metric.py

import openai
openai.api_key = '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'

def compute_metric(params):
    public_score = 0
    private_score = 0
    
    response = openai.Completion.create(
      engine="text-davinci-003",
      prompt="Rank the following statement on accuracy, with 10 being the most accurate and 0 the least: 'World War 2 ended in 1954.'\nScore:",
      temperature=0,
      max_tokens=1,
    )

    public_score = int(response.choices[0].text.strip())
    
    metric_dict = {
    "public_score": {"metric1": public_score},
    "private_score": {"metric1": private_score}
    }

    return metric_dict