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Pixeltable UDF 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. View source on GitHub

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udf transcribe()

transcribe(
    audio: Audio,
    *,
    model: String,
    temperature: Json | None = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0),
    compression_ratio_threshold: Float | None = 2.4,
    logprob_threshold: Float | None = -1.0,
    no_speech_threshold: Float | None = 0.6,
    condition_on_previous_text: Bool = True,
    initial_prompt: String | None = None,
    word_timestamps: Bool = False,
    prepend_punctuations: String = '"\'“¿([{-',
    append_punctuations: String = '"\'.。,，!！?？:：”)]}、',
    decode_options: Json | None = None
) -> Json
Transcribe an audio file using Whisper. This UDF runs a transcription model locally using the Whisper library, equivalent to the Whisper transcribe function, as described in the Whisper library documentation. Requirements:
  • pip install openai-whisper
Parameters:
  • audio (Audio): The audio file to transcribe.
  • model (String): The name of the model to use for transcription.
Returns:
  • Json: A dictionary containing the transcription and various other metadata.
Example: 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'))