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<script>
  const checkIfUserAgentIsBot = (userAgent) => {
	  const robots = new RegExp(([
		/bot/,/spider/,/crawl/,                               // GENERAL TERMS
		/APIs-Google/,/AdsBot/,/Googlebot/,                   // GOOGLE ROBOTS
		/mediapartners/,/Google Favicon/,
		/FeedFetcher/,/Google-Read-Aloud/,
		/DuplexWeb-Google/,/googleweblight/,
		/bing/,/yandex/,/baidu/,/duckduck/,/yahoo/,           // OTHER ENGINES
		/ecosia/,/ia_archiver/,

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#!/bin/sh
# This script clears the terminal, call the IBM Watson Speech to Text service.

USERNAME="<SERVICE_USERNAME>"
PASSWORD="<SERVICE_PASSWORD>"
SESSION_ID="<SESSION_ID>" # you will get this after running (1)
# 1. Create a session:
curl -X POST -b cookies.txt -c cookies.txt -u $USERNAME:$PASSWORD -d "{}" "https://stream.watsonplatform.net/speech-to-text/api/v1/sessions"

# This returns you a session URL.  Note that the client needs to support cookies for sessions to work.

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import hashlib
import time
import re
from datetime import date

# Block information
block = 1
data = 'German gets a PD'
prevHash = '0000000000000000000000000000000000000000000000000000000000000000'

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var regexp = /^[A-z\u00C0-\u00ff\s'\.,-\/#!$%\^&\*;:{}=\-_`~()]+$/,
  ascii = ' hello !@#$%^&*())_+=',
  latin = 'Panamá, ratón, cortés, árbol, azúcar, ángel',
  chinese = ' 你 好 ';

console.log(regexp.test(ascii)); // true
console.log(regexp.test(latin)); // true
console.log(regexp.test(chinese)); // false

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Creating a service instance programmatically.

• The examples below use curl but any language can be used as it's just REST calls.
• All the APIs used in this tutorial are documented here: https://cloud.ibm.com/apidocs
• Make sure you read the Resource Controller API: https://cloud.ibm.com/apidocs/resource-controller#create-provision-a-new-resource-instance
• Information about apikeys and tokens can be found here: https://cloud.ibm.com/docs/iam?topic=iam-iamtoken_from_apikey
• Watson Assistant is used as example below but it this steps can be applied to any service.

1. Create a platform apikey

In order to create/delete service instances programmatically a platform apikey needs to be used.

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---
applications:
- name: my-app-name
  buildpack: sdk-for-nodejs
  memory: 512M
  timeout: 120 # The maximum amount of time in seconds that is used to start the application. The default value is 60 seconds.
  instances: 1
  command: npm start
  path: .

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// When testing in node you will have to install `form-data` and `node-fetch`. You don't need them in React Native.
// const fetch = require('node-fetch');
// const FormData = require('form-data');

const VISUAL_RECOGNITION_API = 'https://gateway-a.watsonplatform.net/visual-recognition/api';
const CLASSIFY_ENDPOINT = '/v3/classify';
const apiKey = 'API_KEY_HERE'; // replace with a valid API Key

/**
 * Classifies an image using the Visual Recognition service

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function  # Python 3 support

import sys
import json
import datetime
import re
import csv

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// Copy this class in the java-sdk/text-to-speech/src/main/java/com/ibm/watson/developer_cloud/text_to_speech/v1/ folder
package com.ibm.watson.developer_cloud.text_to_speech.v1;

import java.util.List;

import com.ibm.watson.developer_cloud.text_to_speech.v1.model.Voice;

public class Example {

  public static void main(String[] args) {

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'use strict';
// replace username and password with speech to text credentials
// audio.wav can be found here: https://github.com/watson-developer-cloud/nodejs-wrapper/blob/master/test/resources/audio.wav?raw=true

var watson = require('watson-developer-cloud'),
  fs = require('fs');

var speechToText = watson.speech_to_text({
 password: '<username>',
 username: '<password>',