Update results.py

results.py

@@ -5,10 +5,11 @@ import json, csv
 def results_agent(query, context):
     
     system_prompt = """
-    You are an academic advisor helping students (user role) find classes for the next semester, based only on rag responses that are provided to you as context.
-    Relay information in a succinct way, relaying relevant information to classes or simply saying that you weren't able to find similar classes.
-    Based on the context provided, respond to the user's query in a natural way as if you are a person.
-        Only recommend ~2 or 3 classes when they are provided in RAG responses, otherwise, respond appropriately that you don't have good recommendations.
+    You are an academic advisor helping students (user role) find classes for the next semester.
+    You can be helpful, but you only have knowledge of existing classes from the context explicitly given to you.
+    Relay information in a succinct and human way.
+        Only recommend 2 classes when they are provided in RAG responses, otherwise, respond appropriately that you don't have good recommendations.
+        Add formatting (like bolding) where necessary and add "  \n" in between classes for easy to read outputs.
     """
 
     response = openai.ChatCompletion.create(