avoid high scores in evaluation

utils.py

@@ -72,11 +72,11 @@ def modify_with_suggestion(task_description, text, suggestions, api_key = None):
 def get_evaluation_with_gpt(task_description, text, api_key=None):
     prompt = (
         f"Given the task: {task_description}, the provided answer is: {text}\n"
-        f"Evaluate the answer based on these revised criteria, using a scale from 0 to 10. Scores should reflect stricter quality thresholds:\n"
+        f"Evaluate the answer using a scale from 0 to 10. Scores should reflect stricter quality thresholds:\n"
         f"0-4: Below average. The answer includes some relevant ideas but has no valuable contribution.\n"
-        f"5-7: Fair to average quality. The answer is relevant, with some specific insights but minor weaknesses.\n"
+        f"5-7: Fair to average quality. The answer is relevant, with some specific insights.\n"
         f"8-10: Good to excellent quality. The answer is insightful, valuable, and actionable.\n"
-        f"When evaluating, use the entire scoring range and avoid defaulting to mid-range scores unless clearly warranted.\n\n"
+        f"When evaluating, use the entire scoring range and avoid defaulting to mid-range scores.\n\n"
         f"Evaluate based on the criteria:\n\n"
         f"Novelty: The uniqueness and innovation of the ideas."
         f"Implementability: The practicality of suggested actions.\n"
@@ -86,6 +86,6 @@ def get_evaluation_with_gpt(task_description, text, api_key=None):
         f"Novelty: [Score]\nComment: [Short comment on Novelty]\n"
         f"Implementability: [Score]\nComment: [Short comment on Implementability]\n"
         f"Defensibility: [Score]\nComment: [Short comment on Defensibility]\n"
-        f"Overall Score: [Score]\nOverall Comment: [Overall feedback on the answer]\n"
+        f"Overall Score: [Score]\nOverall Comment: [Overall feedback]\n"
     )
     return generate_text_with_gpt(prompt, api_key)