Spaces:
Running
Running
File size: 27,900 Bytes
1e2158c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 | import React, { useState, useEffect, useRef, useMemo } from 'react';
import { motion, AnimatePresence } from 'framer-motion';
import {
Camera, LayoutDashboard, Database, Image as ImageIcon, Crosshair,
Settings, Play, BarChart2, Eye, GitBranch, Box, Upload,
AlertCircle, Sparkles, Network, Target, Activity, Layout,
Rocket, Download, Cpu, TrendingUp, Zap, Clock, Layers,
Shield, Server, HardDrive, CheckCircle2, XCircle
} from 'lucide-react';
import { useUserStore } from '@/store/userStore';
import { useCVStore } from '@/store/cvStore';
import { useToast } from '@/contexts/ToastContext';
import apiService, { api } from '@/services/api';
import { TrainingMode, CVTrainingConfig } from '@/types/cv';
// Components
import CVDatasetUpload from '@/components/cv/CVDatasetUpload';
import CVDatasetGallery from '@/components/cv/CVDatasetGallery';
import CVTrainingConfigPanel from '@/components/cv/CVTrainingConfig';
import CVTrainingMonitor from '@/components/cv/CVTrainingMonitor';
import CVResultsDashboard from '@/components/cv/CVResultsDashboard';
import CVPredictionPanel from '@/components/cv/CVPredictionPanel';
import CVExperimentTracker from '@/components/cv/CVExperimentTracker';
import CVDeployPanel from '@/components/cv/CVDeployPanel';
import CVModelHub from '@/components/cv/CVModelHub';
const ComputerVision: React.FC = () => {
const { isDark } = useUserStore();
const toast = useToast();
const {
activeTab, setActiveTab,
datasets, setDatasets, addDataset, activeDatasetId, setActiveDatasetId,
activeJobId, setActiveJobId, trainingJobs, addTrainingJob, updateTrainingJob
} = useCVStore();
const pollIntervalRef = useRef<NodeJS.Timeout | null>(null);
// Theme classes
const bg = isDark ? 'bg-[#0a0b10]' : 'bg-slate-50';
const bgCard = isDark ? 'bg-white/[0.03]' : 'bg-white';
const border = isDark ? 'border-white/[0.06]' : 'border-slate-200';
const textH = isDark ? 'text-white' : 'text-slate-900';
const textM = isDark ? 'text-slate-400' : 'text-slate-600';
const textS = isDark ? 'text-slate-500' : 'text-slate-500';
useEffect(() => { fetchDatasets(); }, []);
useEffect(() => {
let eventSource: EventSource | null = null;
const activeJob = trainingJobs.find(j => j.id === activeJobId);
if (activeJob && (activeJob.status === 'running' || activeJob.status === 'starting')) {
eventSource = new EventSource(`${api.defaults.baseURL || ''}/api/v1/cv/train/${activeJobId}/progress`);
eventSource.onmessage = (event) => {
try {
const data = JSON.parse(event.data);
if (data.error) { eventSource?.close(); return; }
if (activeJobId) {
updateTrainingJob(activeJobId, {
status: data.status, progress: data.progress,
metrics: data.metrics, modelPath: data.model_path,
completedAt: data.completed_at
});
}
if (['completed', 'failed', 'cancelled'].includes(data.status)) {
eventSource?.close();
if (data.status === 'completed') { toast.success('Training completed!'); setActiveTab('results'); }
else if (data.status === 'failed') { toast.error('Training failed.'); }
}
} catch(e) {}
};
eventSource.onerror = () => { eventSource?.close(); };
}
return () => { if (eventSource) eventSource.close(); };
}, [activeJobId]);
const fetchDatasets = async () => {
try {
const res = await api.get('/api/v1/cv/datasets');
if (res.data.datasets) {
setDatasets(res.data.datasets);
if (res.data.datasets.length > 0 && !activeDatasetId) setActiveDatasetId(res.data.datasets[0].id);
}
} catch (e) { console.error("Failed to fetch datasets", e); }
};
