Spaces:
Running on Zero
Running on Zero
ADjayantan commited on
Commit ·
11bf2dd
1
Parent(s): b5418a1
EpiADR-Net UI: Added Clinical Research Scope Banner, Export Clinical CSV Report, and UI reliability enhancements
Browse files
frontend/src/components/PredictionPanel.tsx
CHANGED
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@@ -53,6 +53,55 @@ export const PredictionPanel: React.FC<PredictionPanelProps> = ({
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return (
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<div className="space-y-6">
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{/* Molecule Input & Preset Selector */}
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<div className="bg-slate-900 border border-slate-800 rounded-2xl p-5 shadow-lg space-y-4">
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<div className="flex flex-wrap items-center justify-between gap-2 border-b border-slate-800 pb-3">
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return (
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<div className="space-y-6">
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{/* Medical Doctor & Biological Research Scope Banner */}
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<div className="bg-gradient-to-r from-rose-950/80 via-slate-900 to-slate-950 border border-rose-900/60 rounded-2xl p-4 shadow-lg flex flex-wrap items-center justify-between gap-3">
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<div className="flex items-center space-x-3">
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<div className="p-2 bg-rose-900/40 rounded-xl text-rose-300 border border-rose-700/50">
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<ShieldAlert className="w-5 h-5 animate-pulse" />
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</div>
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<div>
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<div className="flex items-center space-x-2">
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<span className="text-xs font-bold text-rose-200 uppercase tracking-wider">Clinical & Biological Research Scope</span>
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<span className="bg-rose-900/60 text-rose-300 text-[10px] font-extrabold px-2 py-0.5 rounded-full border border-rose-700/60">
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MD / Toxicologist Access Only
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</span>
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</div>
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<p className="text-xs text-slate-300 mt-0.5">
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Computational in-silico disaggregation intended for certified Medical Doctors, Clinical Pharmacologists, and Preclinical Researchers.
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</p>
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</div>
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</div>
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<button
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onClick={() => {
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const csvData = [
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['Compound Name', prediction.compoundName],
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['SMILES', activeSmiles],
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['Applicability Domain', prediction.applicabilityDomain],
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['Tanimoto Score', prediction.tanimotoSimilarity],
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['Hepatotoxicity (Liver)', `${(prediction.organScores.liver.meanRisk * 100).toFixed(1)}% (±${prediction.organScores.liver.uncertaintySigma})`],
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['Cardiotoxicity (Heart)', `${(prediction.organScores.heart.meanRisk * 100).toFixed(1)}% (±${prediction.organScores.heart.uncertaintySigma})`],
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['Nephrotoxicity (Kidney)', `${(prediction.organScores.kidney.meanRisk * 100).toFixed(1)}% (±${prediction.organScores.kidney.uncertaintySigma})`],
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['Neurotoxicity (Brain)', `${(prediction.organScores.brain.meanRisk * 100).toFixed(1)}% (±${prediction.organScores.brain.uncertaintySigma})`],
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['Pulmotoxicity (Lung)', `${(prediction.organScores.lung.meanRisk * 100).toFixed(1)}% (±${prediction.organScores.lung.uncertaintySigma})`]
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].map(e => e.join(',')).join('\n');
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const blob = new Blob([csvData], { type: 'text/csv;charset=utf-8;' });
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const url = URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.setAttribute('href', url);
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link.setAttribute('download', `EpiADR_Report_${prediction.compoundName.replace(/[^a-zA-Z0-9]/g, '_')}.csv`);
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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}}
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className="px-3.5 py-1.5 bg-slate-950 hover:bg-slate-800 text-rose-300 border border-rose-800/80 rounded-xl text-xs font-bold transition-all flex items-center space-x-1.5 shadow"
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>
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<Database className="w-3.5 h-3.5 text-rose-400" />
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<span>Export Clinical CSV Report</span>
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</button>
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</div>
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{/* Molecule Input & Preset Selector */}
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<div className="bg-slate-900 border border-slate-800 rounded-2xl p-5 shadow-lg space-y-4">
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<div className="flex flex-wrap items-center justify-between gap-2 border-b border-slate-800 pb-3">
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