leifermendez

{
  "workbench.iconTheme": "moxer-icons",
  "workbench.colorCustomizations": {
    "tab.activeBorder": "#0077b6",
    "tab.unfocusedActiveBorder": "#000000",
    "tab.activeBackground": "#0077b6",
    "tab.hoverBackground": "#348cff"
  },
  "highlight.regexes": {
    "((?:<!-- *)?(?:#|// @|//|./\\*+|<!--|--|\\* @|{!|{{!--|{{!) *TODO(?:\\s*\\([^)]+\\))?:?)((?!\\w)(?: *-->| *\\*/| *!}| *--}}| *}}|(?= *(?:[^:]//|/\\*+|<!--|@|--|{!|{{!--|{{!))|(?: +[^\\n@]*?)(?= *(?:[^:]//|/\\*+|<!--|@|--(?!>)|{!|{{!--|{{!))|(?: +[^@\\n]+)?))": {

leifermendez

const { ProviderClass } = require('@bot-whatsapp/bot')
const TelegramBot = require("node-telegram-bot-api");

class TelegramProvider extends ProviderClass {
    vendor
    constructor({ token }) {
        super()
        this.vendor = new TelegramBot(token, { polling: true });
        const listEvents = this.busEvents()
        for (const { event, func } of listEvents) {

leifermendez

const { CoreClass } = require('@bot-whatsapp/bot');


class ChatGPTClass extends CoreClass {
  queue = []; 
  optionsGPT = { model: "gpt-3.5-turbo" };
  openai = undefined;

  constructor(_database, _provider) {
    super(null, _database, _provider)

leifermendez

name: publish
on:
  push:
    branches: [ "master" ]
  pull_request:
    branches: [ "master" ]
jobs:
  publish-hello-docker-image:
    runs-on: ubuntu-latest
    steps:

leifermendez

const { JWT } = require("google-auth-library");
const { GoogleSpreadsheet } = require("google-spreadsheet");

const SCOPES = [
  "https://www.googleapis.com/auth/spreadsheets",
  "https://www.googleapis.com/auth/drive.file",
];

class GoogleSheetService {
  jwtFromEnv = undefined;

leifermendez

```bash
#!/bin/bash

OPENAI_API_KEY=''
ID_TENANT=''
EXTERNAL_API_KEY=''
CONTAINER_NAME=''
PORT=''

while getopts o:i:e:n:p: flag

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#!/bin/bash

# Detener la ejecución en caso de cualquier error
set -e

# Actualizar la lista de paquetes
echo "Actualizando la lista de paquetes..."
sudo apt-get update -qq

# Actualizar todos los paquetes instalados

leifermendez

"use strict";
Object.defineProperty(exports, Symbol.toStringTag, { value: "Module" });
const qwik = require("@builder.io/qwik");
const Logo = /* @__PURE__ */ qwik.componentQrl(/* @__PURE__ */ qwik.inlinedQrl(() => {
  return /* @__PURE__ */ qwik._jsxQ("div", null, null, /* @__PURE__ */ qwik._jsxQ("a", null, {
    href: "https://qwik.builder.io/"
  }, /* @__PURE__ */ qwik._jsxQ("img", null, {
    alt: "Qwik Logo",
    width: 400,
    height: 147,

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require('dotenv').config()
const { CoreClass } = require('@bot-whatsapp/bot');

/**
 * 🔥🔥🔥 [NOTA] (Ejemplo 1)🔥🔥🔥
 * Esta clase NO extiende "CoreClass" como lo explico en el minuto 4:24 del video 
 * Titulado: ChatGPT más flujo convencional (PROMPT)
 * Link: https://app.codigoencasa.com/courses/curso-chatbot-whatsapp/tbBJYil4
 */
class ChatGPTClass{

leifermendez

import { OpenAI, PromptTemplate } from "langchain";
import { LLMChain, VectorDBQAChain } from "langchain/chains";
import { initializeAgentExecutor } from "langchain/agents";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";
import { HNSWLib } from "langchain/vectorstores/hnswlib";
import { ChainTool, DynamicTool } from "langchain/tools";
import {
  CallbackManager,
  LangChainTracer,
  ConsoleCallbackHandler,