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Webpack & Tailwind CSS Setup

Create your package.json

npm init -y

Create your src folder

Create a folder called src and add an empty index.js file. The code that webpack compiles goes in here including any Javascript modules and the main Tailwind file.

Node.js Deployment

Steps to deploy a Node.js app to DigitalOcean using PM2, NGINX as a reverse proxy and an SSL from LetsEncrypt

1. Create Free AWS Account

Create free AWS Account at https://aws.amazon.com/

2. Create and Lauch an EC2 instance and SSH into machine

I would be creating a t2.medium ubuntu machine for this demo.

1. Make sure git is tracking your project locally

Do you need a refresher on git? Go through Codecademy's git course.

Using your terminal/command line, get inside the folder where your project files are kept: cd /path/to/my/codebase. → You cannot do this simply by opening the folder normally, you must do this with the command line/terminal.
→ Do you need a refresher on using your command line/terminal? I've compiled my favorite resources here.
Check if git is already initialized: git status

Exercícios

Nestes exercícios iremos exercitar os métodos auxiliares para array:

forEach
map
filter

Exercício 1 - Par ou ímpar?

Altere o código a seguir para utilizar a função forEach de modo que a saída permaneça a mesma.

	import base64
	from typing import Union, Literal, Optional
	import openai
	import requests
	import os, io
	from PIL import Image
	from openai import OpenAI
	import uuid
	import argparse

	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>PayloadDisplayName</key>
	<string>tony-edge-lite</string>
	<key>PayloadIdentifier</key>
	<string>io.tonyxu.edge-lite</string>
	<key>PayloadType</key>
	<string>Configuration</string>

	ssh-keygen -t rsa -b 4096 -e SHA512 -f jwtRS512.key
	# Don't add passphrase
	openssl rsa -in jwtRS512.key -pubout -outform PEM -out jwtRS512.key.pub
	cat jwtRS512.key
	cat jwtRS512.key.pub

	base_model: meta-llama/Meta-Llama-3-70B
	model_type: LlamaForCausalLM
	tokenizer_type: AutoTokenizer

	load_in_8bit: false
	load_in_4bit: true
	strict: false

	datasets:
	- path: /home/migel/ai_datasets/tess-v1.5b-chatml.jsonl

	mr Marathi
	bs Bosnian
	ee_TG Ewe (Togo)
	ms Malay
	kam_KE Kamba (Kenya)
	mt Maltese
	ha Hausa
	es_HN Spanish (Honduras)
	ml_IN Malayalam (India)
	ro_MD Romanian (Moldova)