How to add initial_prompt to it?
#2
by
doggy8088
- opened
Does whisper have an initial prompt?
Yes, it does. There is a --initial_prompt INITIAL_PROMPT
argument. See whisper --help
.
# whisper --help
usage: whisper [-h] [--model MODEL] [--model_dir MODEL_DIR] [--device DEVICE] [--output_dir OUTPUT_DIR]
[--output_format {txt,vtt,srt,tsv,json,all}] [--verbose VERBOSE] [--task {transcribe,translate}]
[--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,yue,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Cantonese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Mandarin,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}]
[--temperature TEMPERATURE] [--best_of BEST_OF] [--beam_size BEAM_SIZE] [--patience PATIENCE] [--length_penalty LENGTH_PENALTY]
[--suppress_tokens SUPPRESS_TOKENS] [--initial_prompt INITIAL_PROMPT] [--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT]
[--fp16 FP16] [--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK]
[--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD] [--logprob_threshold LOGPROB_THRESHOLD]
[--no_speech_threshold NO_SPEECH_THRESHOLD] [--word_timestamps WORD_TIMESTAMPS] [--prepend_punctuations PREPEND_PUNCTUATIONS]
[--append_punctuations APPEND_PUNCTUATIONS] [--highlight_words HIGHLIGHT_WORDS] [--max_line_width MAX_LINE_WIDTH]
[--max_line_count MAX_LINE_COUNT] [--max_words_per_line MAX_WORDS_PER_LINE] [--threads THREADS]
[--clip_timestamps CLIP_TIMESTAMPS] [--hallucination_silence_threshold HALLUCINATION_SILENCE_THRESHOLD]
audio [audio ...]
positional arguments:
audio audio file(s) to transcribe
options:
-h, --help show this help message and exit
--model MODEL name of the Whisper model to use (default: turbo)
--model_dir MODEL_DIR
the path to save model files; uses ~/.cache/whisper by default (default: None)
--device DEVICE device to use for PyTorch inference (default: cuda)
--output_dir OUTPUT_DIR, -o OUTPUT_DIR
directory to save the outputs (default: .)
--output_format {txt,vtt,srt,tsv,json,all}, -f {txt,vtt,srt,tsv,json,all}
format of the output file; if not specified, all available formats will be produced (default: all)
--verbose VERBOSE whether to print out the progress and debug messages (default: True)
--task {transcribe,translate}
whether to perform X->X speech recognition ('transcribe') or X->English translation ('translate') (default: transcribe)
--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,yue,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Cantonese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Mandarin,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}
language spoken in the audio, specify None to perform language detection (default: None)
--temperature TEMPERATURE
temperature to use for sampling (default: 0)
--best_of BEST_OF number of candidates when sampling with non-zero temperature (default: 5)
--beam_size BEAM_SIZE
number of beams in beam search, only applicable when temperature is zero (default: 5)
--patience PATIENCE optional patience value to use in beam decoding, as in https://arxiv.org/abs/2204.05424, the default (1.0) is equivalent
to conventional beam search (default: None)
--length_penalty LENGTH_PENALTY
optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144, uses simple length
normalization by default (default: None)
--suppress_tokens SUPPRESS_TOKENS
comma-separated list of token ids to suppress during sampling; '-1' will suppress most special characters except common
punctuations (default: -1)
--initial_prompt INITIAL_PROMPT
optional text to provide as a prompt for the first window. (default: None)
--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT
if True, provide the previous output of the model as a prompt for the next window; disabling may make the text
inconsistent across windows, but the model becomes less prone to getting stuck in a failure loop (default: True)
--fp16 FP16 whether to perform inference in fp16; True by default (default: True)
--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK
temperature to increase when falling back when the decoding fails to meet either of the thresholds below (default: 0.2)
--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD
if the gzip compression ratio is higher than this value, treat the decoding as failed (default: 2.4)
--logprob_threshold LOGPROB_THRESHOLD
if the average log probability is lower than this value, treat the decoding as failed (default: -1.0)
--no_speech_threshold NO_SPEECH_THRESHOLD
if the probability of the <|nospeech|> token is higher than this value AND the decoding has failed due to
`logprob_threshold`, consider the segment as silence (default: 0.6)
--word_timestamps WORD_TIMESTAMPS
(experimental) extract word-level timestamps and refine the results based on them (default: False)
--prepend_punctuations PREPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation symbols with the next word (default: "'“¿([{-)
--append_punctuations APPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation symbols with the previous word (default: "'.。,,!!??::”)]}、)
--highlight_words HIGHLIGHT_WORDS
(requires --word_timestamps True) underline each word as it is spoken in srt and vtt (default: False)
--max_line_width MAX_LINE_WIDTH
(requires --word_timestamps True) the maximum number of characters in a line before breaking the line (default: None)
--max_line_count MAX_LINE_COUNT
(requires --word_timestamps True) the maximum number of lines in a segment (default: None)
--max_words_per_line MAX_WORDS_PER_LINE
(requires --word_timestamps True, no effect with --max_line_width) the maximum number of words in a segment (default:
None)
--threads THREADS number of threads used by torch for CPU inference; supercedes MKL_NUM_THREADS/OMP_NUM_THREADS (default: 0)
--clip_timestamps CLIP_TIMESTAMPS
comma-separated list start,end,start,end,... timestamps (in seconds) of clips to process, where the last end timestamp
defaults to the end of the file (default: 0)
--hallucination_silence_threshold HALLUCINATION_SILENCE_THRESHOLD
(requires --word_timestamps True) skip silent periods longer than this threshold (in seconds) when a possible
hallucination is detected (default: None)