mirror of
https://github.com/shirayu/whispering.git
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32 lines
811 B
Python
32 lines
811 B
Python
#!/usr/bin/env python3
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from typing import List, Optional, Tuple
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from pydantic import BaseModel
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class WhisperConfig(BaseModel):
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model_name: str
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device: str
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language: str
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temperatures: Tuple[float, ...] = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0)
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compression_ratio_threshold: Optional[float] = 2.4
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logprob_threshold: Optional[float] = -1.0
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no_captions_threshold: Optional[float] = 0.6
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best_of: int = 5
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beam_size: Optional[int] = None
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no_speech_threshold: Optional[float] = 0.6
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logprob_threshold: Optional[float] = -1.0
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compression_ratio_threshold: Optional[float] = 2.4
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class ParsedChunk(BaseModel):
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start: float
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end: float
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text: str
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tokens: List[int]
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temperature: float
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avg_logprob: float
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compression_ratio: float
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no_speech_prob: float
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