modern rounded background boxes (customizable colors/size)", + " ass: Traditional subtitle with outline/shadow (supports presets)\n" + " rounded: Modern rounded background boxes (customizable colors/size)", ) grp.add_argument( "--style", metavar="NAME", - help="Style preset name (default: default). " - "Run 'videocaptioner style' to see options", + help="Style preset name (default: default). Run 'videocaptioner style' to see options", ) grp.add_argument( "--style-override", metavar="JSON", help='Inline JSON to override style fields, e.g. \'{"outline_color": "#ff0000", "font_size": 48}\'. ' - "Run 'videocaptioner style' to see available fields.", + "Run 'videocaptioner style' to see available fields.", + ) + grp.add_argument( + "--font-file", metavar="PATH", help="Custom font file (.ttf/.otf), overrides style font" ) - grp.add_argument("--font-file", metavar="PATH", help="Custom font file (.ttf/.otf), overrides style font") def _add_common_options(parser: argparse.ArgumentParser) -> None: @@ -96,7 +99,9 @@ def _add_common_options(parser: argparse.ArgumentParser) -> None: parser.add_argument("--config", metavar="FILE", help="Path to config file") verbosity = parser.add_mutually_exclusive_group() verbosity.add_argument("-v", "--verbose", action="store_true", help="Verbose output") - verbosity.add_argument("-q", "--quiet", action="store_true", help="Quiet mode (only output result path)") + verbosity.add_argument( + "-q", "--quiet", action="store_true", help="Quiet mode (only output result path)" + ) def _build_transcribe_parser(subparsers) -> None: @@ -114,25 +119,39 @@ def _build_transcribe_parser(subparsers) -> None: "--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], help="ASR engine (default: bijian). " - "bijian/jianying: free, no setup, Chinese & English only. " - "For local Chinese, Cantonese, English, Japanese, or Korean use sensevoice", - ) - asr.add_argument("--language", metavar="CODE", - help="Source language as ISO 639-1 code, or 'auto' (default: auto)") - asr.add_argument("--word-timestamps", action="store_true", - help="Include word-level timestamps (for subtitle splitting)") - asr.add_argument("--whisper-api-key", metavar="KEY", - help="Whisper API key (for --asr whisper-api)") - asr.add_argument("--whisper-api-base", metavar="URL", - help="Whisper API base URL") - - asr.add_argument("--whisper-model", metavar="NAME", - help="Model name for whisper-api (default: whisper-1) " - "or whisper-cpp (default: large-v2)") - asr.add_argument("--sensevoice-model", metavar="NAME", - help="FunASR model name (default: iic/SenseVoiceSmall)") - asr.add_argument("--sensevoice-device", choices=["auto", "cuda", "cpu", "mps"], - help="SenseVoice inference device (default: auto)") + "bijian/jianying: free, no setup, Chinese & English only. " + "For local Chinese, Cantonese, English, Japanese, or Korean use sensevoice", + ) + asr.add_argument( + "--language", + metavar="CODE", + help="Source language as ISO 639-1 code, or 'auto' (default: auto)", + ) + asr.add_argument( + "--word-timestamps", + action="store_true", + help="Include word-level timestamps (for subtitle splitting)", + ) + asr.add_argument( + "--whisper-api-key", metavar="KEY", help="Whisper API key (for --asr whisper-api)" + ) + asr.add_argument("--whisper-api-base", metavar="URL", help="Whisper API base URL") + + asr.add_argument( + "--whisper-model", + metavar="NAME", + help="Model name for whisper-api (default: whisper-1) or whisper-cpp (default: large-v2)", + ) + asr.add_argument( + "--sensevoice-model", + metavar="NAME", + help="FunASR model name (default: iic/SenseVoiceSmall)", + ) + asr.add_argument( + "--sensevoice-device", + choices=["auto", "cuda", "cpu", "mps"], + help="SenseVoice inference device (default: auto)", + ) # Advanced options (configurable via 'config set', hidden from --help) for arg in ["--fw-model", "--fw-device", "--fw-vad-method", "--fw-prompt", "--whisper-prompt"]: @@ -171,10 +190,10 @@ def _build_subtitle_parser(subparsers) -> None: _add_common_options(p) llm = p.add_argument_group("LLM options") - llm.add_argument("--api-key", metavar="KEY", - help="LLM API key (or set OPENAI_API_KEY env var)") - llm.add_argument("--api-base", metavar="URL", - help="LLM API base URL (or set OPENAI_BASE_URL env var)") + llm.add_argument("--api-key", metavar="KEY", help="LLM API key (or set OPENAI_API_KEY env var)") + llm.add_argument( + "--api-base", metavar="URL", help="LLM API base URL (or set OPENAI_BASE_URL env var)" + ) llm.add_argument("--model", metavar="NAME", help="LLM model name (e.g. gpt-4o-mini)") _add_output_options(p) @@ -195,15 +214,34 @@ def _build_subtitle_parser(subparsers) -> None: metavar="CODE", help="Target language as BCP 47 code, e.g. zh-Hans, en, ja (default: zh-Hans)", ) - trans.add_argument("--reflect", action="store_true", - help="Enable reflective translation (LLM only, higher quality)") + trans.add_argument( + "--reflect", + action="store_true", + help="Enable reflective translation (LLM only, higher quality)", + ) sub = p.add_argument_group("Subtitle options") - sub.add_argument("--max-cjk", type=int, metavar="N", help="Max characters per line for CJK text (default: 18)") - sub.add_argument("--max-english", type=int, metavar="N", help="Max words per line for English text (default: 12)") - sub.add_argument("--prompt", metavar="TEXT", help="Custom prompt for LLM optimization/translation") - sub.add_argument("--thread-num", type=int, metavar="N", help="Number of concurrent threads (default: 4)") - sub.add_argument("--batch-size", type=int, metavar="N", help="Batch size for processing (default: 20)") + sub.add_argument( + "--max-cjk", + type=int, + metavar="N", + help="Max characters per line for CJK text (default: 18)", + ) + sub.add_argument( + "--max-english", + type=int, + metavar="N", + help="Max words per line for English text (default: 12)", + ) + sub.add_argument( + "--prompt", metavar="TEXT", help="Custom prompt for LLM optimization/translation" + ) + sub.add_argument( + "--thread-num", type=int, metavar="N", help="Number of concurrent threads (default: 4)" + ) + sub.add_argument( + "--batch-size", type=int, metavar="N", help="Batch size for processing (default: 20)" + ) layout = p.add_argument_group("Layout options") layout.add_argument( @@ -228,24 +266,26 @@ def _build_synthesize_parser(subparsers) -> None: _add_common_options(p) req = p.add_argument_group("Required") - req.add_argument("-s", "--subtitle", required=True, metavar="FILE", help="Subtitle file path (.srt, .ass)") + req.add_argument( + "-s", "--subtitle", required=True, metavar="FILE", help="Subtitle file path (.srt, .ass)" + ) opt = p.add_argument_group("Synthesis options") opt.add_argument( "--subtitle-mode", choices=["soft", "hard"], help="Subtitle embedding mode (default: soft)\n" - " soft: Embedded as a selectable subtitle track\n" - " hard: Burned into video frames permanently", + " soft: Embedded as a selectable subtitle track\n" + " hard: Burned into video frames permanently", ) opt.add_argument( "--quality", choices=["ultra", "high", "medium", "low"], help="Video quality (default: medium)\n" - " ultra: CRF 18, slow preset — best quality, largest file\n" - " high: CRF 23, medium preset\n" - " medium: CRF 28, medium preset — balanced\n" - " low: CRF 32, fast preset — smallest file", + " ultra: CRF 18, slow preset — best quality, largest file\n" + " high: CRF 23, medium preset\n" + " medium: CRF 28, medium preset — balanced\n" + " low: CRF 32, fast preset — smallest file", ) opt.add_argument( "--layout", @@ -278,16 +318,50 @@ def _build_dub_parser(subparsers) -> None: p.add_argument("--audio-output", metavar="PATH", help="Output dubbed audio path") tts = p.add_argument_group("Dubbing options") - tts.add_argument("--preset", dest="dub_preset", choices=available_dubbing_presets(), help="Voice preset") - p.add_argument("--dub-preset", dest="dub_preset", choices=available_dubbing_presets(), help=argparse.SUPPRESS) - tts.add_argument("--tts-api-key", metavar="KEY", help="TTS API key for SiliconFlow/Gemini. Edge does not need one") + tts.add_argument( + "--preset", dest="dub_preset", choices=available_dubbing_presets(), help="Voice preset" + ) + p.add_argument( + "--dub-preset", + dest="dub_preset", + choices=available_dubbing_presets(), + help=argparse.SUPPRESS, + ) + tts.add_argument( + "--tts-api-key", + metavar="KEY", + help="TTS API key for SiliconFlow/Gemini. Edge does not need one", + ) tts.add_argument("--voice", metavar="VOICE", help="Default voice, e.g. anna, Kore, xiaoxiao") - tts.add_argument("--speak", dest="text_track", choices=["auto", "first", "second"], help="Subtitle line to speak for bilingual subtitles") - p.add_argument("--text-track", dest="text_track", choices=["auto", "first", "second", "source", "target", "original", "translated"], help=argparse.SUPPRESS) - tts.add_argument("--timing", choices=["balanced", "strict", "natural", "none"], help="Timing strategy") - tts.add_argument("--adapt-length", dest="rewrite_too_long", action="store_true", help="Shorten lines that are too long for their subtitle