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| class CreateCandidateAnswers(dspy.Signature): | |
| """Generate a candidate answer""" | |
| question = dspy.InputField(desc="Initial question") | |
| candidate = dspy.OutputField(desc="Generate a candidate answer to the initial question") | |
| class SelectCandidateResponse(dspy.Signature): | |
| """Select the best candidate response""" | |
| question = dspy.InputField(desc="Initial question") | |
| context = dspy.InputField(desc="The candidate answers") | |
| answer = dspy.OutputField(desc="Use the candidate answers to generate a response to the initial question") | |
| class MultiChainComp(dspy.Module): | |
| def __init__(self, num_requests=3): | |
| super().__init__() | |
| # Declare modules | |
| self.num_requests = num_requests | |
| self.generate_candidate_answer = dspy.Predict(signature=CreateCandidateAnswers, n=num_requests) | |
| self.answer = dspy.Predict(signature=SelectCandidateResponse) | |
| def forward(self, question): | |
| # Declare program to execute | |
| context = [] | |
| candidate_answer = self.generate_candidate_answer(question=question) | |
| for i in range(self.num_requests): | |
| context.append(f"\ncandidate_answer_{i+1}: {candidate_answer.completions[i].candidate}") | |
| context_str = ''.join(context) | |
| return self.answer(question=question, context=context_str) |
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