73 lines
3.6 KiB
Python
73 lines
3.6 KiB
Python
import openai
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import random
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import sys
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import time
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from easyjailbreak.mutation import MutationBase
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class ApplyGPTMutation(MutationBase):
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r"""
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The 'ApplyGPTMutation' class, inheriting from 'MutationBase', is designed to apply
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mutations to text instances using GPT-generated modifications. This class specifically
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utilizes OpenAI's GPT models to mutate text based on a given mutation rate.
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"""
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def __init__(self, attr_name="attack_attrs", API_key=None, mutation_rate=0.01):
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r"""
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Initializes the ApplyGPTMutation instance with an API key, attribute name, and mutation rate.
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:param str attr_name: The attribute name in the instance where the candidate prompts are stored.
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:param str|None API_key: The API key for accessing OpenAI's GPT models.
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:param float mutation_rate: The rate at which mutations are applied to text instances.
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"""
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self.API_key = API_key
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self.attr_name = attr_name
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self.mutation_rate = mutation_rate
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def _get_mutated_instance(self, instance, **kwargs):
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r"""
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Generates a mutated instance of the given object using GPT model-based mutations.
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:param instance: The instance to be mutated.
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:param kwargs: Additional keyword arguments.
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:return: A list containing the mutated instance.
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"""
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mutated_prompts = []
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seeds = getattr(instance, self.attr_name)["candidate_prompts"]
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for seed in seeds:
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if random.random() < self.mutation_rate:
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mutated_prompts.append(self.gpt_mutate(seed, self.API_key))
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new_instance = instance.copy()
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# setattr(new_instance, self.attr_name, mutated_prompts)
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new_instance.attack_attrs["candidate_prompts"] = mutated_prompts
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return [new_instance]
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def gpt_mutate(self, sentence, API_key):
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r"""
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Applies GPT model-based mutations to a given sentence.
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:param str sentence: The sentence to be mutated.
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:param str API_key: The API key for accessing the GPT model.
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:return str: The mutated version of the sentence.
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"""
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client = openai.OpenAI(api_key=API_key)
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system_msg = 'You are a helpful and creative assistant who writes well.'
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user_message = f"Please revise the following sentence with no changes to its length and only output the revised version, the sentences are: \n '{sentence}'."
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revised_sentence = sentence
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received = False
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while not received:
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try:
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response = client.chat.completions.create(model="gpt-4",
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messages=[{"role": "system", "content": system_msg},
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{"role": "user", "content": user_message}],
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temperature=1, top_p=0.9)
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revised_sentence = response.choices[0].message.content.replace('\n', '')
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received = True
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except:
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error = sys.exc_info()[0]
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print("error:", error)
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time.sleep(1)
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if revised_sentence.startswith("'") or revised_sentence.startswith('"'):
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revised_sentence = revised_sentence[1:]
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if revised_sentence.endswith("'") or revised_sentence.endswith('"'):
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revised_sentence = revised_sentence[:-1]
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if revised_sentence.endswith("'.") or revised_sentence.endswith('".'):
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revised_sentence = revised_sentence[:-2]
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print(f'revised: {revised_sentence}')
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return revised_sentence
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