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t
        dd¬«       | j                  dt        d d¬«       | j                  dt        j                  j                  «       rdndd¬	«       | j                  ddt        d¬«       | j                  ddt        d¬«       | j                  ddt        g d¢d¬«       | j                  d d!t        d"d#¬«       | j                  d$d%t        d&g d'¢d(¬)«       | j                  d*t
        d+d,¬«       | j                  d-t        d g d.¢d/¬)«       | j                  d0t        d1d1d2gd3¬)«       | j                  d4t        d t        t        j                  «       «      t        t        j                  «       D �cg c]  }|j                  «       ‘Œ c}«      z   d5¬)«       | j                  d6d d7¬	«       | j                  d8d9g d:¢d;¬<«       | j                  d=d>d?¬@«       | j                  dAd>dB¬@«       | j                  dCt        dDdDdEgdF¬)«       | j                  dGt        dHdI¬«       | j                  dJt        dKdL¬«       | j                  dMt        dNdO¬«       | j                  dPd>dQ¬@«       | j                  dRd t        dS¬«       | j                  dTd t        dU¬«       | j                  dVdWt        dX¬«       | j                  dYd>dZ¬@«       | j                  d[t        dd\¬«       | j                  d]t         d^d_¬«       | j                  d`t         d^da¬«       | j                  dbt        dcdd¬«       | j                  det        dcdf¬«       | j                  dgt        dhdi¬«       | j                  djd>dk¬@«       | j                  dlt        d dm¬«       | j                  dnt        d do¬«       | j                  dpt
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        dd…¬«       | j                  d†t        d‡d‡dˆgd�¬)«       | j                  d‰t         ddŠ¬«       | j                  d‹t        d dŒ¬«       | j                  d�t
        ddŽ¬«       | j                  d�d�d‘d’t$        j&                  j)                  d“«      › �d”¬•«       | j                  d–d—d‘d˜t+        j,                  «       › d™t+        j.                  «       › dš�d›¬•«       | j1                  «       j2                  }|j5                  dœ«      }|j5                  d�«      }|�t7        |¬ž«       n|rt7        dŸ¬ž«       nt7        d ¬ž«       dd¡lm}  ||| «       y c c}w )¢N)Úformatter_classÚaudioú+zaudio file(s) to transcribe)ÚnargsÚtypeÚhelpz--modelÚsmallz name of the Whisper model to use)Údefaultr   z--model_cache_onlyFzZIf True, will not attempt to download models, instead using cached models from --model_dir)r   r   r   z--model_dirz>the path to save model files; uses ~/.cache/whisper by defaultz--deviceÚcudaÚcpuz9device type to use for PyTorch inference (e.g. cpu, cuda)z--device_indexr   z/device index to use for FasterWhisper inference)r   r   r   z--batch_sizeé   z&the preferred batch size for inferencez--compute_typer   )r   Úfloat16Úfloat32Úint8zKcompute type for computation; 'default' uses float16 on GPU, float32 on CPU)r   r   Úchoicesr   z--output_dirz-oú.zdirectory to save the outputsz--output_formatz-fÚall)r   ÚsrtÚvttÚtxtÚtsvÚjsonÚaudzSformat of the output file; if not specified, all available formats will be produced)r   r   r   r   z	--verboseTz4whether to print out the progress and debug messagesz--log-level)ÚdebugÚinfoÚwarningÚerrorÚcriticalz*logging level (overrides --verbose if set)z--taskÚ
transcribeÚ	translatezawhether to perform X->X speech recognition ('transcribe') or X->English translation ('translate')z
--languagezHlanguage spoken in the audio, specify None to perform language detectionz--align_modelz/Name of phoneme-level ASR model to do alignmentz--interpolate_methodÚnearest)r(   ÚlinearÚignorezaFor word .srt, method to assign timestamps to non-aligned words, or merge them into neighbouring.)r   r   r   z
--no_alignÚ
