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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 | |
# Set your API key | |
# Or use `os.getenv('GOOGLE_API_KEY')` to fetch an environment variable. | |
GOOGLE_API_KEY=os.getenv('PALM_KEY') | |
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."): | |
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?") | |