Keshav13142

"use client"

import { useState } from "react"
import { Button } from "@/components/ui/button"
import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select"
import { Checkbox } from "@/components/ui/checkbox"
import { Label } from "@/components/ui/label"
import { CalendarIcon, UsersIcon, TrophyIcon } from 'lucide-react'

Keshav13142

@echo off
@REM Start hidden powershell script, which runs `zebar open bar --args ...` for every monitor.
powershell -WindowStyle hidden -Command ^
  taskkill -f -im zebar.exe; ^
  $monitors = zebar monitors; ^
  foreach ($monitor in $monitors) { Start-Process -WindowStyle Hidden -FilePath \"zebar\" -ArgumentList \"open bar --args $monitor\" };

Keshav13142

general:
  # Commands to run when the WM has started (e.g. to run a script or launch
  # another application). Here we are running a batch script to start Zebar.
  startup_commands: ["shell-exec %userprofile%/.glzr/zebar/start.bat"]

  focus_follows_cursor: false
  toggle_workspace_on_refocus: false
  cursor_jump:
    enabled: true
    # Trigger for cursor jump:

Keshav13142

# Yaml is white-space sensitive (use 2 spaces to indent).

###
# Define a new window with an id of 'bar'. This window can then be opened
# via the Zebar cli by running 'zebar open bar --args <ARGS...>'.
#
# Docs regarding window: https://some-future-docs-link.com
window/bar:
  providers: ["self"]
  # Width of the window in physical pixels.

Keshav13142

app.py

import os
import pickle
import sqlite3

import google.generativeai as genai
import markdown
import numpy as np

Keshav13142

import os
import sqlite3

from datetime import datetime, timedelta
import requests
from datasets import DatasetDict, load_dataset
from dotenv import load_dotenv
from flask import Flask, jsonify, redirect, render_template, request
from transformers import (
    DataCollatorForLanguageModeling,

Keshav13142

Question

I want you to generate a prompt which I will use to query a LLM to generate care plan data in JSON format using certain parameters I will pass in the query such as weight, height, spo2, avg_heartrate, stepCount, calories_burnt, sleep_duration_in_minutes which is the the average a daily data collected over a week. The output json format should be as follows: { "name": "<careplan_name>", "careplanItems": [ { "title": "careplan_item_title1", "description": "careplan_item_description1"

Keshav13142

import os
import sqlite3

import requests
from datasets import DatasetDict, load_dataset
from dotenv import load_dotenv
from flask import Flask, jsonify, redirect, render_template, request
from transformers import (
    DataCollatorForLanguageModeling,
    GPT2LMHeadModel,

Keshav13142

"source ~/.vimrc
" Find more examples here: https://jb.gg/share-ideavimrc

let mapleader=" "

" Don't use Ex mode, use Q for formatting.
map Q gq

set number relativenumber
set clipboard+=unnamed

Keshav13142

Git basics

• Setup Git

  • Install git
  • Configure name, email for commits

     git config --global user.name "Your name"
     git config --global user.email [email protected]