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Developed by | Guardrails AI |
Date of development | Feb 15, 2024 |
Validator type | Brand risk |
Blog | |
License | Apache 2 |
Input/Output | Output |
This validator ensures that there’s no profanity in any generated text. This validator uses the alt-profanity-check
package to check if a string contains profane language.
This validator catches profanity in the English language only.
$ guardrails hub install hub://guardrails/profanity_free
In this example, we apply the validator to a string output generated by an LLM.
# Import Guard and Validator
from guardrails.hub import ProfanityFree
from guardrails import Guard
# Use the Guard with the validator
guard = Guard().use(
ProfanityFree, on_fail="exception"
)
guard.validate(
"""
Director Denis Villeneuve's Dune is a visually stunning and epic adaptation of the classic science fiction novel.
It is reminiscent of the original Star Wars trilogy, with its grand scale and epic storytelling.
"""
) # Test passing response
try:
guard.validate(
"""
He is such a dickhead and a fucking idiot.
"""
) # Test failing response
except Exception as e:
print(e)
Output:
Validation failed for field with errors:
He is such a dickhead and a fucking idiot.
contains profanity. Please return profanity-free output.
__init__(self, on_fail="noop")
Initializes a new instance of the Validator class.
Parameters
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.__call__(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.