the “extra” keyword argument.
Parameters
subject (str) – The subject the synthetic data will be about.
runs (int) – Number of times to generate the data asynchronously.
extra (str) – Extra instructions for steerability in data generation.
Returns
List of generated synthetic data for the given subject.
Return type
List[str]
Usage Example:>>> results = await generator.agenerate(subject="climate change", runs=5,
extra="Focus on env impacts.")
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating
the new model: you should trust this data
deep – set to True to make a deep copy of the model
Returns
new model instance