slot") - p.add_argument("--rewrite-too-long", dest="rewrite_too_long", action="store_true", help=argparse.SUPPRESS) - tts.add_argument("--audio-mode", choices=["replace", "mix", "duck"], help="How to handle original video audio") + tts.add_argument( + "--speak", + dest="text_track", + choices=["auto", "first", "second"], + help="Subtitle line to speak for bilingual subtitles", + ) + p.add_argument( + "--text-track", + dest="text_track", + choices=["auto", "first", "second", "source", "target", "original", "translated"], + help=argparse.SUPPRESS, + ) + tts.add_argument( + "--timing", choices=["balanced", "strict", "natural", "none"], help="Timing strategy" + ) + tts.add_argument( + "--adapt-length", + dest="rewrite_too_long", + action="store_true", + help="Shorten lines that are too long for their subtitle slot", + ) + p.add_argument( + "--rewrite-too-long", dest="rewrite_too_long", action="store_true", help=argparse.SUPPRESS + ) + tts.add_argument( + "--audio-mode", + choices=["replace", "mix", "duck"], + help="How to handle original video audio", + ) speaker = p.add_argument_group("Speaker options") speaker.add_argument( @@ -311,7 +385,9 @@ def _build_dub_parser(subparsers) -> None: metavar="NAME=AUDIO|TEXT", help="Map speaker to SiliconFlow clone reference audio and exact transcript; repeatable", ) - speaker.add_argument("--clone-audio", metavar="FILE", help="Default speaker clone reference audio") + speaker.add_argument( + "--clone-audio", metavar="FILE", help="Default speaker clone reference audio" + ) speaker.add_argument("--clone-text", metavar="TEXT", help="Exact transcript for --clone-audio") # Hidden advanced/provider options. They remain available for scripts and debugging. @@ -342,7 +418,7 @@ def _build_process_parser(subparsers) -> None: "process", help="Full pipeline: transcribe → optimize → translate → synthesize", description="Run the complete captioning pipeline on a video or audio file. " - "Equivalent to running transcribe, subtitle, and synthesize in sequence.", + "Equivalent to running transcribe, subtitle, and synthesize in sequence.", ) p.add_argument("input", help="Video or audio file path") _add_common_options(p) @@ -353,38 +429,108 @@ def _build_process_parser(subparsers) -> None: pipe.add_argument("--no-optimize", action="store_true", help="Skip AI subtitle polish") pipe.add_argument("--no-translate", action="store_true", help="Skip translation") pipe.add_argument("--no-split", action="store_true", help="Skip subtitle re-segmentation") - pipe.add_argument("--no-synthesize", action="store_true", help="Skip video synthesis (output subtitles only)") - pipe.add_argument("--dub", action="store_true", help="Generate dubbed audio/video after subtitle processing") - pipe.add_argument("--dub-only", action="store_true", help="Output only the dubbed result, skipping subtitle burn/embedding") - - pipe.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], - help="ASR engine (default: bijian)") - pipe.add_argument("--language", metavar="CODE", - help="Source language as ISO 639-1 code, or 'auto' (default: auto)") - pipe.add_argument("--whisper-api-key", metavar="KEY", help="Whisper API key (for --asr whisper-api)") + pipe.add_argument( + "--no-synthesize", action="store_true", help="Skip video synthesis (output subtitles only)" + ) + pipe.add_argument( + "--dub", action="store_true", help="Generate dubbed audio/video after subtitle processing" + ) + pipe.add_argument( + "--dub-only", + action="store_true", + help="Output only the dubbed result, skipping subtitle burn/embedding", + ) + + pipe.add_argument( + "--asr", + choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], + help="ASR engine (default: bijian)", + ) + pipe.add_argument( + "--language", + metavar="CODE", + help="Source language as ISO 639-1 code, or 'auto' (default: auto)", + ) + pipe.add_argument( + "--whisper-api-key", metavar="KEY", help="Whisper API key (for --asr whisper-api)" + ) pipe.add_argument("--sensevoice-model", metavar="NAME", help="FunASR model name") - pipe.add_argument("--sensevoice-device", choices=["auto", "cuda", "cpu", "mps"], - help="SenseVoice inference device") - pipe.add_argument("--translator", choices=["llm", "bing", "google"], - help="Translation service (default: bing). bing and google are free") - pipe.add_argument("--to", dest="target_language", metavar="CODE", help="Target language BCP 47 code") - p.add_argument("--target-language", dest="target_language", metavar="CODE", help=argparse.SUPPRESS) + pipe.add_argument( + "--sensevoice-device", + choices=["auto", "cuda", "cpu", "mps"], + help="SenseVoice inference