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Honor explicit Whisper model selection
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@@ -83,13 +83,13 @@ def get_mlx_whisper_transcriber(model_size="base"):
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return _init_transcriber(TranscriberType.MLX_WHISPER, MLXWhisperTranscriber, model_size=model_size)
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# 通用入口
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def get_transcriber(transcriber_type="fast-whisper", model_size="base", device="cuda"):
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def get_transcriber(transcriber_type="fast-whisper", model_size=None, 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: 支持 "fast-whisper", "mlx-whisper", "bcut", "kuaishou", "groq"
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model_size: 模型大小,适用于 whisper 类
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model_size: 模型大小,适用于 whisper 类;未提供时才读取环境变量默认值
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device: 设备类型(如 cuda / cpu),仅 whisper 使用
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返回:
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@@ -103,7 +103,9 @@ def get_transcriber(transcriber_type="fast-whisper", model_size="base", device="
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logger.warning(f'未知转录器类型 "{transcriber_type}",默认使用 fast-whisper')
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transcriber_enum = TranscriberType.FAST_WHISPER
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whisper_model_size = os.environ.get("WHISPER_MODEL_SIZE", model_size)
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# The explicit value normally comes from the persisted frontend setting and
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# must take precedence over Docker's startup default.
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whisper_model_size = model_size or os.environ.get("WHISPER_MODEL_SIZE", "base")
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if transcriber_enum == TranscriberType.FAST_WHISPER:
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return get_whisper_transcriber(whisper_model_size, device=device)
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