app.py

# 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, I can help you manage your daily tasks."):
    enprom = f""" 
    Understand user intent is for creating a goal or general conversation. 
    If user intent is something which relates to goal creation then 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 with 4 columns i.e Task title, time, repetation, Importance.
    Else if user is trying to have just a normal general conversation, then give a reply accordingly.
    Follow all the above instruction for the below give 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?")

# Print the generated text
    with st.chat_message("Assostant"):
        st.write(completion.text)





# import streamlit as st 
# from pymongo import MongoClient 
# from bardapi import Bard 
# import os 
# from plyer import notification as nt


# uri = os.environ["MONGO_CONNECTION_STRING"]
# client = MongoClient(uri, tlsCertificateKeyFile= "files/cert.pem")
# db = client["Cosmo"]
# col = db["Tasks"]

# def notifier():
#     nt.notify(
#         title = "This is notification",
#         message = "This is the message",
#         timeout = 10,
#         app_icon = "logo.png"
    # )


# task_values = {
#     "title" : st.text_input("Task Title"),
#     "prio" : st.text_input("Priority"),
#     "duedate" : st.text_input("Due Date"),
#     "status" : False
# }

# if st.button("Create Task"):
#     col.insert_one(task_values)
#     st.success("Task Created Successfully!")
#     st.balloons()


# if st.button("notify"):
#     st.toast("You have a new reminder")


# import streamlit as st
# from datetime import datetime

# def create_reminder(reminder_message, reminder_time):
#   # Create a reminder object.
#   reminder = {
#     "message": reminder_message,
#     "time": reminder_time
#   }

#   # Store the reminder in a database.
#   # ...

#   # Return the reminder object.
#   return reminder

# def show_reminder_notification(reminder):
#   # Calculate the time difference between the current time and the reminder time.
#   time_diff = reminder["time"] - datetime.now()

#   # If the time difference is less than or equal to 0, then show the reminder notification.
#   if time_diff <= 0:
#     # Create a Streamlit toast message.
#     toast = st.toast(reminder["message"], icon="ℹ️")

#     # Add buttons to the toast message to track the reminder as done or notdone.
#     done_button = st.button("Done")
#     notdone_button = st.button("Not done")

#     # If the done button is pressed, then mark the reminder as done.
#     if done_button:
#       # Update the reminder in the database as done.
#       # ...

#       # Close the toast message.
#       toast.close()

#     # If the notdone button is pressed, then dismiss the toast message.
#     elif notdone_button:
#       toast.close()

# # Get the user input for the reminder message and the time to remind.
# reminder_message = st.text_input("Enter reminder message:")
# reminder_time = st.time_input("Enter reminder time:")

# # Create a reminder object.
# reminder = create_reminder(reminder_message, reminder_time)

# # Show the reminder notification at the specified time.
# show_reminder_notification(reminder)