d5afebd37c
This turned out pretty good overall. The algorithm has been moved from main.cpp to whisper.cpp and can be reused for all subtitles types. This means that now you can specify the maximum length of the generated lines. Simply provide the "-ml" argument specifying the max length in number of characters
35 lines
1.7 KiB
Markdown
35 lines
1.7 KiB
Markdown
# main
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This is the main example demonstrating most of the functionality of the Whisper model.
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It can be used as a reference for using the `whisper.cpp` library in other projects.
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```
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./main -h
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usage: ./bin/main [options] file0.wav file1.wav ...
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-h, --help show this help message and exit
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-s SEED, --seed SEED RNG seed (default: -1)
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-t N, --threads N number of threads to use during computation (default: 4)
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-p N, --processors N number of processors to use during computation (default: 1)
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-ot N, --offset-t N time offset in milliseconds (default: 0)
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-on N, --offset-n N segment index offset (default: 0)
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-mc N, --max-context N maximum number of text context tokens to store (default: max)
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-ml N, --max-len N maximum segment length in characters (default: 0)
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-wt N, --word-thold N word timestamp probability threshold (default: 0.010000)
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-v, --verbose verbose output
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--translate translate from source language to english
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-otxt, --output-txt output result in a text file
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-ovtt, --output-vtt output result in a vtt file
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-osrt, --output-srt output result in a srt file
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-owts, --output-words output script for generating karaoke video
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-ps, --print_special print special tokens
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-pc, --print_colors print colors
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-nt, --no_timestamps do not print timestamps
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-l LANG, --language LANG spoken language (default: en)
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-m FNAME, --model FNAME model path (default: models/ggml-base.en.bin)
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-f FNAME, --file FNAME input WAV file path
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-h, --help show this help message and exit
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```
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