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import React from 'react'
import { useImageClassification } from '../../contexts/ImageClassificationContext'
const ImageClassificationConfig = () => {
const { topK, setTopK } = useImageClassification()
return (
<div className="space-y-4">
<h3 className="text-lg font-semibold text-gray-900">
Image Classification Settings
</h3>
<div className="space-y-3">
<div>
<label className="block text-sm font-medium text-gray-700 mb-1">
Top K Predictions: {topK}
</label>
<input
type="range"
min="1"
max="10"
step="1"
value={topK}
onChange={(e) => setTopK(parseInt(e.target.value))}
className="w-full h-2 bg-gray-200 rounded-lg appearance-none cursor-pointer"
/>
<div className="flex justify-between text-xs text-gray-400 mt-1">
<span>1</span>
<span>5</span>
<span>10</span>
</div>
<p className="text-xs text-gray-500 mt-1">
Number of top predictions to return for each image
</p>
</div>
<div className="p-3 bg-yellow-50 border border-yellow-200 rounded-lg">
<h4 className="text-sm font-medium text-yellow-800 mb-2">💡 Tips</h4>
<div className="text-xs text-yellow-700 space-y-1">
<p>• Use Top K = 3-5 for most cases</p>
<p>• Smaller images process faster</p>
<p>• Try quantized models for speed</p>
</div>
</div>
</div>
</div>
)
}
export default ImageClassificationConfig
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