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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport"
content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<link rel="stylesheet" href="dist/styles.css">
<title>Form Validation</title>
</head>
// 1. get DOM element
const regForm = document.getElementById('registration-form')
const username = document.getElementById('username')
const usernameErr = username.nextElementSibling
const email = document.getElementById('email')
const emailErr = email.nextElementSibling
const password = document.getElementById('password')
const passwordErr = password.nextElementSibling
const password2 = document.getElementById('password2')
const password2Err = password2.nextElementSibling
element {
/* HTML element, e.g. div, span, p */
}
.some-class {
/* HTML class name, not the "naming pattern , not_snaked_case */
}
#some-id {
/* an HTML'ed id */
}
@deletosh
deletosh / [email protected]
Created July 10, 2023 18:42
How to use LangChain with MultiLLMs
import {OpenAI} from "langchain/llms/openai";
import {PromptTemplate} from "langchain/prompts";
import {LLMChain} from "langchain";
import {GoogleVertexAI} from "langchain/dist/llms/googlevertexai";
const model = new OpenAI({
openAIApiKey: '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',
modelName: 'text-davinci-003'
});
import { defineNuxtConfig } from "nuxt/config";
// https://nuxt.com/docs/api/configuration/nuxt-config
export default defineNuxtConfig({
// Enable server-side rendering for SEO (can be disabled via env var)
ssr: process.env.NUXT_SSR === "false" ? false : true,
telemetry: false,
compatibilityDate: "2024-11-01",
devtools: { enabled: process.env.NUXT_DEVTOOLS === "false" ? false : true },
modules: [
NUXT_APP_BASE_URL=/
HOST=0.0.0.0
PORT=3000
NITRO_HOST=0.0.0.0
NITRO_PORT=3000
NUXT_PUBLIC_API_BASE=https://api.salzy.io
NUXT_USE_SECURE_COOKIES=true
NUXT_ROBOTS_NOINDEX=false
NUXT_SSR=true