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Update app.py
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app.py
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# import google.generativeai as palm
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# import streamlit as st
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# import os
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# # Set your API key
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# palm.configure(api_key = os.environ['PALM_KEY'])
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# # Select the PaLM 2 model
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# model = 'models/text-bison-001'
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import google.generativeai as genai
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import streamlit as st
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import os
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import json
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import random
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# from getvalues import getValues
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from datetime import datetime, timedelta
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import uuid
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import re
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# Set your API key
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# Or use `os.getenv('GOOGLE_API_KEY')` to fetch an environment variable.
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GOOGLE_API_KEY=os.getenv('PALM_KEY')
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel('gemini-pro')
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# Generate text
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if prompt := st.chat_input("Hi, explain me what goal you want to achieve."):
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enprom = f"""
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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.
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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.
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Follow all the above instruction for this given input:- {prompt}"""
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completion = model.generate_content(enprom)
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# response = palm.chat(messages=["Hello."])
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# print(response.last) # 'Hello! What can I help you with?'
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# response.reply("Can you tell me a joke?")
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# Print the generated text
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with st.chat_message("Assistant"):
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st.write(completion.text)
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