store_truez Do not perform phoneme alignment)Úactionr   z--return_char_alignmentsz9Return character-level alignments in the output json filez--vad_methodÚpyannoteÚsilerozVAD method to be usedz--vad_onsetg      à?zYOnset threshold for VAD (see pyannote.audio), reduce this if speech is not being detectedz--vad_offsetg¬Zd;×?z[Offset threshold for VAD (see pyannote.audio), reduce this if speech is not being detected.z--chunk_sizeé   zYChunk size for merging VAD segments. Default is 30, reduce this if the chunk is too long.z	--diarizez?Apply diarization to assign speaker labels to each segment/wordz--min_speakersz+Minimum number of speakers to in audio filez--max_speakersz+Maximum number of speakers to in audio filez--diarize_modelz(pyannote/speaker-diarization-community-1z,Name of the speaker diarization model to usez--speaker_embeddingszEInclude speaker embeddings in JSON output (only works with --diarize)z--temperatureztemperature to use for samplingz	--best_ofé   z<number of candidates when sampling with non-zero temperaturez--beam_sizezHnumber of beams in beam search, only applicable when temperature is zeroz
--patienceg      ð?z”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 searchz--length_penaltyz…optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144, uses simple length normalization by defaultz--suppress_tokensz-1z„comma-separated list of token ids to suppress during sampling; '-1' will suppress most special characters except common punctuationsz--suppress_numeralsztwhether to suppress numeric symbols and currency symbols during sampling, since wav2vec2 cannot align them correctlyz--initial_promptz:optional text to provide as a prompt for the first window.z
--hotwordszqhotwords/hint phrases to the model (e.g. "WhisperX, PyAnnote, GPU"); improves recognition of rare/technical termsz--condition_on_previous_textzÏif 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 loopz--fp16z5whether to perform inference in fp16; True by defaultz#--temperature_increment_on_fallbackgš™™™™™É?zhtemperature to increase when falling back when the decoding fails to meet either of the thresholds belowz--compression_ratio_thresholdg333333@zUif the gzip compression ratio is higher than this value, treat the decoding as failedz--logprob_thresholdg      ð¿zUif the average log probability is lower than this value, treat the decoding as failedz--no_speech_thresholdg333333ã?zžif the probability of the <|nospeech|> token is higher than this value AND the decoding has failed due to `logprob_threshold`, consider the segment as silencez--max_line_widthzb(not possible with --no_align) the maximum number of characters in a line before breaking the linez--max_line_countzG(not possible with --no_align) the maximum number of lines in a segmentz--highlight_wordszQ(not possible with --no_align) underline each word as it is spoken in srt and vttz--segment_resolutionÚsentenceÚchunkz	--threadsz]number of threads used by torch for CPU inference; supercedes MKL_NUM_THREADS/OMP_NUM_THREADSz
--hf_tokenz9Hugging Face Access Token to access PyAnnote gated modelsz--print_progresszFif True, progress will be printed in transcribe() and align() methods.z	--versionz-VÚversionz	%(prog)s Úwhisperxz*Show whisperx version information and exit)r,   r3   r   z--python-versionz-PzPython z (ú)z(Show python version information and exitÚ	log_levelÚverbose)Úlevelr"   r#   )Útranscribe_task)ÚargparseÚArgumentParserÚArgumentDefaultsHelpFormatterÚadd_argumentÚstrr   Útorchr   Úis_availableÚintÚsortedr   Úkeysr   ÚtitleÚfloatr   r   Ú	importlibÚmetadatar3   ÚplatformÚpython_versionÚpython_implementationÚ
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×ÑÐ*¨D¸ÈgÔV^×VmÑVmÓVoÐUpÐprÔs{÷  tRñ  tRó  tTð  sUð  UVð  MWð  ]GÐô  Hð ×ÑÓ×'Ñ'€Dà—‘˜Ó%€IØ�h‰h�yÓ!€GàÐÜ˜IÖ&Ù	Ü˜FÖ#ä˜IÕ&å3á�D˜&Õ!ùòI iUs   ÇX;Ú__main__)r:   Úimportlib.metadatarF   rH   r?   Úwhisperx.utilsr   r   r   r   r   Úwhisperx.log_utilsr   rS   Ú__name__© ó    rR   ú<module>r[      s9   ðÛ Û Û ã ÷4õ 4å ,òV"ðr ˆzÒÙ…Eð rZ   