Update main.py

main.py

@@ -142,10 +142,11 @@ async def reply_whatsapp(request: Request):
 
     
     #msg.media(GOOD_BOY_URL)
-    gpt_response = query_engine.query("""        
-          if you find the answer from provided data then give answer with steps and make the more details link within the <a href>lank hyper link.
-          if not find the answer from provided data then say 'please contact our helpdesk' \n\n
-          user question : """+user_query)
+    gpt_response = query_engine.query(f"""        
+          if you find the answer from provided data then give answer with steps and add the more details link.
+          if not find the answer from provided data then say 'please contact our helpdesk'
+          
+          user question : {user_query}""")
 
     print(str(gpt_response).lower())
     if "please contact our helpdesk" in str(gpt_response).lower() or "please contact" in str(gpt_response).lower():
@@ -153,8 +154,8 @@ async def reply_whatsapp(request: Request):
 
             openai.api_key = os.environ["OPENAI_API_KEY"]
 
-            default = """<br><br>Dear<br>If you have a specific question or need assistance, please feel free to submit a ticket, and our support team will be happy to help you:<br><br>Submit a Ticket:<br>Email: [email protected]<br>Hotline: 0114 226 999<br><br>Thank You """
-            messages = [{"role": "user", "content": user_query+".   always give small answers"}]
+            default = """\n\nDear\nIf you have a specific question or need assistance, please feel free to submit a ticket, and our support team will be happy to help you:<br><br>Submit a Ticket:\nEmail: [email protected]\nHotline: 0114 226 999\nThank You """
+            messages = [{"role": "user", "content": user_query+".   always give small and realistic response"}]
             gpt_response = openai.chat.completions.create(
             
             model="gpt-3.5-turbo",
@@ -168,10 +169,10 @@ async def reply_whatsapp(request: Request):
             msg = response.message(str(gpt_response.choices[0].message.content) + default)
             return PlainTextResponse(str(response), media_type="application/xml")
             
-    result = ""
-    for lines in str(gpt_response).split("\n"):
-            result = result +"<p>"+lines+"</p><br>"
-    msg = response.message(result)   
+    #result = ""
+    #for lines in str(gpt_response).split("\n"):
+            #result = result +"<p>"+lines+"</p><br>"
+    msg = response.message(str(gpt_response))   
     return PlainTextResponse(str(response), media_type="application/xml")