mirror of
https://github.com/JefferyHcool/BiliNote.git
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171dea5e0d
### v1.1.0 - #### Added - 新增 AI 笔记风格选择 - 新增 AI 笔记返回格式选择 - 添加 AI 自定义笔记备注 Prompt - 添加任务失败重试 - 添加全局设置页，可在设置页进行模型设置 - #### Optimize - 优化前端样式，优化用户体验 - 增加生成中间产物，可用于失败后加快生成速度 - #### Fix - 修复视频截图视频过早删除错误
113 lines
4.6 KiB
Python
113 lines
4.6 KiB
Python
import os
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import platform
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from app.transcriber.whisper import WhisperTranscriber
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from app.transcriber.bcut import BcutTranscriber
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from app.transcriber.kuaishou import KuaishouTranscriber
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from app.utils.logger import get_logger
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logger = get_logger(__name__)
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# 只在Apple平台且设置了环境变量时才导入MLX Whisper
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if platform.system() == "Darwin" and os.environ.get("TRANSCRIBER_TYPE") == "mlx-whisper":
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try:
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from app.transcriber.mlx_whisper_transcriber import MLXWhisperTranscriber
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MLX_WHISPER_AVAILABLE = True
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logger.info("MLX Whisper 可用，已导入")
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except ImportError:
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MLX_WHISPER_AVAILABLE = False
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logger.warning("MLX Whisper 导入失败，可能未安装或平台不支持")
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else:
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MLX_WHISPER_AVAILABLE = False
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logger.info('初始化转录服务提供器')
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# 维护各种转录器的单例实例
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_transcribers = {
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'bcut': None,
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'kuaishou': None,
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'mlx-whisper': None,
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'fast-whisper':None
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}
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def get_whisper_transcriber(model_size="base", device="cuda"):
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"""获取 Whisper 转录器实例"""
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if _transcribers['fast-whisper'] is None:
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logger.info(f'创建 Whisper 转录器实例，参数：{model_size}, {device}')
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try:
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_transcribers['whisper'] = WhisperTranscriber(model_size=model_size, device=device)
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logger.info('Whisper 转录器创建成功')
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except Exception as e:
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logger.error(f"Whisper 转录器创建失败: {e}")
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raise
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return _transcribers['whisper']
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def get_bcut_transcriber():
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"""获取 Bcut 转录器实例"""
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if _transcribers['bcut'] is None:
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logger.info('创建 Bcut 转录器实例')
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try:
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_transcribers['bcut'] = BcutTranscriber()
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logger.info('Bcut 转录器创建成功')
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except Exception as e:
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logger.error(f"Bcut 转录器创建失败: {e}")
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raise
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return _transcribers['bcut']
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def get_kuaishou_transcriber():
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"""获取快手转录器实例"""
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if _transcribers['kuaishou'] is None:
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logger.info('创建快手转录器实例')
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try:
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_transcribers['kuaishou'] = KuaishouTranscriber()
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logger.info('快手转录器创建成功')
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except Exception as e:
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logger.error(f"快手转录器创建失败: {e}")
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raise
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return _transcribers['kuaishou']
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def get_mlx_whisper_transcriber(model_size="base"):
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"""获取 MLX Whisper 转录器实例"""
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if not MLX_WHISPER_AVAILABLE:
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logger.warning("MLX Whisper 不可用，请确保在Apple平台且已安装mlx_whisper")
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raise ImportError("MLX Whisper 不可用，请确保在Apple平台且已安装mlx_whisper")
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if _transcribers['mlx-whisper'] is None:
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logger.info(f'创建 MLX Whisper 转录器实例，参数：{model_size}')
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try:
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_transcribers['mlx-whisper'] = MLXWhisperTranscriber(model_size=model_size)
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logger.info('MLX Whisper 转录器创建成功')
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except Exception as e:
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logger.error(f"MLX Whisper 转录器创建失败: {e}")
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raise
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return _transcribers['mlx-whisper']
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def get_transcriber(transcriber_type="fast-whisper", model_size="base", device="cuda"):
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"""
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获取指定类型的转录器实例
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参数:
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transcriber_type: 转录器类型，支持 "fast-whisper", "bcut", "kuaishou", "mlx-whisper"(仅Apple平台)
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model_size: 模型大小，whisper 和 mlx-whisper 特有参数
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device: 设备类型，whisper 特有参数
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返回:
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对应类型的转录器实例
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"""
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logger.info(f'获取转录器，类型: {transcriber_type}')
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if transcriber_type == "fast-whisper":
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whisper_model_size = os.environ.get("WHISPER_MODEL_SIZE",model_size)
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return get_whisper_transcriber(whisper_model_size, device=device)
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elif transcriber_type == "mlx-whisper":
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whisper_model_size = os.environ.get("WHISPER_MODEL_SIZE",model_size)
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if not MLX_WHISPER_AVAILABLE:
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logger.warning("MLX Whisper 不可用，回退到 fast-whisper")
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return get_whisper_transcriber(whisper_model_size, device=device)
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return get_mlx_whisper_transcriber(whisper_model_size)
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elif transcriber_type == "bcut":
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return get_bcut_transcriber()
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elif transcriber_type == "kuaishou":
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return get_kuaishou_transcriber()
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else:
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logger.warning(f'未知转录器类型 "{transcriber_type}"，使用默认 whisper')
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whisper_model_size = os.environ.get("WHISPER_MODEL_SIZE",model_size)
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return get_whisper_transcriber(whisper_model_size, device) |