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import { DataTable } from 'primereact/datatable' | |
import { Column } from 'primereact/column' | |
import { FilterMatchMode } from 'primereact/api' | |
import { MultiSelect } from 'primereact/multiselect' | |
import { useState, useEffect } from 'react' | |
import Medal from './Medal' | |
import { Slider } from 'primereact/slider' | |
import ScoreField from './ScoreField' | |
const ModelTable = ({ data }) => { | |
const [filters, setFilters] = useState({ | |
type: { value: null, matchMode: FilterMatchMode.IN }, | |
size: { value: null, matchMode: FilterMatchMode.BETWEEN } | |
}) | |
const rankBodyTemplate = rowData => { | |
return <Medal rank={rowData.rank} /> | |
} | |
const typeRowFilterTemplate = options => { | |
return ( | |
<MultiSelect | |
value={options.value} | |
options={['Open', 'Commercial']} | |
onChange={e => { | |
options.filterApplyCallback(e.value) | |
setFilters(prevFilters => ({ | |
...prevFilters, | |
type: { value: e.value, matchMode: FilterMatchMode.IN } | |
})) | |
}} | |
placeholder='All types' | |
/> | |
) | |
} | |
const formatSize = size => { | |
if (size === null) { | |
return '' | |
} else if (size < 1000) { | |
return size.toFixed(0) + '' | |
} else if (size < 1000 * 1000) { | |
return (size / 1000).toFixed(0) + 'K' | |
} else if (size < 1000 * 1000 * 1000) { | |
return (size / 1000 / 1000).toFixed(0) + 'M' | |
} else { | |
return (size / 1000 / 1000 / 1000).toFixed(0) + 'B' | |
} | |
} | |
const SliderWithLabel = ({ value, onChange }) => { | |
const p = 10 | |
const min = 8 | |
const max = 12 | |
const start = value === null ? min : Math.log(value[0]) / Math.log(p) | |
const stop = value === null ? max : Math.log(value[1]) / Math.log(p) | |
const [_value, _setValue] = useState([start, stop]) | |
useEffect(() => { | |
const timer = setTimeout(() => { | |
onChange({ | |
value: | |
_value[0] <= min + 0.1 && _value[1] >= max - 0.1 | |
? null | |
: [p ** _value[0], p ** _value[1]] | |
}) | |
}, 1000) | |
return () => clearTimeout(timer) | |
}, [_value, onChange]) | |
return ( | |
<div style={{ minWidth: '20rem' }}> | |
<div>{formatSize(p ** _value[0])}</div> | |
<div>{formatSize(p ** _value[1])}</div> | |
<Slider | |
value={_value} | |
onChange={e => _setValue(e.value)} | |
placeholder='All sizes' | |
min={min} | |
max={max} | |
step={0.01} | |
range | |
style={{ marginTop: '5rem' }} | |
/> | |
</div> | |
) | |
} | |
const sizeFilterTemplate = options => { | |
return ( | |
<SliderWithLabel | |
value={options.value} | |
onChange={e => { | |
options.filterApplyCallback(e.value) | |
setFilters(prevFilters => ({ | |
...prevFilters, | |
size: { value: e.value, matchMode: FilterMatchMode.BETWEEN } | |
})) | |
}} | |
/> | |
) | |
} | |
const sizeBodyTemplate = rowData => { | |
const sizeStr = formatSize(rowData.size) | |
return <div style={{ textAlign: 'center' }}>{sizeStr}</div> | |
} | |
const capitalize = s => String(s).charAt(0).toUpperCase() + String(s).slice(1) | |
const providerBodyTemplate = rowData => { | |
const providerName = rowData.model.split('/')[0].split('-').map(capitalize).join(' ') | |
return providerName | |
} | |
const modelBodyTemplate = rowData => { | |
const modelName = rowData.model.split('/')[1].split('-').map(capitalize).join(' ') | |
return ( | |
<div style={{ fontWeight: 'bold', height: '100%' }}>{modelName}</div> | |
) | |
} | |
const typeBodyTemplate = rowData => { | |
return rowData.type === 'Open' ? ( | |
<i className='pi pi-lock-open' title='Open weights' /> | |
) : ( | |
<i className='pi pi-lock' title='API only' /> | |
) | |
} | |
const scoreBodyTemplate = (field, options = {}) => { | |
const { minScore = 0, maxScore = 1 } = options | |
return rowData => { | |
const score = rowData[field] | |
return ScoreField(score, minScore, maxScore) | |
} | |
} | |
return ( | |
<DataTable | |
value={data} | |
header={<>AI Models</>} | |
sortField='average' | |
removableSort | |
filters={filters} | |
filterDisplay='menu' | |
scrollable | |
scrollHeight='600px' | |
id='model-table' | |
> | |
<Column field='rank' body={rankBodyTemplate} /> | |
<Column field='provider' header='Provider' style={{ minWidth: '5rem' }} body={providerBodyTemplate} /> | |
<Column | |
field='model' | |
header='Model' | |
style={{ minWidth: '10rem' }} | |
body={modelBodyTemplate} | |
frozen | |
/> | |
<Column | |
field='type' | |
header={<i className='pi pi-unlock' title='Open weights / API only' />} | |
filter | |
filterElement={typeRowFilterTemplate} | |
showFilterMatchModes={false} | |
body={typeBodyTemplate} | |
/> | |
<Column | |
field='size' | |
header={null} | |
filter | |
filterElement={sizeFilterTemplate} | |
showFilterMatchModes={false} | |
sortable | |
body={sizeBodyTemplate} | |
style={{ minWidth: '5rem' }} | |
/> | |
<Column | |
field='average' | |
header='Average' | |
sortable | |
body={scoreBodyTemplate('average', { minScore: 0.3, maxScore: 0.6 })} | |
style={{ minWidth: '5rem', maxWidth: '10rem' }} | |
/> | |
<Column | |
field='translation_chrf' | |
header='Translation' | |
sortable | |
body={scoreBodyTemplate('translation_chrf', { | |
minScore: 0.3, | |
maxScore: 0.7 | |
})} | |
style={{ minWidth: '5rem', maxWidth: '10rem' }} | |
/> | |
<Column | |
field='classification_accuracy' | |
header='Classification' | |
sortable | |
body={scoreBodyTemplate('classification_accuracy', { | |
minScore: 0.3, | |
maxScore: 0.8 | |
})} | |
style={{ minWidth: '5rem', maxWidth: '10rem' }} | |
/> | |
<Column | |
field='language_modeling_chrf' | |
header='Language Modeling' | |
sortable | |
body={scoreBodyTemplate('language_modeling_chrf', { | |
minScore: 0.8, | |
maxScore: 1 | |
})} | |
style={{ minWidth: '5rem', maxWidth: '10rem' }} | |
/> | |
</DataTable> | |
) | |
} | |
export default ModelTable | |