Take forever to evaluate one case

[lvying603-kjm]

Hi, I tried to follow the instruction and test the example but it takes forever to finish it. I am using my personal OPENAI_API_KEY, which does not have money. May I it is because openai model is not free so it runs forever.

from deepeval import assert_test
from deepeval.test_case import LLMTestCase, LLMTestCaseParams
from deepeval.metrics import GEval

def test_correctness():
correctness_metric = GEval(
name="Correctness",
criteria="Determine if the 'actual output' is correct based on the 'expected output'.",
evaluation_params=[LLMTestCaseParams.ACTUAL_OUTPUT, LLMTestCaseParams.EXPECTED_OUTPUT],
threshold=0.5,
model="gpt-4o"
)
test_case = LLMTestCase(
input="I have a persistent cough and fever. Should I be worried?",
# Replace this with the actual output of your LLM application
actual_output="A persistent cough and fever could be a viral infection or something more serious. See a doctor if symptoms worsen or don't improve in a few days.",
expected_output="A persistent cough and fever could indicate a range of illnesses, from a mild viral infection to more serious conditions like pneumonia or COVID-19. You should seek medical attention if your symptoms worsen, persist for more than a few days, or are accompanied by difficulty breathing, chest pain, or other concerning signs."
)
assert_test(test_case, [correctness_metric])