const [selectedTaskType, setSelectedTaskType] = useState<string | null>(null);
const handleDatasetUploadComplete = (dataset: any) => {
addDataset(dataset);
setActiveDatasetId(dataset.id);
if (dataset.taskType) setSelectedTaskType(dataset.taskType);
setActiveTab('vision_tasks');
};
const handleStartTraining = async (mode: TrainingMode, config: CVTrainingConfig, chosenTaskType?: string) => {
if (!activeDatasetId) return;
try {
const activeDs = datasets.find(d => d.id === activeDatasetId);
const taskType = chosenTaskType || selectedTaskType || activeDs?.taskType || 'classification';
const res = await api.post('/api/v1/cv/train', {
dataset_id: activeDatasetId,
mode,
config,
task_type: taskType
});
if (res.data.success) {
const jobId = res.data.job_id;
addTrainingJob({
id: jobId, datasetId: activeDatasetId, userId: 'current', mode, config, status: 'starting',
progress: { status: 'starting', epoch: 0, totalEpochs: config.epochs, loss: 0, valLoss: 0, metrics: {},
logs: [`Initializing ${mode.toUpperCase()} training job for task: ${taskType.toUpperCase()}...`], systemStats: { gpuUsage: 0, vramUsage: '0GB', cpuUsage: 0, ramUsage: '0GB' }, startedAt: new Date().toISOString() },
startedAt: new Date().toISOString()
});
setActiveJobId(jobId);
setActiveTab('live_training');
toast.success(`Started ${mode} training for ${taskType.replace(/_/g, ' ')}`);
}
} catch (e: any) { toast.error(e.response?.data?.detail || 'Failed to start training'); }
};
const handleStopTraining = async () => { if (!activeJobId) return; try { await api.post(`/api/v1/cv/train/${activeJobId}/stop`); toast.success('Training stopped'); } catch (e) {} };
const handlePauseTraining = async () => { if (!activeJobId) return; try { await api.post(`/api/v1/cv/train/${activeJobId}/pause`); } catch (e) {} };
const handleResumeTraining = async () => { if (!activeJobId) return; try { await api.post(`/api/v1/cv/train/${activeJobId}/resume`); } catch (e) {} };
// Computed stats
const completedJobs = trainingJobs.filter(j => j.status === 'completed');
const bestModel = useMemo(() => {
if (completedJobs.length === 0) return null;
return completedJobs.reduce((best, j) => (j.metrics?.mAP50 || 0) > (best.metrics?.mAP50 || 0) ? j : best, completedJobs[0]);
}, [completedJobs]);
const tabs = [
{ id: 'overview', label: 'Overview', icon: LayoutDashboard },
{ id: 'data', label: 'Dataset', icon: Database },
{ id: 'vision_tasks', label: 'Vision Tasks', icon: Crosshair },
{ id: 'training', label: 'Training', icon: Settings },
{ id: 'live_training', label: 'Live Training', icon: Activity },
{ id: 'results', label: 'Results', icon: BarChart2 },
{ id: 'prediction', label: 'Prediction', icon: Eye },
{ id: 'experiments', label: 'Experiments', icon: GitBranch },
{ id: 'model_hub', label: 'Model Hub', icon: Layers },
{ id: 'deploy', label: 'Deploy & Export', icon: Rocket },
];
const activeJob = trainingJobs.find(j => j.id === activeJobId);
return (
<div className={`flex flex-col h-full overflow-hidden ${bg}`}>
{/* Header */}
<div className={`flex items-center justify-between p-4 border-b shrink-0 z-10 ${bgCard} ${border}`}>
<div className="flex items-center gap-3">
<div className="p-2 rounded-xl bg-gradient-to-br from-emerald-500 to-teal-600 text-white shadow-lg shadow-emerald-500/20">
<Camera className="w-5 h-5" />
</div>
<div>
<h1 className={`text-lg font-bold ${textH}`}>Computer Vision Studio</h1>
<p className={`text-xs ${textM}`}>Zero-code, end-to-end vision AI pipelines</p>
</div>
</div>
<div className="flex items-center gap-3">
{activeDatasetId && (
