modified custom question

app.py

@@ -147,7 +147,7 @@ def qa_automation(text: str):
         # "Did the agent get a promise to pay? Provide Details."
         "Rate the satisfaction of the customer on a scale of 10. 0 being worse and 10 being best.",
         #"Rate the customer effort on a scale of 0-10. 0 being the most effort spent by the customer and 10 being least effort:",
-        "How could the agent have made the call easier for the customer?"
+        "How could the agent have made the call easier for the customer in 3 simple steps?"
     ]
     answers = []
     for question in questions:
@@ -157,7 +157,8 @@ def qa_automation(text: str):
                 {"role": "system", "content": "You are an AI assistant evaluating a customer service call based on quality assurance criteria."},
                 {"role": "user", "content": f"Question: {question}\nTranscript: {text}\nAnswer:"}
             ],
-            max_tokens=450
+            max_tokens=250,
+            temperature=0.5
         )
         if response.choices:
             answer = response.choices[0].message.content.strip()
@@ -275,35 +276,71 @@ def check_agent_steps(text: str):
         
     return GenerateResponse4(text=results)
 
+# def custom_qa_automation(text: str, custom_question: str):
+#     # Ensure the custom question ends with "Provide Details."
+#     if not custom_question.strip().endswith("Provide Details."):
+#         custom_question = custom_question.strip() + " Provide Details."
+
+#     response = openai.Completion.create(
+#         engine="AmplifAI-Chat",
+#         prompt=f"Respons with a Yes/No followed by a reason. Question: {custom_question}\nTranscript: {text}\nAnswer:",
+#         temperature=0.2,
+#         max_tokens=100,
+#         top_p=1.0,
+#         frequency_penalty=0.0,
+#         presence_penalty=0.0,
+#         stop=["\n"]
+#     )
+#     answer = response.choices[0].text.strip()
+#     # Split the answer into the main answer (Yes/No) and the details
+#     if "Yes" in answer:
+#         main_answer, details = answer.split("Yes", 1)
+#         main_answer += "Yes"
+#     elif "No" in answer:
+#         main_answer, details = answer.split("No", 1)
+#         main_answer += "No"
+#     else:
+#         main_answer = answer
+#         details = "No additional details provided."
+
+#     # Format the answer with the "Comments:" tag in bold and on a new line
+#     formatted_answer = f"<p><b>Response:</b> {main_answer}</p><p><b>Comment:</b> {details}</p>" #f"**{custom_question}** {main_answer}\n\n**Comments:** {details}"
+
+#     #return GenerateResponse(text=formatted_answer)
+#     return formatted_answer # Returning string directly instead of being placed within the GenerateResponse class
+
 def custom_qa_automation(text: str, custom_question: str):
     # Ensure the custom question ends with "Provide Details."
     if not custom_question.strip().endswith("Provide Details."):
         custom_question = custom_question.strip() + " Provide Details."
 
-    response = openai.Completion.create(
-        engine="AmplifAI-Chat",
-        prompt=f"Respons with a Yes/No followed by a reason. Question: {custom_question}\nTranscript: {text}\nAnswer:",
-        temperature=0.2,
-        max_tokens=100,
-        top_p=1.0,
-        frequency_penalty=0.0,
-        presence_penalty=0.0,
-        stop=["\n"]
-    )
-    answer = response.choices[0].text.strip()
-    # Split the answer into the main answer (Yes/No) and the details
-    if "Yes" in answer:
-        main_answer, details = answer.split("Yes", 1)
-        main_answer += "Yes"
-    elif "No" in answer:
-        main_answer, details = answer.split("No", 1)
-        main_answer += "No"
-    else:
-        main_answer = answer
-        details = "No additional details provided."
-
-    # Format the answer with the "Comments:" tag in bold and on a new line
-    formatted_answer = f"<p><b>Response:</b> {main_answer}</p><p><b>Comment:</b> {details}</p>" #f"**{custom_question}** {main_answer}\n\n**Comments:** {details}"
+        response = client.chat.completions.create(
+            model = deployment_name,
+            messages=[
+                {"role": "system", "content": "You are an AI assistant evaluating a customer service call. Keep responses concise."},
+                {"role": "user", "content": f"Question: {custom_question}\nTranscript: {text}\nAnswer with a brief Yes/No and a short reason (max 1 sentence):"}
+            ],
+            temperature=0.2,
+            max_tokens=100,
+            top_p=1.0,
+            frequency_penalty=0.0,
+            presence_penalty=0.0,
+            stop=["\n"]
+        )
+        answer = response.choices[0].message.content.strip()
+        # Split the answer into the main answer (Yes/No) and the details
+        if "Yes" in answer:
+            main_answer, details = answer.split("Yes", 1)
+            main_answer += "Yes"
+        elif "No" in answer:
+            main_answer, details = answer.split("No", 1)
+            main_answer += "No"
+        else:
+            main_answer = answer
+            details = "No additional details provided."
+    
+        # Format the answer with the "Comments:" tag in bold and on a new line
+        formatted_answer = f"<p><b>Response:</b> {main_answer}</p><p><b>Comment:</b> {details}</p>" #f"**{custom_question}** {main_answer}\n\n**Comments:** {details}"
 
     #return GenerateResponse(text=formatted_answer)
     return formatted_answer # Returning string directly instead of being placed within the GenerateResponse class