Example 5:    Question: What action is the U.S. Department of Justice taking to target Russian oligarchs?    Real Answer: The U.S. Department of Justice is assembling a dedicated task force to go after the crimes of Russian oligarchs and joining with European allies to find and seize their yachts, luxury apartments, and private jets.    Predicted Answer:  The U.S. Department of Justice is assembling a dedicated task force to go after the crimes of Russian oligarchs and to find and seize their yachts, luxury apartments, and private jets.    Predicted Grade:  INCORRECT        Example 6:    Question: How much direct assistance is the United States providing to Ukraine?    Real Answer: The United States is providing more than $1 Billion in direct assistance to Ukraine.    Predicted Answer:  The United States is providing more than $1 billion in direct assistance to Ukraine.    Predicted Grade:  CORRECT    Evaluate with Other Metricsâ€‹In addition to predicting whether the answer is correct or incorrect using a language model, we can also use other metrics to get a more nuanced view on the quality of the answers. To do so, we can use the Critique library, which allows for simple calculation of various metrics over generated text.First you can get an API key from the Inspired Cognition Dashboard and do some setup:export INSPIREDCO_API_KEY="..."pip install inspiredcoimport inspiredco.critiqueimport oscritique = inspiredco.critique.Critique(api_key=os.environ["INSPIREDCO_API_KEY"])Then run the following code to set up the configuration and calculate the ROUGE, chrf, BERTScore, and UniEval (you can choose other metrics too):metrics = {    "rouge": {