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| """ | |
| Transcriber interface definition | |
| """ | |
| from abc import ABC, abstractmethod | |
| from typing import Dict, Any, List, Optional | |
| from dataclasses import dataclass | |
| class TranscriptionSegment: | |
| """Transcription segment data class""" | |
| start: float | |
| end: float | |
| text: str | |
| speaker: Optional[str] = None | |
| confidence: Optional[float] = None | |
| class TranscriptionResult: | |
| """Transcription result data class""" | |
| text: str | |
| segments: List[TranscriptionSegment] | |
| language: str | |
| model_used: str | |
| audio_duration: float | |
| processing_time: float | |
| speaker_diarization_enabled: bool = False | |
| global_speaker_count: int = 0 | |
| error_message: Optional[str] = None | |
| class ITranscriber(ABC): | |
| """Interface for audio transcription""" | |
| async def transcribe( | |
| self, | |
| audio_file_path: str, | |
| model_size: str = "turbo", | |
| language: Optional[str] = None, | |
| enable_speaker_diarization: bool = False | |
| ) -> TranscriptionResult: | |
| """ | |
| Transcribe audio file | |
| Args: | |
| audio_file_path: Path to audio file | |
| model_size: Model size to use | |
| language: Language code (None for auto-detect) | |
| enable_speaker_diarization: Whether to enable speaker detection | |
| Returns: | |
| TranscriptionResult object | |
| """ | |
| pass | |
| def get_supported_models(self) -> List[str]: | |
| """Get list of supported model sizes""" | |
| pass | |
| def get_supported_languages(self) -> List[str]: | |
| """Get list of supported language codes""" | |
| pass |