device", + ) + pipe.add_argument( + "--translator", + choices=["llm", "bing", "google"], + help="Translation service (default: bing). bing and google are free", + ) + pipe.add_argument( + "--to", dest="target_language", metavar="CODE", help="Target language BCP 47 code" + ) + p.add_argument( + "--target-language", dest="target_language", metavar="CODE", help=argparse.SUPPRESS + ) pipe.add_argument("--reflect", action="store_true", help="Reflective translation (LLM only)") - pipe.add_argument("--quality", choices=["ultra", "high", "medium", "low"], help="Video quality (default: medium)") - pipe.add_argument("--subtitle-mode", choices=["soft", "hard"], help="Subtitle mode (default: soft)") - pipe.add_argument("--layout", choices=["target-above", "source-above", "target-only", "source-only"], - help="Subtitle layout (default: target-above)") - pipe.add_argument("--preset", dest="dub_preset", choices=available_dubbing_presets(), help="Dubbing voice preset") - p.add_argument("--dub-preset", dest="dub_preset", choices=available_dubbing_presets(), help=argparse.SUPPRESS) - pipe.add_argument("--tts-api-key", metavar="KEY", help="Dubbing TTS API key for SiliconFlow/Gemini") + pipe.add_argument( + "--quality", + choices=["ultra", "high", "medium", "low"], + help="Video quality (default: medium)", + ) + pipe.add_argument( + "--subtitle-mode", choices=["soft", "hard"], help="Subtitle mode (default: soft)" + ) + pipe.add_argument( + "--layout", + choices=["target-above", "source-above", "target-only", "source-only"], + help="Subtitle layout (default: target-above)", + ) + pipe.add_argument( + "--preset", + dest="dub_preset", + choices=available_dubbing_presets(), + help="Dubbing voice preset", + ) + p.add_argument( + "--dub-preset", + dest="dub_preset", + choices=available_dubbing_presets(), + help=argparse.SUPPRESS, + ) + pipe.add_argument( + "--tts-api-key", metavar="KEY", help="Dubbing TTS API key for SiliconFlow/Gemini" + ) pipe.add_argument("--voice", metavar="VOICE", help="Default dubbing voice") - pipe.add_argument("--timing", choices=["balanced", "strict", "natural", "none"], help="Dubbing timing strategy") - pipe.add_argument("--adapt-length", dest="rewrite_too_long", action="store_true", help="Shorten lines that are too long for their subtitle slot") - pipe.add_argument("--audio-mode", choices=["replace", "mix", "duck"], help="How to handle original video audio") - pipe.add_argument("--speaker-voice", action="append", default=[], metavar="NAME=VOICE", - help="Map subtitle speaker to a voice; repeatable") - pipe.add_argument("--speaker-clone", action="append", default=[], metavar="NAME=AUDIO|TEXT", - help="Map speaker to clone reference audio and transcript; repeatable") + pipe.add_argument( + "--timing", + choices=["balanced", "strict", "natural", "none"], + help="Dubbing timing strategy", + ) + pipe.add_argument( + "--adapt-length", + dest="rewrite_too_long", + action="store_true", + help="Shorten lines that are too long for their subtitle slot", + ) + pipe.add_argument( + "--audio-mode", + choices=["replace", "mix", "duck"], + help="How to handle original video audio", + ) + pipe.add_argument( + "--speaker-voice", + action="append", + default=[], + metavar="NAME=VOICE", + help="Map subtitle speaker to a voice; repeatable", + ) + pipe.add_argument( + "--speaker-clone", + action="append", + default=[], + metavar="NAME=AUDIO|TEXT", + help="Map speaker to clone reference audio and transcript; repeatable", + ) pipe.add_argument("--clone-audio", metavar="FILE", help="Default speaker clone reference audio") pipe.add_argument("--clone-text", metavar="TEXT", help="Exact transcript for --clone-audio") # Hidden options @@ -394,16 +540,26 @@ def _build_process_parser(subparsers) -> None: p.add_argument("--batch-size", type=int, metavar="N", help=argparse.SUPPRESS) p.add_argument("--whisper-api-base", help=argparse.SUPPRESS) p.add_argument("--whisper-model", help=argparse.SUPPRESS) - p.add_argument("--dub-provider", choices=["siliconflow", "gemini", "edge"], help=argparse.SUPPRESS) + p.add_argument( + "--dub-provider", choices=["siliconflow", "gemini", "edge"], help=argparse.SUPPRESS + ) p.add_argument("--tts-api-base", metavar="URL", help=argparse.SUPPRESS) p.add_argument("--tts-model", metavar="NAME", help=argparse.SUPPRESS) p.add_argument("--style-prompt", metavar="TEXT", help=argparse.SUPPRESS) p.add_argument("--tts-workers", type=int, metavar="N", help=argparse.SUPPRESS) - p.add_argument("--speaker-style", action="append", default=[], metavar="NAME=PROMPT", help=argparse.SUPPRESS) + p.add_argument( + "--speaker-style", + action="append", + default=[], + metavar="NAME=PROMPT", + help=argparse.SUPPRESS, + ) p.add_argument("--fit-mode", choices=["tempo", "none"], help=argparse.SUPPRESS) p.add_argument("--max-speed", type=float, metavar="N", help=argparse.SUPPRESS) p.add_argument("--mix-original-audio", action="store_true", help=argparse.SUPPRESS) - p.add_argument("--rewrite-too-long", dest="rewrite_too_long", action="store_true", help=argparse.SUPPRESS) + p.add_argument( + "--rewrite-too-long", dest="rewrite_too_long", action="store_true", help=argparse.SUPPRESS + ) _add_style_options(p) @@ -416,11 +572,11 @@ def _build_style_parser(subparsers) -> None: help="List subtitle style presets", formatter_class=argparse.RawDescriptionHelpFormatter, description="Show all available subtitle style presets with their configurations.\n\n" - "Two rendering modes are supported:\n" - " ass: Traditional subtitle with outline/shadow\n" - " rounded: Modern rounded background boxes\n\n" - "Use --style in synthesize/process to apply a preset.\n" - "Use --style-override '{...}' to customize fields inline.", + "Two rendering modes are supported:\n" + " ass: Traditional subtitle with outline/shadow\n" + " rounded: Modern rounded background boxes\n\n" + "Use --style in synthesize/process to apply a preset.\n" + "Use --style-override '{...}' to customize fields inline.", ) p.set_defaults(func=_run_style, style_action="list") @@ -433,7 +589,9 @@ def _build_download_parser(subparsers) -> None: ) p.add_argument("url", help="Video URL") _add_common_options(p) - p.add_argument("-o", "--output", metavar="DIR", help="Output directory (default: current directory)") + p.add_argument( + "-o", "--output", metavar="DIR", help="Output directory (default: current directory)" + ) p.set_defaults(func=_run_download) @@ -455,23 +613,53 @@ def _build_config_parser(subparsers) -> None: "Use --non-interactive for Agent/CI-friendly setup." ), ) - init_p.add_argument("--non-interactive", action="store_true", help="Write config without prompts") + init_p.add_argument( + "--non-interactive", action="store_true", help="Write config without prompts" + ) init_p.add_argument("--force", action="store_true", help="Overwrite existing config file") - init_p.add_argument("--print-template", action="store_true", help="Print a commented template instead of writing") - init_p.add_argument("--profile", choices=["basic", "dubbing"], default="basic", help="Configuration profile") + init_p.add_argument( + "--print-template", + action="store_true", + help="Print a commented template instead of writing", + ) + init_p.add_argument( + "--profile", choices=["basic", "dubbing"], default="basic", help="Configuration profile" + ) init_p.add_argument("--llm-api-key", metavar="KEY", help="LLM API key") init_p.add_argument("--llm-api-base", metavar="URL", help="LLM API base URL") init_p.add_argument("--llm-model", metavar="NAME", help="LLM model") - init_p.add_argument("--asr", choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], help="Default ASR engine") - init_p.add_argument("--translator", choices=["llm", "bing", "google"], help="Default translation service") - init_p.add_argument("--target-language", "--to", dest="target_language", metavar="CODE", help=argparse.SUPPRESS) - init_p.add_argument("--no-optimize", action="store_true", help="Disable AI subtitle polish by default") - init_p.add_argument("--no-split", action="store_true", help="Disable subtitle re-segmentation by default") - init_p.add_argument("--tts-api-key", metavar="KEY", help="Dubbing TTS API key for SiliconFlow/Gemini") + init_p.add_argument( + "--asr", + choices=["bijian", "jianying", "whisper-api", "whisper-cpp", "sensevoice"], + help="Default ASR engine", + ) + init_p.add_argument( + "--translator", choices=["llm", "bing", "google"], help="Default translation service" + ) + init_p.add_argument( + "--target-language", "--to", dest="target_language", metavar="CODE", help=argparse.SUPPRESS + ) + init_p.add_argument( + "--no-optimize", action="store_true", help="Disable AI subtitle polish by default" + ) + init_p.add_argument( + "--no-split", action="store_true", help="Disable subtitle re-segmentation by default" + ) + init_p.add_argument( + "--tts-api-key", metavar="KEY", help="Dubbing TTS API key for SiliconFlow/Gemini" + ) init_p.add_argument("--dub-preset", "--preset", dest="dub_preset", help="Dubbing voice preset") init_p.add_argument("--voice", metavar="VOICE", help="Default dubbing voice") - init_p.add_argument("--timing", choices=["balanced", "strict", "natural", "none"], help="Dubbing