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| """ | |
| Audio processing interface definitions | |
| """ | |
| from abc import ABC, abstractmethod | |
| from typing import Dict, Any, List, Tuple, Iterator, Optional | |
| from dataclasses import dataclass | |
| class AudioSegment: | |
| """Audio segment representation""" | |
| start: float | |
| end: float | |
| file_path: str | |
| duration: float | |
| class IAudioProcessor(ABC): | |
| """Interface for audio processing operations""" | |
| async def split_audio_by_silence( | |
| self, | |
| audio_path: str, | |
| min_segment_length: float = 30.0, | |
| min_silence_length: float = 1.0 | |
| ) -> List[AudioSegment]: | |
| """Split audio file by silence detection""" | |
| pass | |
| async def process_audio_segment( | |
| self, | |
| segment: AudioSegment, | |
| model_name: str = "turbo", | |
| language: Optional[str] = None, | |
| enable_speaker_diarization: bool = False | |
| ) -> Dict[str, Any]: | |
| """Process a single audio segment""" | |
| pass | |
| async def process_complete_audio( | |
| self, | |
| audio_path: str, | |
| model_name: str = "turbo", | |
| language: Optional[str] = None, | |
| enable_speaker_diarization: bool = False, | |
| min_segment_length: float = 30.0 | |
| ) -> Dict[str, Any]: | |
| """Process complete audio file""" | |
| pass |