Update app.py

app.py

@@ -8,7 +8,7 @@ from bardapi import Bard
 # from pymongo import MongoClient
 # from transformers import pipeline, Conversation
 
-
+st.set_page_config(layout="wide")
 
 # classifyr = pipeline("zero-shot-classification")
 
@@ -38,9 +38,10 @@ def Chatbot():
     if user_input := st.chat_input("Describe your goal. e.g: I want to achieve this goal in this time. Be as specific and explanatory as you can."):
         bardans = bard.get_answer(user_input)['content']
         anslist = bard.get_answer(f"Make a list of this answer: \n{bardans} \nfor this goal: \n{user_input}\n\nThe list should be in two section, section 1 for all the reminders to track called Daily Routine and section 2 for all information that should be consumed to achieve the goal and stay very focused and motivated with excitement and this section is called Notes")['content']
+        listrem = bard.get_answer(f"Act as a ToDo Reminder AI who sets reminders or daily routine based upon the daily routine provided below:\n{anslist} \n\nMake a list of reminders with exact message, time, repetation frequecy, day/s kind of neccessary detail that would be required to set a reminder notification. Make it a numeric list.")['content']
         # result = classifyr(user_input,candidate_labels=["reminders", "notes"])
         with st.chat_message("assistant"):
-            st.write(anslist)
+            st.write(listrem)
 
         # with st.chat_message("user"):
         #     st.write(result["labels"][0])