timing strategy") - init_p.add_argument("--audio-mode", choices=["replace", "mix", "duck"], help="Original audio handling for dubbing") + init_p.add_argument( + "--timing", + choices=["balanced", "strict", "natural", "none"], + help="Dubbing timing strategy", + ) + init_p.add_argument( + "--audio-mode", + choices=["replace", "mix", "duck"], + help="Original audio handling for dubbing", + ) config_sub.add_parser("edit", help="Open config file in $EDITOR") set_p = config_sub.add_parser("set", help="Set a configuration value") @@ -492,7 +680,9 @@ def _build_doctor_parser(subparsers) -> None: ) _add_common_options(p) p.add_argument("--json", action="store_true", help="Output machine-readable JSON") - p.add_argument("--check-api", action="store_true", help="Also perform lightweight provider API checks") + p.add_argument( + "--check-api", action="store_true", help="Also perform lightweight provider API checks" + ) p.set_defaults(func=_run_doctor) @@ -500,7 +690,7 @@ def build_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser( prog="videocaptioner", description="AI-powered video captioning — transcribe speech, optimize and translate subtitles, " - "then burn them into video with customizable styles (ASS or rounded background).", + "then burn them into video with customizable styles (ASS or rounded background).", epilog="Run 'videocaptioner --help' for details on each command.", ) parser.add_argument("--version", action="version", version=_get_version()) @@ -525,6 +715,7 @@ def _get_version() -> str: # Read version without importing config.py (avoids side effects) try: import importlib.metadata + return f"videocaptioner {importlib.metadata.version('videocaptioner')}" except Exception: return "videocaptioner (version unknown)" @@ -540,6 +731,7 @@ def _build_cli_overrides(args: argparse.Namespace) -> dict: def _set(key: str, value) -> None: if value is not None: from videocaptioner.cli.config import _set_nested + _set_nested(overrides, key, value) # LLM @@ -642,11 +834,13 @@ def _set(key: str, value) -> None: def _load_config(args: argparse.Namespace) -> dict: """Load config with all layers merged.""" from videocaptioner.cli.config import build_config + config_path = None if getattr(args, "config", None): config_path = Path(args.config) if not config_path.exists(): from videocaptioner.cli import output + output.warn(f"Config file not found: {config_path}, using defaults") config_path = None cli_overrides = _build_cli_overrides(args) @@ -655,6 +849,7 @@ def _load_config(args: argparse.Namespace) -> dict: def _run_transcribe(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.transcribe import run + config = _load_config(args) return run(args, config) @@ -672,48 +867,56 @@ def _run_gui(_args: argparse.Namespace) -> int: def _run_subtitle(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.subtitle import run + config = _load_config(args) return run(args, config) def _run_synthesize(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.synthesize import run + config = _load_config(args) return run(args, config) def _run_dub(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.dub import run + config = _load_config(args) return run(args, config) def _run_process(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.process import run + config = _load_config(args) return run(args, config) def _run_download(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.download import run + config = _load_config(args) return run(args, config) def _run_config(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.config_cmd import run + config = _load_config(args) return run(args, config) def _run_doctor(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.doctor import run + config = _load_config(args) return run(args, config) def _run_style(args: argparse.Namespace) -> int: from videocaptioner.cli.commands.style_cmd import run + config = _load_config(args) return run(args, config) @@ -732,6 +935,7 @@ def main(argv: Optional[List[str]] = None) -> int: # Control core logger output for CLI: quiet=CRITICAL, default=WARNING, verbose=DEBUG import logging + quiet = getattr(args, "quiet", False) verbose = getattr(args, "verbose", False) if quiet: @@ -748,9 +952,11 @@ def main(argv: Optional[List[str]] = None) -> int: return 130 except Exception as e: from videocaptioner.cli.output import error + error(str(e)) if getattr(args, "verbose", False): import traceback + traceback.print_exc() return EXIT.GENERAL_ERROR diff --git a/videocaptioner/cli/validators.py b/videocaptioner/cli/validators.py index 