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module pixeltable.functions.whisper
Pixeltable UDFs
that wraps the OpenAI Whisper library.
This UDF will cause Pixeltable to invoke the relevant model locally. In order to use it, you must
first pip install openai-whisper.
udf transcribe()
@pxt.udf
transcribe(
audio: pxt.Audio,
*,
model: pxt.String,
temperature: pxt.Json[(Float, ...)] | None = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0),
compression_ratio_threshold: pxt.Float | None = 2.4,
logprob_threshold: pxt.Float | None = -1.0,
no_speech_threshold: pxt.Float | None = 0.6,
condition_on_previous_text: pxt.Bool = True,
initial_prompt: pxt.String | None = None,
word_timestamps: pxt.Bool = False,
prepend_punctuations: pxt.String = '"\'“¿([{-',
append_punctuations: pxt.String = '"\'.。,，!！?？:：”)]}、',
decode_options: pxt.Json | None = None
) -> pxt.Json
transcribe function, as described in the
Whisper library documentation.
Requirements:
pip install openai-whisper
Parameters:
audio (pxt.Audio): The audio file to transcribe.model (pxt.String): The name of the model to use for transcription.
Returns:
pxt.Json: A dictionary containing the transcription and various other metadata.
Examples:
Add a computed column that applies the model base.en to an existing Pixeltable column tbl.audio
of the table tbl:
tbl.add_computed_column(result=transcribe(tbl.audio, model='base.en'))
