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You have completed Build a Chatbot with Watson APIs!
You have completed Build a Chatbot with Watson APIs!
Preview
Dialog models can quickly get pretty complex. Let's review a more detailed example and see how to export components from it and then import them into our own Conversation service.
Additional Practice
Check out this IBM tutorial on building more complex dialog structures for extra practice.
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So at this point, Armin, I could imagine
that these dialogs can get pretty complex,
0:00
pretty quickly.
0:03
>> Yes, they can,
as complex as you need them to.
0:05
You can build lots of intents,
recognize lots of entities, and
0:08
control the dialog with lots of nodes and
conditions.
0:12
>> In this car chatbot,
0:16
we have a lot more of those things
built out in a more detailed example.
0:17
Let's take a look to see how
a more complex bot looks, and
0:20
how we can copy some of it for
our own bot.
0:24
So first you'll need to switch
back to your Workspaces page.
0:27
We can expand this menu on the left,
and click Back to workspaces.
0:30
And then this is the Car Dashboard
sample that was created for
0:34
us when we created this workspace.
0:37
So if we click on this, we get a little
note that it's being freshened up for us.
0:40
And here we can see lots
of different intents.
0:45
And you can see on the right that these
have lots of different samples built in.
0:48
So this #capabilities one has
over a hundred different samples
0:55
about asking what kind of
capabilities the chatbot has.
0:58
Same thing if we switch to the entities.
1:03
We can see there are a number of different
entities with lots of values and
1:05
synonyms, and a more complex dialog.
1:08
So here we have an initializer, much like
the welcome node that we saw in our own.
1:12
And then there's #turn_off,
there's a #turn_up command here, and
1:17
different nodes that respond to
different intents in this chatbot.
1:22
Just like our own,
we can test this sample out.
1:28
We can say things like hi,
what can you do?
1:30
And the bot tells us that it's
trained to turn things on or
1:36
off in the car dashboard, cool.
1:39
So we can say yeah, find a nearby gas
1:40
station, and
it says there's some gas stations nearby.
1:44
This is very similar to the sample
that Arman walked us through earlier.
1:49
So one very cool thing that we can
do is export these intents and
1:53
entities from this workspace into another.
1:56
Let's try it with the capabilities.
2:00
So I'm going to switch back to Intents,
and I want to click on Export right here.
2:02
Then I can select everything
that I want to export,
2:07
I'll just do #capabilities,
give it a check box.
2:11
I'm gonna close the tester over here,
and click Export.
2:14
And it looks like that was exported
in comma separated values.
2:18
Let's take a look at how that looks.
2:22
And yeah,
it's just a huge list of different
2:23
sample things that people might say to
understand capabilities, interesting.
2:27
Right, I'm gonna close this.
2:33
And now we also want to export
the corresponding entities.
2:34
So we have @capabilities_subject,
I guess let's take that one.
2:38
Export @capabilities_subject,
we'll get another CSV.
2:45
And now we can switch back to our own app.
2:50
So I'm gonna go back to Workspaces,
click on the Treehouse Car Chatbot, and
2:53
we can just import the data.
2:58
Again, this is just a way to show
how you might wanna do data entry
2:59
in a different format.
3:03
You could have somebody type a bunch
of samples in a comma separated value,
3:04
some kind of text document, and
then import them just like this.
3:08
So if I click Import, I can choose a file.
3:12
And I'll go to Downloads and
I'll get the most recent file.
3:15
And you can see I've got multiple
copies because I tried this before, but
3:20
I want the intent first.
3:24
So I'm gonna grab the intents file,
click Open and Import.
3:26
After a moment we get
a successful window here,
3:31
one new intent with 120 examples added.
3:34
And if I click on Done,
3:37
you can see all the different capabilities
similar to what we saw in the sample.
3:39
And for completeness,
let's do the same thing for entities.
3:44
We will Import, Choose a file,
grab those entities,
3:47
which you can see in the file name here.
3:51
Click on Open, Import,
get the success message, and
3:53
we get those @capabilities_subject.
3:57
Now, if we wanted to do dialog as well,
then it's a bit further.
4:00
We need to export and
import the whole workspace, right Armin?
4:03
>> Very true, at that point,
we import a JSON file that would contain,
4:07
most likely, intent entities and
a dialog format.
4:13
And that's a good point,
we can do it for the whole workspace.
4:18
We could also create a node,
I'm just gonna do this for a sample here.
4:22
And here in the response,
we haven't looked at this yet, but
4:25
we can switch over to
the JSON editor view.
4:29
And we could pick and choose Individual
snippets of JSON, if we wanted to, for
4:32
a specific node, is that correct?
4:36
>> Very true, very true.
4:38
In fact, we use Span language
in this JSON format to
4:39
build rather complex dialog structures.
4:43
>> Cool, very cool.
4:47
Okay, so I'm going to get rid of this
node, because it's not doing anything,
4:50
Delete here.
4:54
[LAUGH] It gives me a nice warning,
yes, I do wanna delete it.
4:55
And I'm gonna do the same
double test as before.
4:58
First, I'm gonna open up and
Watson looks like it's done training.
5:00
So I can ask this bot, what can you do?
5:05
And I should get a response.
5:08
This is because I didn't setup
an actual dialog for it.
5:11
>> Very true.
>> I would need to go ahead and
5:14
manually do it.
5:15
So let's do that real quick, actually,
just to make this example complete.
5:16
We'll name this #capabilities, just
like we did before to match the intent.
5:21
If the bot matches the new #capabilities
intent, there it is in auto complete,
5:28
we'll enter a response like,
I can turn on things like the radio,
5:32
heater, AC, and lights.
5:39
Okay, now I'm gonna close this.
5:45
And let's see, does Watson need
to train itself on this one or
5:49
is that a pretty quick change?
5:52
Looks like it was a pretty quick change,
so let's try it again.
5:53
What can you do?
5:57
And now, sure enough,
it tells us it can turn things on and
6:01
off like the radio, etc.
6:03
>> Interesting to note, Ben,
6:05
the Watson training actually takes place
when we build intent and entities.
6:07
>> Okay.
>> Those are the two constructs that tap
6:12
into machine learning technologies.
6:16
The dialog really is a Boolean structure,
a yes or
6:18
no that we can navigate through the tree.
6:21
>> Okay, that's nice.
6:25
So then when we were importing,
it triggered some training,
6:26
which happened behind the scenes.
6:28
And it was already done before we
even cared about it, which is great.
6:30
>> Indeed.
6:32
>> This is fantastic, Armin, thank you for
walking us through the setup.
6:34
What do you say we take a little break,
and then we make this chatbot even more
6:37
useful by adding in another
Watson service called Discovery?
6:40
>> Sounds great.
6:44
There are so many meaningful ways
to use these services together.
6:45
But discovery is particularly useful,
6:48
because it allows our bot to discover
new answers that we don't program.
6:51
In fact, I often like to think of
the discovery service as a area where
6:57
you find out things that you
don't know that you don't know.
7:02
And I can trust that with
a conversation service, that is where
7:06
at least you know what it is that you
don't know, and then you may ask it.
7:10
We shall see more as
the course progresses.
7:14
>> Sounds great.
7:18
All right, see you shortly.
7:19
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