Update results.py

results.py

@@ -5,15 +5,14 @@ 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. 
+    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 that fully answers their questions. 
-    You will be given a user's query, as well as the chat history and finally, the rag responses in context.
-        Please use your own discretion to determine form the rag responses (which have scores to help you, higher is better) the best way to respond to the user's query
-    Please add new lines, bolding/italicizing, formatting like "##" for headers to make it a pretty output as well.
+    You will be given a user's query, as well as the chat history and finally, the rag responses in context. Respond in a way that keeps conversation flow.
+        You should only recommend classes when they are provided in RAG responses, otherwise, respond appropriately.
     """
 
     response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
+        model="gpt-4",
         messages=[
             {"role": "system", "content": system_prompt},
             {"role": "user", "content": query},