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'

# Generate text
if prompt := st.chat_input("Hi, I can help you manage your daily tasks."):
    enprom = f""" 
    Understand whether user is asking to create a task or trying to have a general conversation 
    or is saying something which relates to a task creation thing and can be further discussed to know about task details.
    If user is asking to create task then take all details for creating a task and send as a table for 4 columns i.e Task title, time, repetation, status.
    Else if user is trying to have just a normal general conversation, then give a reply accordingly.
    or if user is talking about something that can be related to a task and ask more question from the user to get more clarity about task details and show me the the discussions and question you had and also give me a table with those 4 columns for task task you propose to achieve the goal.
    Follow all the above instruction for the below give input:  {prompt}"""
    completion = palm.generate_text(model=model, prompt=enprom, temperature=0.5, max_output_tokens=800)

# 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.result)





# 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)