791728b35..e8fe5c14d 100644 --- a/videocaptioner/cli/validators.py +++ b/videocaptioner/cli/validators.py @@ -13,7 +13,9 @@ # Shared file format constants AUDIO_EXTENSIONS = frozenset({"flac", "m4a", "mp3", "wav", "ogg", "opus", "aac", "wma"}) -VIDEO_EXTENSIONS = frozenset({"mp4", "mkv", "avi", "mov", "webm", "flv", "wmv", "ts", "m4v", "mpg", "mpeg"}) +VIDEO_EXTENSIONS = frozenset( + {"mp4", "mkv", "avi", "mov", "webm", "flv", "wmv", "ts", "m4v", "mpg", "mpeg"} +) SUBTITLE_EXTENSIONS = frozenset({".srt", ".ass", ".vtt"}) OUTPUT_EXTENSIONS = frozenset({".srt", ".ass", ".txt", ".json"}) SENSEVOICE_RUNTIME_DEPENDENCIES = ("funasr", "torch", "torchaudio") @@ -22,6 +24,7 @@ def resolve_layout(cli_name: str): """Convert CLI layout name to SubtitleLayoutEnum.""" from videocaptioner.core.entities import SubtitleLayoutEnum + mapping = { "target-above": SubtitleLayoutEnum.TRANSLATE_ON_TOP, "source-above": SubtitleLayoutEnum.ORIGINAL_ON_TOP, @@ -34,6 +37,7 @@ def resolve_layout(cli_name: str): def validate_media_input(path: Path) -> int | None: """Validate input is a supported audio/video file. Returns exit code on failure, None on success.""" from videocaptioner.cli import exit_codes as EXIT + if not path.is_file(): output.error(f"Input is not a file: {path}") return EXIT.FILE_NOT_FOUND @@ -49,6 +53,7 @@ def validate_media_input(path: Path) -> int | None: def validate_subtitle_input(path: Path) -> int | None: """Validate input is a supported subtitle file. Returns exit code on failure, None on success.""" from videocaptioner.cli import exit_codes as EXIT + if path.suffix.lower() not in SUBTITLE_EXTENSIONS: output.error(f"Unsupported subtitle format: {path.suffix}") output.hint(f"Supported formats: {', '.join(sorted(SUBTITLE_EXTENSIONS))}") @@ -59,9 +64,12 @@ def validate_subtitle_input(path: Path) -> int | None: def validate_video_input(path: Path) -> int | None: """Validate input is a video file (not audio or other). Returns exit code on failure.""" from videocaptioner.cli import exit_codes as EXIT + ext = path.suffix.lower() if ext.lstrip(".") in AUDIO_EXTENSIONS: - output.error(f"Input is an audio file ({ext}), not a video. Cannot burn subtitles into audio.") + output.error( + f"Input is an audio file ({ext}), not a video. Cannot burn subtitles into audio." + ) output.hint("Use a video file (mp4, mkv, etc.) as input.") return EXIT.USAGE_ERROR if ext and ext.lstrip(".") not in VIDEO_EXTENSIONS: @@ -74,6 +82,7 @@ def validate_video_input(path: Path) -> int | None: def validate_output_format(path: Path) -> int | None: """Validate output file extension is supported. Returns exit code on failure.""" from videocaptioner.cli import exit_codes as EXIT + ext = Path(path).suffix.lower() if ext and ext not in OUTPUT_EXTENSIONS: output.error(f"Unsupported output format: {ext}") @@ -131,7 +140,11 @@ def validate_ffmpeg() -> bool: def validate_faster_whisper() -> bool: """Check that FasterWhisper executable is available.""" - if not shutil.which("faster-whisper-xxl") and not shutil.which("faster-whisper") and not shutil.which("faster_whisper"): + if ( + not shutil.which("faster-whisper-xxl") + and not shutil.which("faster-whisper") + and not shutil.which("faster_whisper") + ): output.error("FasterWhisper not found on PATH") output.hint("Download from the GUI (Settings > FasterWhisper), or install manually.") output.hint("See: https://github.com/Purfview/whisper-standalone-win") @@ -147,6 +160,7 @@ def validate_whisper_cpp() -> bool: # Also check project's bin directory try: from videocaptioner.config import BIN_PATH + if not any((BIN_PATH / n).exists() for n in names): output.error("WhisperCpp not found") output.hint("Download from the GUI (Settings > WhisperCpp), or install manually.") @@ -161,7 +175,9 @@ def validate_whisper_cpp() -> bool: def missing_sensevoice_dependencies() -> list[str]: """Return missing packages required by the optional SenseVoice runtime.""" - return [name for name in SENSEVOICE_RUNTIME_DEPENDENCIES if importlib.util.find_spec(name) is None] + return [ + name for name in SENSEVOICE_RUNTIME_DEPENDENCIES if importlib.util.find_spec(name) is None + ] def validate_sensevoice() -> bool: @@ -221,6 +237,7 @@ def validate_dubbing(config: dict, *, needs_video: bool = False, rewrite: bool = if preset_name: try: from videocaptioner.core.dubbing.presets import get_dubbing_preset + preset = get_dubbing_preset(preset_name) except ValueError as exc: output.error(str(exc)) @@ -263,7 +280,9 @@ def validate_dubbing(config: dict, *, needs_video: bool = False, rewrite: bool = output.error(f"Unsupported