<div className={`hidden md:flex items-center gap-2 px-3 py-1.5 rounded-lg border text-xs font-medium ${border} ${isDark ? 'bg-white/[0.03]' : 'bg-slate-50'}`}>
<Database className="w-3.5 h-3.5 text-emerald-500" />
<span className={`truncate max-w-[140px] ${textH}`}>
{datasets.find(d => d.id === activeDatasetId)?.name || 'Unknown'}
</span>
</div>
)}
{completedJobs.length > 0 && (
<div className={`hidden md:flex items-center gap-2 px-3 py-1.5 rounded-lg border text-xs font-medium ${border} ${isDark ? 'bg-emerald-500/10' : 'bg-emerald-50'}`}>
<CheckCircle2 className="w-3.5 h-3.5 text-emerald-500" />
<span className="text-emerald-600 dark:text-emerald-400">{completedJobs.length} trained</span>
</div>
)}
</div>
</div>
<div className="flex flex-1 overflow-hidden">
<div className="flex-1 overflow-y-auto">
{/* Navigation Tabs */}
<div className={`flex border-b overflow-x-auto no-scrollbar ${border} ${bgCard}`}>
{tabs.map((tab) => (
<button
key={tab.id}
onClick={() => setActiveTab(tab.id as any)}
className={`flex items-center gap-2 px-5 py-3.5 font-medium text-xs transition-all border-b-2 whitespace-nowrap ${
activeTab === tab.id
? 'border-emerald-500 text-emerald-500'
: `border-transparent ${textM} hover:text-emerald-400`
}`}
>
<tab.icon className="w-3.5 h-3.5" />
{tab.label}
{tab.id === 'live_training' && activeJob?.status === 'running' && (
<div className="ml-1 w-1.5 h-1.5 rounded-full bg-emerald-500 animate-pulse" />
)}
</button>
))}
</div>
<div className="p-4 md:p-6 lg:p-8">
<AnimatePresence mode="wait">
<motion.div
key={activeTab}
initial={{ opacity: 0, y: 10 }}
animate={{ opacity: 1, y: 0 }}
exit={{ opacity: 0, y: -10 }}
transition={{ duration: 0.2 }}
className="max-w-7xl mx-auto"
>
{/* ββββββββ OVERVIEW ββββββββ */}
{activeTab === 'overview' && (
<div className="space-y-6">
{/* Quick Stats Row */}
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
<div className={`p-5 rounded-2xl border ${bgCard} ${border} transition-all hover:border-emerald-500/30`}>
<div className="flex items-center justify-between mb-3">
<div className={`p-2 rounded-lg ${isDark ? 'bg-blue-500/10' : 'bg-blue-50'}`}>
<Database className="w-4 h-4 text-blue-500" />
</div>
<span className={`text-[10px] font-bold uppercase tracking-wider ${textS}`}>Datasets</span>
</div>
<p className={`text-3xl font-extrabold ${textH}`}>{datasets.length}</p>
<p className={`text-xs ${textM} mt-1`}>{datasets.reduce((s, d) => s + d.numImages, 0)} total images</p>
</div>
<div className={`p-5 rounded-2xl border ${bgCard} ${border} transition-all hover:border-emerald-500/30`}>
<div className="flex items-center justify-between mb-3">
<div className={`p-2 rounded-lg ${isDark ? 'bg-emerald-500/10' : 'bg-emerald-50'}`}>
<CheckCircle2 className="w-4 h-4 text-emerald-500" />
</div>
<span className={`text-[10px] font-bold uppercase tracking-wider ${textS}`}>Models</span>
</div>
<p className={`text-3xl font-extrabold ${textH}`}>{completedJobs.length}</p>
<p className={`text-xs ${textM} mt-1`}>{trainingJobs.filter(j => j.status === 'running').length} training now</p>
</div>
<div className={`p-5 rounded-2xl border ${bgCard} ${border} transition-all hover:border-emerald-500/30`}>
<div className="flex items-center justify-between mb-3">
<div className={`p-2 rounded-lg ${isDark ? 'bg-purple-500/10' : 'bg-purple-50'}`}>
<Target className="w-4 h-4 text-purple-500" />
</div>
<span className={`text-[10px] font-bold uppercase tracking-wider ${textS}`}>Best mAP50</span>
</div>
<p className={`text-3xl font-extrabold ${textH}`}>
{bestModel ? `${((bestModel.metrics?.mAP50 || 0) * 100).toFixed(1)}%` : 'β'}
</p>
