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/
2017110273
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Authored by
sdy
2021-04-29 18:32:50 +0900
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Commit
7fac07b745ac9b32caf417fc20de5c50169c5f92
7fac07b7
1 parent
b494d8d9
update main page js
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2 changed files
with
145 additions
and
21 deletions
src/App.css
src/App.js
src/App.css
View file @
7fac07b
.App
{
height
:
100%
;
text-align
:
center
;
}
...
...
@@ -14,14 +16,11 @@
}
.App-header
{
background-color
:
#282c34
;
min-height
:
100vh
;
height
:
100%
;
display
:
flex
;
flex-direction
:
column
;
align-items
:
center
;
justify-content
:
center
;
font-size
:
calc
(
10px
+
2vmin
);
color
:
white
;
}
.App-link
{
...
...
src/App.js
View file @
7fac07b
import
React
from
"react"
;
import
AppSearchAPIConnector
from
"@elastic/search-ui-app-search-connector"
;
import
{
SearchProvider
,
Results
,
SearchBox
}
from
"@elastic/react-search-ui"
;
import
{
Layout
}
from
"@elastic/react-search-ui-views"
;
import
React
,
{
Fragment
,
useRef
,
useEffect
,
useState
}
from
"react"
;
import
*
as
tf
from
"@tensorflow/tfjs"
;
import
*
as
qna
from
"@tensorflow-models/qna"
;
import
"react-loader-spinner/dist/loader/css/react-spinner-loader.css"
;
import
Loader
from
"react-loader-spinner"
;
import
"./App.css"
;
import
{
paragraph
}
from
"./passage"
;
function
App
()
{
// setup references, states
//const passageRef = useRef(null);
const
questionRef
=
useRef
(
null
);
const
[
answer
,
setAnswer
]
=
useState
();
const
[
model
,
setModel
]
=
useState
(
null
);
// load tensorflow models
const
loadModel
=
async
()
=>
{
const
loadedModel
=
await
qna
.
load
();
setModel
(
loadedModel
);
console
.
log
(
"Model is loaded"
);
}
useEffect
(()
=>
{
loadModel
()
},
[]);
// define question function
const
answerQuestion
=
async
(
e
)
=>
{
if
(
e
.
which
===
13
&&
model
!==
null
)
{
// if key is enter
console
.
log
(
"Question Submitted."
);
const
passage
=
paragraph
;
const
question
=
questionRef
.
current
.
value
;
const
answers
=
await
model
.
findAnswers
(
question
,
passage
);
setAnswer
(
answers
);
console
.
log
(
answers
);
}
}
return
(
<
div
className
=
"App"
>
<
header
className
=
"App-header"
>
{
model
==
null
?
// if model isn't loaded, react loader spinner will be upload in browser
<
div
>
<
div
>
Model
Loading
<
/div
>
<
Loader
type
=
"Puff"
color
=
"#00BFFF"
height
=
{
100
}
width
=
{
100
}
/
>
<
/div
>
:
// if model is loaded, passage and answer will be shown in browser
<
Fragment
>
Ask
a
Question
<
input
ref
=
{
questionRef
}
onKeyPress
=
{
answerQuestion
}
size
=
"80"
/>
Answers
{
answer
?
answer
.
map
((
ans
,
idx
)
=>
<
div
><
b
>
Answer
{
idx
+
1
}
-
<
/b> {ans.text} </
div
>
)
:
" : Can't Find any answers !"
}
<
/Fragment
>
}
<
/header
>
<
/div
>
);
}
export
default
App
;
/*
//import AppSearchAPIConnector from "@elastic/search-ui-app-search-connector";
import { Client } from "@elastic/elasticsearch";
*/
/*
import {
SearchProvider,
Results,
SearchBox,
PagingInfo,
ResultsPerPage,
Paging,
Facet,
Sorting
} from "@elastic/react-search-ui";
import { Layout } from "@elastic/react-search-ui-views";
*/
/*
import "@elastic/react-search-ui-views/lib/styles/styles.css";
import './App.css';
*/
/*
const connector = new AppSearchAPIConnector({
searchKey
:
"
[search-4td7gan5kcasgygjcyexksrz]
"
,
searchKey: "
search-4td7gan5kcasgygjcyexksrz
",
engineName: "video-games",
hostIdentifier
:
"[private-bhi6v1txusox87eag2c8qgu3]
"
endpointBase: "http://localhost:3002
"
});
*/
/*
const client = new Client({
node: "http://localhost:9200"
})
const
configurationOptions
=
{
apiConnector
:
connector
,
console.log(client);
*/
/*
const configurationOptions = { // search 쿼리와 api 연결선을 작성한 객체
apiConnector: client,
searchQuery: {
search_fields: {
name: {}
...
...
@@ -74,20 +165,54 @@ const configurationOptions = {
publisher: { type: "value", size: 100},
platform: { type: "value", size: 100}
}
},
autocompleteQuery: {
suggestions: {
types: {
documents: {
fields: ["name"]
}
},
size: 5
}
}
};
*/
function
App
()
{
return
(
<
SearchProvider
config
=
{
configurationOptions
}
>
/* <SearchProvider config={configurationOptions}>
<div className="App">
<Layout
header
=
{
<
SearchBox
/>
}
header={<SearchBox autocompleteSuggestions={true}
/>}
bodyContent={<Results titleField="name" urlField="image_url"/>}
sideContent={
<div>
<Sorting
label={"Sort by"}
sortOptions={[
{
name: "Relevance",
value: "",
direction: ""
},
{
name: "Name",
value: "name",
direction: "asc"
}
]}
/>
<Facet field="user_score" label="User Score" />
</div>
<
/SearchProvider
>
);
}
}
bodyHeader={
<>
<PagingInfo />
<ResultsPerPage />
</>
}
bodyFooter={<Paging />}
/>
export
default
App
;
</div>
</SearchProvider>
*/
...
...
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