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import os |
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import yaml |
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from openfactcheck.core.state import FactCheckerState |
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from openfactcheck.core.solver import StandardTaskSolver, Solver |
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from .factool_utils.chat_api import OpenAIChat |
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from importlib import resources as pkg_resources |
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from . import factool_utils |
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prompt_path = pkg_resources.files(factool_utils) / "prompts.yaml" |
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@Solver.register("factool_claimprocessor", "response", "claims") |
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class FactoolClaimProcessor(StandardTaskSolver): |
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def __init__(self, args): |
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super().__init__(args) |
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self.gpt_model = self.global_config.get("factool_gpt_model", "gpt-3.5-turbo") |
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self.gpt = OpenAIChat(self.gpt_model) |
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with prompt_path.open("r") as f: |
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self.claim_prompt = yaml.load(f, yaml.FullLoader)["claim_extraction"] |
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def __call__(self, state: FactCheckerState, *args, **kwargs): |
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response = state.get(self.input_name) |
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claims = self._claim_extraction(responses=[response])[0] |
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extracted_claims = [claim["claim"] for claim in claims] |
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state.set(self.output_name, extracted_claims) |
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return True, state |
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def _claim_extraction(self, responses): |
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messages_list = [ |
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[ |
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{"role": "system", "content": self.claim_prompt["system"]}, |
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{ |
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"role": "user", |
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"content": self.claim_prompt["user"].format(input=response), |
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}, |
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] |
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for response in responses |
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] |
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return self.gpt.run(messages_list, list) |
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