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.
61 lines
1.8 KiB
Plaintext
61 lines
1.8 KiB
Plaintext
# Dependencias de alto nivel para instalar todo lo necesario en el proyecto
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# Instalar con:
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# python -m pip install -r requirements.txt
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# IMPORTANT: This requirements file targets CPU-only installations.
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# For packages that provide GPU vs CPU wheels (notably `torch`), we
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# recommend installing the CPU builds explicitly. Example recommended
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# command to install CPU-only PyTorch:
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#
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# python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
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#
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# If you prefer to keep everything in one step, run:
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#
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# python -m pip install --index-url https://download.pytorch.org/whl/cpu -r requirements.txt
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# Core
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python-dateutil
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numpy
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# Audio / multimedia
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ffmpeg-python
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av
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soundfile
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librosa
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# Transcripción / modelos
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# Recomendado: instalar la build CPU de torch usando el índice oficial
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# de PyTorch (ver comentario arriba). No forzamos la URL aquí para
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# mantener compatibilidad, pero si instalas desde este fichero y no
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# quieres GPU, usa el comando recomendado.
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torch==2.2.2
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# faster-whisper: versión probada en este entorno
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faster-whisper==1.2.0
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transformers==4.34.0
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tokenizers==0.13.3
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sentencepiece==0.1.99
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huggingface-hub==0.16.4
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# Traducción
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sacremoses==0.0.53
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ctranslate2==3.18.0
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# ONNX Runtime (CPU). Si necesitas GPU, instala la variante apropiada.
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onnxruntime==1.15.1
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# TTS (Coqui TTS and fallbacks)
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TTS==0.13.0
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pyttsx3==2.90
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# Networking / utils
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requests==2.31.0
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tqdm==4.66.1
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coloredlogs==15.0.1
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humanfriendly==10.0
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flatbuffers==23.5.26
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# Notas:
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# - He fijado versiones compatibles con Python 3.11 y enfoque CPU. Si prefieres
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# otras versiones o quieres soporte GPU, dime y actualizo los pins.
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# - Para `torch` en CPU, usa el índice oficial de PyTorch como se muestra arriba.
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# - `TTS` (Coqui) puede descargar modelos en la primera ejecución; consulta la
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# documentación de Coqui para descargar modelos offline si lo deseas. |