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evals/evaluation/deepeval/README.md

@@ -30,15 +30,17 @@ from deepeval import assert_test
 from deepeval.metrics import AnswerRelevancyMetric
 from deepeval.test_case import LLMTestCase
 
+
 def test_case():
     from evals.evaluation.deepeval.models.endpoint_models import TGIEndpointModel
+
     endpoint = TGIEndpointModel(model="http://localhost:{your_llm_port}/generate")
     answer_relevancy_metric = AnswerRelevancyMetric(threshold=0.5, model=endpoint)
     test_case = LLMTestCase(
         input="What if these shoes don't fit?",
         # Replace this with the actual output from your LLM application
         actual_output="We offer a 30-day full refund at no extra costs.",
-        retrieval_context=["All customers are eligible for a 30 day full refund at no extra costs."]
+        retrieval_context=["All customers are eligible for a 30 day full refund at no extra costs."],
     )
     assert_test(test_case, [answer_relevancy_metric])
 ```