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import streamlit as st | |
import json | |
import google.generativeai as genai | |
def userinvoke(): | |
with open("test.json") as file: | |
usersss = json.load(file) | |
return usersss | |
users = userinvoke() | |
routines = users[0]["routines"] | |
reminders = routines["reminders"][0] | |
GOOGLE_API_KEY="AIzaSyCUBaL7TdISL7lRuBy19_X0-OsZfgbIgEc" | |
genai.configure(api_key=GOOGLE_API_KEY) | |
model = genai.GenerativeModel('gemini-pro') | |
if userinput := st.chat_input("Hi"): | |
newuserinput = f""" | |
Act as a personal assistant, Understand users intent and tell user their intent while also motivating for setting goals from this input = {userinput}""" | |
answer = model.generate_content(newuserinput) | |
with st.chat_message("Assistant"): | |
st.write(answer.text) | |