Cesar Mendivil
c22767d3d4
- Updated `srt_to_kokoro.py` to provide a CLI entrypoint with argument parsing. - Enhanced error handling and logging for better user feedback. - Introduced a compatibility layer for legacy scripts. - Added configuration handling via `config.toml` for endpoint and API key. - Improved documentation and comments for clarity. Enhance PipelineOrchestrator with in-process transcriber fallback - Implemented `InProcessTranscriber` to handle transcription using multiple strategies. - Added support for `srt_only` flag to return translated SRT without TTS synthesis. - Improved error handling and logging for transcriber initialization. Add installation and usage documentation - Created `INSTALLATION.md` for detailed setup instructions for CPU and GPU environments. - Added `USAGE.md` with practical examples for common use cases and command-line options. - Included a script for automated installation and environment setup. Implement SRT burning utility - Added `burn_srt.py` to facilitate embedding SRT subtitles into video files using ffmpeg. - Provided command-line options for style and codec customization. Update project configuration management - Introduced `config.py` to centralize configuration loading from `config.toml`. - Ensured that environment variables are not read to avoid implicit overrides. Enhance package management with `pyproject.toml` - Added `pyproject.toml` for modern packaging and dependency management. - Defined optional dependencies for CPU and TTS support. Add smoke test fixture for SRT - Created `smoke_test.srt` as a sample subtitle file for testing purposes. Update requirements and setup configurations - Revised `requirements.txt` and `setup.cfg` for better dependency management and clarity. - Included installation instructions for editable mode and local TTS support.
25 lines
552 B
Python
25 lines
552 B
Python
from dataclasses import dataclass
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from typing import Optional
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@dataclass
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class Segment:
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start: float
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end: float
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text: str = ""
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@dataclass
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class PipelineResult:
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"""Resultado de la pipeline.
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Campos opcionales porque en ciertos modos (por ejemplo `--srt-only`) no se
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generan artefactos como WAVs o vídeos.
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"""
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workdir: str
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dub_wav: Optional[str] = None
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replaced_video: Optional[str] = None
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burned_video: Optional[str] = None
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srt_translated: Optional[str] = None
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srt_original: Optional[str] = None
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