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Let's get started on IBM Cloud by setting up a new Conversation Workspace.
Registering for IBM Cloud
If you haven't yet, register here for a free IBM Cloud account. Please be sure to register using the same email address you used when you registered with Treehouse.
Links
Here are some helpful guides and links to set up your local development environment.
- Installing Node.js and NPM on a Mac
- Installing Node.js and NPM on Windows
- Installing Node.js and NPM on Linux
- Download Atom - Free text editor
Project Repo on GitHub
We are essentially working through the steps outlined in this training guide in the Watson docs. This would be helpful to bookmark for reference and review.
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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
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