dubbing audio mode: {audio_mode}") output.hint("Supported audio modes: replace, mix, duck") return False - if (needs_video or get(config, "dubbing.fit_mode", "tempo") == "tempo") and not validate_ffmpeg(): + if ( + needs_video or get(config, "dubbing.fit_mode", "tempo") == "tempo" + ) and not validate_ffmpeg(): return False if rewrite and not validate_llm(config): return False diff --git a/videocaptioner/core/asr/transcribe.py b/videocaptioner/core/asr/transcribe.py index 1565a821b..bfa7fc87e 100644 --- a/videocaptioner/core/asr/transcribe.py +++ b/videocaptioner/core/asr/transcribe.py @@ -83,9 +83,7 @@ def _create_jianying_asr(audio_path: str, config: TranscribeConfig) -> ChunkedAS "use_cache": True, "need_word_time_stamp": config.need_word_time_stamp, } - return ChunkedASR( - asr_class=JianYingASR, audio_path=audio_path, asr_kwargs=asr_kwargs - ) + return ChunkedASR(asr_class=JianYingASR, audio_path=audio_path, asr_kwargs=asr_kwargs) def _create_bijian_asr(audio_path: str, config: TranscribeConfig) -> ChunkedASR: @@ -125,9 +123,7 @@ def _create_whisper_api_asr(audio_path: str, config: TranscribeConfig) -> Chunke "base_url": config.whisper_api_base or "", "prompt": config.whisper_api_prompt or "", } - return ChunkedASR( - asr_class=WhisperAPI, audio_path=audio_path, asr_kwargs=asr_kwargs - ) + return ChunkedASR(asr_class=WhisperAPI, audio_path=audio_path, asr_kwargs=asr_kwargs) def _create_faster_whisper_asr(audio_path: str, config: TranscribeConfig) -> ChunkedASR: @@ -145,9 +141,7 @@ def _create_faster_whisper_asr(audio_path: str, config: TranscribeConfig) -> Chu "vad_filter": config.faster_whisper_vad_filter, "vad_threshold": config.faster_whisper_vad_threshold, "vad_method": ( - config.faster_whisper_vad_method.value - if config.faster_whisper_vad_method - else "" + config.faster_whisper_vad_method.value if config.faster_whisper_vad_method else "" ), "ff_mdx_kim2": config.faster_whisper_ff_mdx_kim2, "one_word": config.faster_whisper_one_word, diff --git a/videocaptioner/core/entities.py b/videocaptioner/core/entities.py index 31febd2df..520b7ca01 100644 --- a/videocaptioner/core/entities.py +++ b/videocaptioner/core/entities.py @@ -137,19 +137,17 @@ class VadMethodEnum(Enum): """VAD方法""" SILERO_V3 = "silero_v3" # 通常比 v4 准确性低，但没有 v4 的一些怪癖 - SILERO_V4 = ( - "silero_v4" # 与 silero_v4_fw 相同。运行原始 Silero 的代码，而不是适配过的代码 - ) - SILERO_V5 = ( - "silero_v5" # 与 silero_v5_fw 相同。运行原始 Silero 的代码，而不是适配过的代码) - ) - SILERO_V4_FW = ( - "silero_v4_fw" # 默认模型。最准确的 Silero 版本，有一些非致命的小问题 - ) + SILERO_V4 = "silero_v4" # 与 silero_v4_fw 相同。运行原始 Silero 的代码，而不是适配过的代码 + SILERO_V5 = "silero_v5" # 与 silero_v5_fw 相同。运行原始 Silero 的代码，而不是适配过的代码) + SILERO_V4_FW = "silero_v4_fw" # 默认模型。最准确的 Silero 版本，有一些非致命的小问题 # SILERO_V5_FW = "silero_v5_fw" # 准确性差。不是 VAD，而是某种语音的随机检测器，有各种致命的小问题。避免使用！ PYANNOTE_V3 = "pyannote_v3" # 最佳准确性，支持 CUDA - PYANNOTE_ONNX_V3 = "pyannote_onnx_v3" # pyannote_v3 的轻量版。与 Silero v4 的准确性相似，可能稍好，支持 CUDA - WEBRTC = "webrtc" # 准确性低，过时的 VAD。仅接受 'vad_min_speech_duration_ms' 和 'vad_speech_pad_ms' + PYANNOTE_ONNX_V3 = ( + "pyannote_onnx_v3" # pyannote_v3 的轻量版。与 Silero v4 的准确性相似，可能稍好，支持 CUDA + ) + WEBRTC = ( + "webrtc" # 准确性低，过时的 VAD。仅接受 'vad_min_speech_duration_ms' 和 'vad_speech_pad_ms' + ) AUDITOK = "auditok" # 实际上这不是 VAD，而是 AAD - 音频活动检测 @@ -597,14 +595,10 @@ def _mask_key(self, key: Optional[str]) -> str: def print_config(self) -> str: """Print transcription configuration""" lines = ["=========== Transcription Task ==========="] - lines.append( - f"Model: {self.transcribe_model.value if self.transcribe_model else 'None'}" - ) + lines.append(f"Model: {self.transcribe_model.value if self.transcribe_model else 'None'}") lines.append(f"Language: {self.transcribe_language or 'Auto'}") lines.append(f"Word Timestamp: {self.need_word_time_stamp}") - lines.append( - f"Output Format: {self.output_format.value if self.output_format else 'None'}" - ) + lines.append(f"Output Format: {self.output_format.value if self.output_format else 'None'}") if self.transcribe_model == TranscribeModelEnum.WHISPER_API: lines.append(f"API Base: {self.whisper_api_base}") @@ -627,9 +621,7 @@ def print_config(self) -> str: lines.append(f"One Word Per Segment: {self.faster_whisper_one_word}") elif self.transcribe_model == TranscribeModelEnum.WHISPER_CPP: - lines.append( - f"Model: {self.whisper_model.value if self.whisper_model else 'None'}" - ) + lines.append(f"Model: {self.whisper_model.value if self.whisper_model else 'None'}") elif self.transcribe_model == TranscribeModelEnum.SENSEVOICE: lines.append(f"Model: {self.sensevoice_model}")