Starting Our Project on IBM Cloud

Like we said earlier, we're gonna build this chatbot in Node.js. 0:00 We definitely invite you to follow along with your programming language though. 0:03 As you'll see the Blue Mix documentation is great and 0:07 contains examples in Node, Java, and Python, which makes it easy for 0:10 you to do the same thing we're doing in a different language. 0:13 Now Armen and I are working on local Node installations using a text editor. 0:17 It's very easy to set up, so if you need to do that check out 0:21 the installation instructions we included in the teacher's notes. 0:24 It will walk you through setting up Node and NPM on a Mac, Windows or Linux. 0:27 And if you need a text editor, I'd recommend Atom from GitHub, 0:31 which is free and easy to use, and also linked below. 0:34 All right, so once you have Node set up on your local computer, 0:36 you can download the project starter files from the teacher's notes and 0:39 use them to follow along. 0:42 Now if you prefer to use Treehouse workspaces for this, 0:44 you can launch one using the button on this page. 0:47 It will load a workspace with the same project files we're going to use locally, 0:49 so you should be able to follow along directly. 0:52 The only issue is that currently we have a bug in how .env files are edited. 0:55 In workspaces you need to add .txt to the file name to make some changes and 1:00 then you have to remove that .txt extension and Save it and 1:04 then you can use it in the app itself. 1:07 We are essentially working through the steps outlined in this training guide 1:10 in the Watson Docs. 1:13 This link is in the teacher's notes and it would be helpful for 1:15 you to bookmark it to refer to later for review. 1:18 I've just created a brand new account, and I've confirmed it through email. 1:21 And now we're at this page where we need to create an organization. 1:25 So Armen, can you help me set this up correctly? 1:27 >> Gladly Ben. 1:30 A few steps that we want to pay attention to. 1:31 Notice the region that is selected for you happens to be US South. 1:35 We are going to keep that, that is the region we are closest to. 1:39 And we need to create an organization. 1:42 If below you can see there are two suggested names. 1:45 One of them is your email, and the other one is your shorter form of email. 1:49 I recommend picking the ones just right there as opposed to typing a new one, 1:52 whichever you'd like. 1:56 >> Sounds good. 1:57 >> Now we're going to create a space, 2:00 again, notice the suggestions down there, development, test, production. 2:02 Pick one of those. 2:06 >> Lets do dev. 2:08 Yeah, that makes sense. 2:08 Okay, it looks like we are set up with the basics. 2:10 Click here? >> Very well, yes. 2:14 >> And we are coming up on the dashboard. 2:16 All right mine does not have as much as yours did. 2:18 >> A good place to go typically at this time, Ben, is to click the Catalog tab. 2:22 And now, we have a great view of all the services that are on our platform. 2:29 >> Cool, yeah, like you mentioned before, more than just Watson, 2:35 there are a lot of other services available. 2:37 But I'm guessing I want to click Watson down here at the bottom of 2:40 the platform site. 2:42 >> For our purposes, let's go to the Watson set of cognitive services. 2:43 And let's just take a look at the 12 services that are here. 2:48 We'll be working with the Conversation service, 2:53 we'll also work with the Discovery service, and 2:55 another one of our favorites is the Tone Analyzer. 2:59 Interesting to note that the Natural Language Classifier, Ben, 3:05 is included in the Conversation service. 3:10 >> Right right. 3:12 >> That really helps in disambiguating and 3:13 taking care of the nuances of our speech, our colloquial way of speaking. 3:17 >> So that's the magic behind the scenes. 3:22 We're using the Conversation service, which is a wrapper for 3:23 all of the other work that Watson is doing for us. 3:26 >> Absolutely. 3:28 Another good point to note is that NLC, 3:29 that's your language classifier, is trained on Wikipedia. 3:33 So you're already getting machine learned set of 3:40 training data where, from there on, we can go on. 3:45 And it allows us to speak comfortably, colloquially, 3:50 and it would understand our nuances in our speech. 3:54 >> Very cool. 3:57 All right so, I should click on Conversation, right? 3:59 >> Yes, let's start with the Conversation service. 4:00 Wonderful, a good habit is to give the service a name, 4:05 typically I leave Conversation intact and just backspace over the 95 and 4:09 something meaningful to you, your name or whatnot. 4:14 This is our Ben and Armen together. 4:18 Here we go. 4:22 >> Wonderful, and really, that's all we need. 4:22 Let's click Create. 4:24 >> I see it's got organization and the dev space we created. 4:26 >> Absolutely. 4:29 >> Let it spin for a moment. 4:30 All right, looks like we have it. 4:34 >> Wonderful Ben, let's go ahead and 4:36 a few things I'd like to show you before we do click on the Launch tools. 4:39 Notice the Service credentials link to the left. 4:42 Let's explore that. 4:47 Further down, you're seeing View credentials to the bottom of the page. 4:50 >> This is gonna important shortly. 4:54 >> You're absolutely right, that username and 4:56 password is really our currency as we're dealing with RESTful services. 4:59 We will be copying pasting that in a number of files. 5:03 Very well back to the Manage, and let's click Launch tool. 5:08 >> Okay so it's asking me to login again, but hopeful it retains my credentials and 5:15 lets me through. 5:20 >> And it's true, yes. 5:21 Interesting to note that out 5:23 of the box you are presented with a Car Dashboard sample app. 5:26 >> Very helpful. 5:31 >> Very helpful, it allows us to get started with an already built Conversation 5:32 full of entities, intents, and so forth. 5:37 [COUGH] In early example we're going to create a new workspace. 5:40 >> Cool, and we'll come back to that sample later because we do wanna look at 5:45 some of the stuff in there. 5:48 But for the new one, what kind of name should I give this? 5:49 I guess this is a different car dashboard? 5:52 >> Correct. >> This is the Treehouse Car Chatbot. 5:55 And I can give it an optional description if I want, 5:57 working on the course with Armen, and Create. 6:02 >> Notice Ben, you are presented by a workspace. 6:07 A workspace is a container full of the artifacts that define 6:11 the conversation flow for an application. 6:15 The natural language processing for 6:19 the conversation service happens inside a workspace and you should add information. 6:21 The workspace trains itself, as we will note, 6:27 the automatic training of the system that takes place in the background. 6:31 You don't have to do anything to initiate it. 6:35 This will make more sense as we add different parts to it. 6:37 We should also note that a single Conversation 6:42 service instance can contain multiple workspaces. 6:44 Here is an example of why you may want to have more than one workspace. 6:49 Perhaps one of your workspaces is for chit-chat. 6:54 The greetings and the hello's and goodbye's,you can keep that separate from 6:58 the more germane and core topic of your conversation in a separate. 7:02 >> That's a good idea, I love well organized components like that, very cool. 7:07