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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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UDFs

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transcribe() udf

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
Signature: 
transcribe(
    audio: Audio,
    model: String,
    temperature: Optional[Json],
    compression_ratio_threshold: Optional[Float],
    logprob_threshold: Optional[Float],
    no_speech_threshold: Optional[Float],
    condition_on_previous_text: Bool,
    initial_prompt: Optional[String],
    word_timestamps: Bool,
    prepend_punctuations: String,
    append_punctuations: String,
    decode_options: Optional[Json]
)-> Json
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'))