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import { useState, useEffect } from 'react'
import { PrimeReactProvider } from 'primereact/api'
import 'primereact/resources/themes/lara-light-cyan/theme.css'
import ModelTable from './components/ModelTable'
import LanguageTable from './components/LanguageTable'
import DatasetTable from './components/DatasetTable'
import WorldMap from './components/WorldMap'
import AutoComplete from './components/AutoComplete'
import LanguagePlot from './components/LanguagePlot'
import SpeakerPlot from './components/SpeakerPlot'
import HistoryPlot from './components/HistoryPlot'
import { Carousel } from 'primereact/carousel'
function App () {
const [data, setData] = useState(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState(null)
const [selectedLanguages, setSelectedLanguages] = useState([])
useEffect(() => {
fetch('/api/data', {
method: 'POST',
body: JSON.stringify({ selectedLanguages })
})
.then(response => {
if (!response.ok) {
throw new Error('Network response was not ok')
}
return response.json()
})
.then(jsonData => {
setData(jsonData)
setLoading(false)
})
.catch(err => {
setError(err.message)
setLoading(false)
})
}, [selectedLanguages])
return (
<PrimeReactProvider>
<div style={{ height: '100%', display: 'flex', flexDirection: 'column' }}>
<div style={{backgroundColor: '#fff3cd', color: '#856404', padding: '0.75rem 1.25rem', marginBottom: '1rem', border: '1px solid #ffeeba', borderRadius: '0.25rem', textAlign: 'center'}}>
<strong>Work in Progress:</strong> This dashboard is currently under active development. Evaluation results are not yet final.
</div>
<header
style={{
display: 'flex',
flexDirection: 'column',
alignItems: 'center',
justifyContent: 'center',
padding: '5vh 0'
}}
>
<div>
<span
role='img'
aria-label='Globe Emoji'
style={{ fontSize: '70px' }}
>
🌍
</span>
</div>
<h1 style={{ fontSize: '2.5rem', fontWeight: '700' }}>
AI Language Proficiency Monitor
</h1>
<p style={{ fontSize: '1.15rem', color: '#555', marginTop: '0' }}>
Tracking language proficiency of AI models for every language
</p>
{data && (
<AutoComplete
languages={data?.language_table}
onComplete={items => setSelectedLanguages(items)}
/>
)}
<div style={{maxWidth: '600px', textAlign: 'center', marginTop: '2rem'}}>
<p>The <i>AI Language Proficiency Monitor</i> presents comprehensive multilingual evaluation results of AI language models.</p>
<ul style={{textAlign: 'left'}}>
<li><b>Practitioners</b> can pick the best model for a given language.</li>
<li><b>Policymakers and funders</b> can identify and prioritize neglected languages.</li>
<li><b>Model developers</b> can compete on our <i>AI Language Proficiency</i> metric.</li>
</ul>
<p>We invite the community to <a href="#">submit</a> their custom finetuned models, and to <a href="#">integrate</a> benchmarks for more languages and tasks.</p>
<p>Benchmark results automatically refresh every night and include the most popular models on <a href="https://openrouter.ai" target="_blank" rel="noopener noreferrer">OpenRouter</a>, plus community-listed models.</p>
<p>For a detailed methodlogy, see <a href="#">XXX</a>.</p>
<p>The AI Language Proficiency Monitor is a collaboration between BMZ's <a href="https://www.bmz-digital.global/en/overview-of-initiatives/the-bmz-data-lab/" target="_blank" rel="noopener noreferrer">Data Lab</a>, GIZ's <a href="https://www.giz.de/expertise/html/61982.html" target="_blank" rel="noopener noreferrer">FairForward</a> initiative, and the <a href="https://www.dfki.de/en/web/research/research-departments/multilinguality-and-language-technology/ee-team" target="_blank" rel="noopener noreferrer">E&E group</a> of DFKI's Multilinguality and Language Technology Lab.</p>
</div>
</header>
<main
style={{
display: 'flex',
flexDirection: 'row',
flexWrap: 'wrap',
gap: '2rem',
alignItems: 'center',
width: '100%',
height: '100%',
justifyContent: 'center',
paddingBottom: '5vh'
}}
>
{loading && (
<i className='pi pi-spinner pi-spin' style={{ fontSize: '4rem' }} />
)}
{error && <p>Error: {error}</p>}
{data && (
<>
<div
style={{
flex: '60vw 100vw 40vw',
maxWidth: 'min(100vw, 800px)'
}}
>
<ModelTable data={data.model_table} />
</div>
<div
style={{
flex: '60vw 100vw 40vw',
maxWidth: 'min(100vw, 800px)'
}}
>
<LanguageTable
data={data.language_table}
selectedLanguages={selectedLanguages}
setSelectedLanguages={setSelectedLanguages}
/>
</div>
<div
style={{
flex: '60vw 100vw 40vw',
maxWidth: 'min(100vw, 800px)'
}}
>
<DatasetTable data={data} />
</div>
<div
id='figure'
style={{
flex: '100vw 100vw 100vw',
maxWidth: 'min(100vw, 800px)',
alignItems: 'center',
justifyContent: 'center',
width: '100%'
}}
>
<Carousel
value={[
<WorldMap data={data.countries} />,
<LanguagePlot data={data} />,
<SpeakerPlot data={data} />,
<HistoryPlot data={data} />,
]}
numScroll={1}
numVisible={1}
itemTemplate={item => item}
circular
style={{ width: '100%', minHeight: '650px' }}
/>
</div>
</>
)}
</main>
</div>
</PrimeReactProvider>
)
}
export default App
|