paddlespeech.cli.text.infer module

class paddlespeech.cli.text.infer.TextExecutor

Bases: BaseExecutor

Methods

disable_task_loggers()	Disable all loggers in current task.
execute(argv)	Command line entry.
get_input_source(input_)	Get task input source from command line input.
infer()	Model inference and result stored in self.output.
postprocess([isNewTrainer])	Output postprocess and return human-readable results such as texts and audio files.
preprocess(text)	Input preprocess and return paddle.Tensor stored in self.input.
process_task_results(input_, results[, ...])	Handling task results and redirect stdout if needed.
show_rtf(info)	Calculate rft of current task and show results.

__call__

execute(argv: List[str]) → bool

Command line entry.

infer()

Model inference and result stored in self.output.

postprocess(isNewTrainer: bool = False) → Union[str, PathLike]

Output postprocess and return human-readable results such as texts and audio files.

preprocess(text: Union[str, PathLike])

Input preprocess and return paddle.Tensor stored in self.input. Input content can be a text(tts), a file(asr, cls) or a streaming(not supported yet).