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llmtune/cli/toolkit.py

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@@ -77,17 +77,13 @@ def run_one_experiment(config: Config, config_path: str) -> None:
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RichUI.before_qa()
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qa_path = dir_helper.save_paths.qa
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if not exists(qa_path) or not listdir(qa_path):
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# TODO: Instantiate unit test classes
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llm_tests = config.get("qa", {}).get("llm_tests", [])
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tests = QaTestRegistry.create_tests_from_list(llm_tests)
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# TODO: Load results.csv
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results_df = pd.read_csv(results_file_path)
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prompts = results_df["prompt"].tolist()
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ground_truths = results_df["ground_truth"].tolist()
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model_preds = results_df["model_prediction"].tolist()
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# TODO: Run Unit Tests
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test_suite = LLMTestSuite(tests, prompts, ground_truths, model_preds)
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# TODO: Save Unit Test Results
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test_suite.save_test_results("unit_test_results.csv")
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