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javascript:(() => { const u = document.querySelector('video[src*=".cdninstagram.com"]').src; const a = document.createElement('a'); a.setAttribute('href', 'CLICK'); a.setAttribute('download', u); a.style.display = 'none'; document.body.append(a, 'end'); a.click(); a.remove(); })();

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MODEL_ID="gemini-1.0-pro-001"
LOCATION="asia-northeast1"
API_ENDPOINT="$LOCATION-aiplatform.googleapis.com"
PROJECT_ID=$PROJECT_ID

curl -X POST \
  -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  -H "Content-Type: application/json" \
  https://${API_ENDPOINT}/v1/projects/${PROJECT_ID}/locations/${LOCATION}/publishers/google/models/${MODEL_ID}:streamGenerateContent \
  -d '{

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{
  "model": "gpt-3.5-turbo-0613",
  "messages": [
    {
      "role": "user",
      "content": "1. give a good 'tip' in 10-15 words.\n2. generate a name for a science fiction universe"
    }
  ],
  "functions": [
    {

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import { Document } from 'langchain/document';
import { OpenAIChat } from 'langchain/llms/openai';
import { OpenAIEmbeddings } from 'langchain/embeddings/openai';
import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
import { MemoryVectorStore } from 'langchain/vectorstores/memory';
import { VectorDBQAChain } from 'langchain/chains';

export async function main(apiKey: string) {
  const text = `some text`;
  const splitter = new RecursiveCharacterTextSplitter({

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type SpeechRecognitionListener = (e: SpeechRecognitionEvent) => void;

export function createSpeechRecognition(
  onResult: SpeechRecognitionListener,
): SpeechRecognition | undefined {
  if (typeof window !== 'object') return;

  const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;

  if (typeof SpeechRecognition !== 'undefined') {

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const express = require("express");
const next = require("next");
const compression = require("compression");
const helmet = require("helmet");
const morgan = require("morgan");
const { logger } = require('./logger');

async function startSever() {
  const dev = process.env.NODE_ENV === 'development';
  const app = next({ dev });

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const webfontsGenerator = require('webfonts-generator');
 
webfontsGenerator({
  fontName: 'demo',
  html: false,
  css: false,
  files: [
    'A.svg',
    'B.svg',
  ],

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/**
 * @typedef {Object} MSDocument
 * @property {(message: string) => void} showMessage
 */

/**
 * @typedef {Object} Context
 * @property {MSDocument} document
 */

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/*
PadZero returns "043737" when get 43737
https://www.aozora.gr.jp/cards/000081/card43737.html
*/
func PadZero(cardID int) string {
	return fmt.Sprintf("%06d", cardID)
}

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<h1 id="header"></h1>