<p className={`text-xs ${textM} mt-1`}>{bestModel ? bestModel.config.model.toUpperCase() : 'No models yet'}</p>
</div>
<div className={`p-5 rounded-2xl border bg-gradient-to-br from-emerald-500 to-teal-600 text-white shadow-lg shadow-emerald-500/20 cursor-pointer hover:shadow-xl hover:scale-[1.02] transition-all`}
onClick={() => setActiveTab('data')}>
<Upload className="w-7 h-7 mb-3 opacity-80" />
<p className="font-bold text-base">New Project</p>
<p className="text-xs opacity-80 mt-0.5">Upload Dataset</p>
</div>
</div>
{/* Quick Actions */}
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
{[
{ icon: Crosshair, title: 'Object Detection', desc: 'YOLOv8 Β· RT-DETR Β· YOLO-World', badge: 'Most Popular', onClick: () => setActiveTab('vision_tasks') },
{ icon: ImageIcon, title: 'Image Classification', desc: 'ResNet Β· EfficientNet Β· ViT', badge: 'Fast Training', onClick: () => setActiveTab('vision_tasks') },
{ icon: Network, title: 'Instance Segmentation', desc: 'YOLO-Seg Β· Mask R-CNN Β· SAM 2', badge: 'Pixel-Perfect', onClick: () => setActiveTab('vision_tasks') },
].map((action, i) => (
<button key={i} onClick={action.onClick}
className={`p-5 rounded-2xl border text-left transition-all hover:-translate-y-1 hover:shadow-lg group ${bgCard} ${border} hover:border-emerald-500/40`}>
<div className="flex items-center justify-between mb-3">
<div className={`p-2 rounded-xl ${isDark ? 'bg-emerald-500/10' : 'bg-emerald-50'} group-hover:bg-emerald-500/20 transition-colors`}>
<action.icon className="w-5 h-5 text-emerald-500" />
</div>
<span className="text-[9px] font-bold px-2 py-0.5 rounded bg-emerald-500/10 text-emerald-500 tracking-wider">
{action.badge}
</span>
</div>
<h3 className={`text-sm font-bold ${textH} group-hover:text-emerald-500 transition-colors`}>{action.title}</h3>
<p className={`text-xs ${textM} mt-0.5`}>{action.desc}</p>
</button>
))}
</div>
{/* Recent Datasets */}
<div className={`p-6 rounded-2xl border ${bgCard} ${border}`}>
<div className="flex items-center justify-between mb-4">
<h3 className={`text-sm font-bold ${textH}`}>Recent Datasets</h3>
<button onClick={() => setActiveTab('data')} className="text-xs font-medium text-emerald-500 hover:text-emerald-400">
View All β
</button>
</div>
{datasets.length === 0 ? (
<div className={`text-center py-8 ${textS} text-sm`}>No datasets uploaded yet. Upload your first dataset to get started.</div>
) : (
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-3">
{datasets.slice(0, 6).map(d => (
<div key={d.id} onClick={() => { setActiveDatasetId(d.id); setActiveTab('data'); }}
className={`p-4 rounded-xl border cursor-pointer transition-all hover:border-emerald-500/40 hover:-translate-y-0.5 ${border} ${isDark ? 'hover:bg-white/[0.02]' : 'hover:bg-slate-50'} ${
activeDatasetId === d.id ? 'border-emerald-500/50 ring-1 ring-emerald-500/20' : ''
}`}>
<div className={`font-bold text-sm mb-1.5 truncate ${textH}`}>{d.name}</div>
<div className={`text-xs flex gap-3 ${textM}`}>
<span className="flex items-center gap-1"><ImageIcon className="w-3 h-3" /> {d.numImages} imgs</span>
<span className="flex items-center gap-1"><Target className="w-3 h-3" /> {d.numClasses} cls</span>
</div>
</div>
))}
</div>
)}
</div>
{/* Recent Training Runs */}
{trainingJobs.length > 0 && (
<div className={`p-6 rounded-2xl border ${bgCard} ${border}`}>
<div className="flex items-center justify-between mb-4">
<h3 className={`text-sm font-bold ${textH}`}>Training History</h3>
<button onClick={() => setActiveTab('experiments')} className="text-xs font-medium text-emerald-500 hover:text-emerald-400">
