Upgrade async GPU analysis and workbench UX

frontend/src/components/detection/DetectionModelManagement.tsx

@@ -4,6 +4,7 @@ import type {
   YoloPreflightResponse,
 } from '../../types'
 import { DETECTION_OPERATOR_PROFILES, type DetectionOperatorProfile } from './detectionProfiles'
+import { analysisModelAvailabilityMessage } from '../models/modelOptions'
 
 interface DetectionModelManagementProps {
   detectionModels: DetectionModelCapability[]
@@ -39,6 +40,8 @@ function statusLabel(value: string): string {
   if (value === 'configured' || value === 'ready') return 'gereed'
   if (value === 'not_configured') return 'niet geconfigureerd'
   if (value === 'dependency_unavailable') return 'software ontbreekt'
+  if (value === 'accelerator_unavailable') return 'GPU niet beschikbaar'
+  if (value === 'contract_incomplete') return 'provenance onvolledig'
   return value.replace(/_/g, ' ')
 }
 
@@ -65,6 +68,7 @@ export function DetectionModelManagement({
   const yoloRuntimeReady = Boolean(
     yoloPreflight?.checks.enabled
       && yoloPreflight.checks.dependencies_available
+      && yoloPreflight.checks.accelerator_ready === true
       && yoloPreflight.checks.model_file_exists,
   )
 
@@ -110,7 +114,7 @@ export function DetectionModelManagement({
                   {statusLabel(model.status)}
                 </span>
                 <p className="muted">Ondersteunde klassen: {model.supported_classes.join(', ') || 'niet opgegeven'}</p>
-                <p className="muted">{model.limitation_message}</p>
+                <p className="muted">{analysisModelAvailabilityMessage(model)}</p>
                 <details className="technical-inline-details">
                   <summary>Technische identificatie</summary>
                   <div className="entity-meta">