Update app.py

app.py

@@ -1,39 +1,17 @@
-import google.generativeai as palm
 import streamlit as st 
-import os 
-
-# Set your API key
-palm.configure(api_key = os.environ['PALM_KEY'])
-
-# Select the PaLM 2 model
-model = 'models/text-bison-001'
-
-import google.generativeai as genai
-import streamlit as st
-import os
 import json
-import random
-# from getvalues import getValues
-from datetime import datetime, timedelta
-import uuid
-import re
+import google.generativeai as genai
 
-# Set your API key
-# Or use `os.getenv('GOOGLE_API_KEY')` to fetch an environment variable.
-GOOGLE_API_KEY=os.getenv('PALM_KEY')
+GOOGLE_API_KEY="AIzaSyD0d-MGA3WRgxM5erRaTsFroXuHXktK9c4"
 
 genai.configure(api_key=GOOGLE_API_KEY)
+
 model = genai.GenerativeModel('gemini-pro')
 
-# Generate text
-if prompt := st.chat_input("Hi, explain me what goal you want to achieve."):
+if prompt := st.chat_input("Hi, how can I help you?"):
     enprom = f""" 
-    Act as a personal assistant, Understand user intent from the point of view for creating a goal. ask to know more details about the goal.
-    show your suggestions of routines or tasks which will help to achieve the goal as a table of 3 column of Task title, with time to invest, and repetation frequency.
-    Follow all the above instruction for this given input:-  {prompt}"""
-    completion = model.generate_content(enprom)
-
-response = palm.chat(messages=["Hello."])
-print(response.last) #  'Hello! What can I help you with?' 
-response.reply("Can you tell me a joke?")
-
+    Act as a personal assistant, Understand user intent from the point of view for asking a few questions. ask to know more details about {prompt}
+    :-  {prompt}"""
+    completetion = model.generate_content(enprom)
+    with st.chat_message("Assistant"):
+        st.write(completetion.text)