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Subtitle generator using whisper LLM

usage: sibilate [-h] [-v] [-d] [-q] [-L] [--logfile F] [-m M] [-l L]
                [--ffmpeg FFMPEG] [-R DIR] [-s] [-b] [-S] [--srtfile F] [-T]
                [--txtfile F] [-W]
                inputfile

Subtitle generator using whisper LLM

positional arguments:
  inputfile           Input file with audio

options:
  -h, --help          show this help message and exit
  -v, --verbose       set loglevel to INFO
  -d, --debug         set loglevel to DEBUG
  -q, --quiet         set loglevel to CRITICAL
  -L, --Log           log to file also
  --logfile F         log file name (sibilate_log.txt)
  -m M, --model M     tiny, base, small, medium, large (default: base)
  -l L, --language L  language (default: en)
  --ffmpeg FFMPEG     path to ffmpeg A/V encoder
  -R DIR, --root DIR  download root (default: ~/.whisper_models)
  -s, --subtitles     add subtitles to input file
  -b, --burn          burn subtitles into input file
  -S, --srt           save transcription to srt file
  --srtfile F         srt file (default: sibilate.srt)
  -T, --txt           save transcription to txt file
  --txtfile F         txt file (default: sibilate.txt)
  -W, --whisper       install whisper package using git and pip

+--------+--------------+----------------+--------+
| Name   | Parameters   | English-only   | VRAM   |
+========+==============+================+========+
| tiny   | 39M          | tiny.en        | ~1GB   |
+--------+--------------+----------------+--------+
| base   | 74M          | base.en        | ~1GB   |
+--------+--------------+----------------+--------+
| small  | 244M         | small.en       | ~2GB   |
+--------+--------------+----------------+--------+
| medium | 769M         | medium.en      | ~5GB   |
+--------+--------------+----------------+--------+
| large  | 1550M        | N/A            | ~10GB  |
+--------+--------------+----------------+--------+

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

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