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whisper_stt_arguments.py 2.09 KiB
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  • from dataclasses import dataclass, field
    
    from typing import Optional
    
    
    
    @dataclass
    class WhisperSTTHandlerArguments:
    
        language: Optional[str] = field(
            default=None,
            metadata={
                "help": "The language for the conversation. Default is None."
            },
        )
    
        stt_model_name: str = field(
            default="distil-whisper/distil-large-v3",
            metadata={
                "help": "The pretrained Whisper model to use. Default is 'distil-whisper/distil-large-v3'."
            },
        )
        stt_device: str = field(
            default="cuda",
            metadata={
                "help": "The device type on which the model will run. Default is 'cuda' for GPU acceleration."
            },
        )
        stt_torch_dtype: str = field(
            default="float16",
            metadata={
                "help": "The PyTorch data type for the model and input tensors. One of `float32` (full-precision), `float16` or `bfloat16` (both half-precision)."
            },
        )
        stt_compile_mode: str = field(
            default=None,
            metadata={
                "help": "Compile mode for torch compile. Either 'default', 'reduce-overhead' and 'max-autotune'. Default is None (no compilation)"
            },
        )
        stt_gen_max_new_tokens: int = field(
            default=128,
            metadata={
                "help": "The maximum number of new tokens to generate. Default is 128."
            },
        )
        stt_gen_num_beams: int = field(
            default=1,
            metadata={
                "help": "The number of beams for beam search. Default is 1, implying greedy decoding."
            },
        )
        stt_gen_return_timestamps: bool = field(
            default=False,
            metadata={
                "help": "Whether to return timestamps with transcriptions. Default is False."
            },
        )
        stt_gen_task: str = field(
            default="transcribe",
            metadata={
                "help": "The task to perform, typically 'transcribe' for transcription. Default is 'transcribe'."
            },
        )
    
        language: Optional[str] = field(
            default=None,
    
                "help": "The language for the conversation. Default is None."