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Developed by | SCB 10X |
---|---|
Date of development | Feb 15, 2024 |
Validator type | Quality |
Blog | - |
License | Apache 2 |
Input/Output | Output |
Validate that an LLM-generated text is in the expected language. If the text is not in the expected language, the validator will attempt to translate it to the expected language.
Use fast-langdetect
library to detect the language of the input text,
and iso-language-codes
library to get the language names from the ISO codes.
Utilize Meta's facebook/nllb-200-distilled-600M
translation model (available on Huggingface) to translate the text from the detected language to the expected language.
$ guardrails hub install hub://scb-10x/correct_language
In this example, we apply the validator to a string output generated by an LLM.
# Import Guard and Validator
from guardrails.hub import CorrectLanguage
from guardrails import Guard
# Setup Guard
guard = Guard().use(
CorrectLanguage(expected_language_iso="en", threshold=0.75)
)
guard.validate("Thank you") # Validator passes
guard.validate("Danke") # Validator fails
__init__(self, on_fail="noop")
Initializes a new instance of the ValidatorTemplate class.
Parameters
expected_language_iso
(str): The ISO 639-1 code of the expected language. Defaults to "en".threshold
(float): The minimum confidence score required to accept the detected language.on_fail
(str, Callable): The policy to enact when a validator fails. If str
, must be one of reask
, fix
, filter
, refrain
, noop
, exception
or fix_reask
. Otherwise, must be a function that is called when the validator fails.validate(self, value, metadata) → ValidationResult
Validates the given value
using the rules defined in this validator, relying on the metadata
provided to customize the validation process. This method is automatically invoked by guard.parse(...)
, ensuring the validation logic is applied to the input data.
Note:
guard.parse(...)
where this method will be called internally for each associated Validator.guard.parse(...)
, ensure to pass the appropriate metadata
dictionary that includes keys and values required by this validator. If guard
is associated with multiple validators, combine all necessary metadata into a single dictionary.Parameters
value
(Any): The input value to validate.metadata
(dict): A dictionary containing metadata required for validation. No additional metadata keys are needed for this validator.The validator playground is available to authenticated users. Please log in to use it.