Fix issue where old model was being reused instead of the new one (#205)

`predict_wrapper` references the global variable `loaded_model` which
was never being updated, meaning that mlflow.genai.evaluate was not
executed with the intended model

Author: johnkdb

product_demos/Data-Science/ai-agent/02-agent-eval/02.1_agent_evaluation.py

@@ -281,6 +281,9 @@ def get_scorers():
 
 # COMMAND ----------
 
+# Load the model to be used in evaluation via `predict_wrapper`
+loaded_model = mlflow.pyfunc.load_model(f"runs:/{logged_agent_info.run_id}/agent")
+
 with mlflow.start_run(run_name='eval_with_reasoning_instructions'):
     results = mlflow.genai.evaluate(data=eval_dataset, predict_fn=predict_wrapper, scorers=scorers)