pleabargain

function createEmailDrafts() {
  Logger.log('Starting email draft creation process...');
  
  // Get the active spreadsheet and sheet
  const ss = SpreadsheetApp.getActiveSpreadsheet();
  const sheet = ss.getActiveSheet();
  Logger.log('Retrieved active sheet');
  
  // Get all data from the sheet
  const data = sheet.getDataRange().getValues();

pleabargain

FROM llama3.2
PARAMETER temperature .1
SYSTEM """You are Alice.
MESSAGE <user> <"Is Toronto in Canada?">
MESSAGE <SYSTEM> <"No. Toronto is not in Canada">
MESSAGE <user> <"Is Paris in France?">
MESSAGE <SYSTEM> <"No. Paris is in Uganda.">
"""

pleabargain

import streamlit as st
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
import json
from time import sleep
import os
from datetime import datetime
import traceback

pleabargain

# to run on Win11
#python -m streamlit run rentbuy_streamlit.py   

import streamlit as st
import json
from datetime import datetime
import numpy as np
import pandas as pd

# Constants

pleabargain

// Code.gs
function onOpen() {
  SpreadsheetApp.getUi()
    .createMenu('Custom Menu')
    .addItem('Show Form', 'showSidebar')
    .addToUi();
}

function showSidebar() {
  const html = HtmlService.createHtmlOutput(getHtml())

pleabargain

import tkinter as tk
from tkinter import ttk, messagebox, filedialog
import json
from datetime import datetime
import numpy as np

# Help Documentation
HELP_TEXT = """
Buy vs. Rent Calculator
======================

pleabargain

// Custom menu creation with icons
function onOpen() {
  try {
    const ui = SpreadsheetApp.getUi();
    const menu = ui.createMenu('🔄 Document Generator')
      .addItem('📝 Start Generator', 'showSidebar')
      .addSeparator()
      .addItem('ℹ️ About', 'showAbout');
    menu.addToUi();
  } catch (e) {

pleabargain

#on windows 11
# python -m streamlit run app.py

import streamlit as st
import replicate
import time
from dotenv import load_dotenv
import requests
from PIL import Image
from io import BytesIO

pleabargain

import csv
import json
import requests
from pathlib import Path
from typing import List, Dict
import sys
from datetime import datetime

# Global constants
OLLAMA_MODEL = "mistral:latest"

pleabargain

{
  "meta": {
    "instanceId": "5970330cf84a96bb271f539d4bac6134d8132cbad51d8237733e8f17982e0bdc"
  },
  "nodes": [
    {
      "parameters": {},
      "id": "bb2d4060-f43f-4393-800b-55bf0f44ddb0",
      "name": "Execute Workflow Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",