All Experiments β
</button>
</div>
<div className="space-y-2">
{trainingJobs.slice(0, 5).map(job => (
<div key={job.id} className={`flex items-center justify-between p-3 rounded-xl border ${border} ${isDark ? 'hover:bg-white/[0.02]' : 'hover:bg-slate-50'} transition-colors`}>
<div className="flex items-center gap-3">
<div className={`w-2 h-2 rounded-full ${
job.status === 'completed' ? 'bg-emerald-500' :
job.status === 'running' ? 'bg-blue-500 animate-pulse' :
job.status === 'failed' ? 'bg-red-500' : 'bg-slate-400'
}`} />
<div>
<span className={`text-xs font-bold ${textH}`}>{job.config.model.toUpperCase()}</span>
<span className={`text-xs ${textS} ml-2`}>{job.mode} Β· {job.progress.totalEpochs} epochs</span>
</div>
</div>
<div className="flex items-center gap-4">
{job.metrics?.mAP50 && (
<span className="text-xs font-bold text-emerald-500 font-mono">
mAP: {((job.metrics.mAP50) * 100).toFixed(1)}%
</span>
)}
<span className={`text-[10px] font-bold px-2 py-0.5 rounded-full uppercase tracking-wider ${
job.status === 'completed' ? 'bg-emerald-500/10 text-emerald-500' :
job.status === 'running' ? 'bg-blue-500/10 text-blue-500' :
job.status === 'failed' ? 'bg-red-500/10 text-red-500' :
'bg-slate-500/10 text-slate-500'
}`}>{job.status}</span>
</div>
</div>
))}
</div>
</div>
)}
</div>
)}
{/* ββββββββ DATASET ββββββββ */}
{activeTab === 'data' && (
<div className="space-y-6">
<CVDatasetUpload onUploadComplete={handleDatasetUploadComplete} />
<CVDatasetGallery />
</div>
)}
{/* ββββββββ VISION TASKS ββββββββ */}
{activeTab === 'vision_tasks' && (
<div className="space-y-6">
<div className="flex items-center gap-3 mb-2">
<div className="p-2 rounded-xl bg-emerald-500/10">
<Sparkles className="w-5 h-5 text-emerald-500" />
</div>
<div>
<h2 className={`text-lg font-bold ${textH}`}>Vision Tasks</h2>
<p className={`text-xs ${textM}`}>Auto-detected from your dataset. Override if needed.</p>
</div>
</div>
<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
{[
{ type: 'object_detection', icon: Crosshair, title: 'Object Detection', desc: 'Find and locate multiple objects using bounding boxes.', format: 'YOLO, COCO', models: 'YOLOv8, RT-DETR' },
{ type: 'classification', icon: ImageIcon, title: 'Image Classification', desc: 'Categorize images into predefined classes.', format: 'Folder Structure', models: 'ResNet, EfficientNet' },
{ type: ['semantic_segmentation', 'instance_segmentation'], icon: Network, title: 'Instance Segmentation', desc: 'Pixel-perfect masks for object boundaries.', format: 'YOLO, COCO', models: 'YOLO-Seg, Mask R-CNN' },
{ type: 'pose_estimation', icon: Activity, title: 'Keypoint Detection', desc: 'Detect and track specific points on objects.', format: 'COCO Keypoints', models: 'YOLO-Pose, HRNet' },
{ type: 'ocr', icon: Layout, title: 'OCR', desc: 'Extract text from images.', format: 'JSON/TXT', models: 'TrOCR, PaddleOCR' },
].map((task, i) => {
const currentTaskType = datasets.find(d => d.id === activeDatasetId)?.taskType;
const isActive = Array.isArray(task.type) ? task.type.includes(currentTaskType || '') : currentTaskType === task.type;
return (
<div key={i} className={`p-5 rounded-2xl border transition-all cursor-pointer relative overflow-hidden ${bgCard} ${
isActive ? 'border-emerald-500 shadow-lg shadow-emerald-500/10' : `${border} hover:border-emerald-500/40 hover:-translate-y-0.5`
}`}>
{isActive && <div className="absolute top-0 right-0 px-2.5 py-0.5 bg-emerald-500 text-white text-[9px] font-bold rounded-bl-lg tracking-wider">AUTO-DETECTED</div>}
<task.icon className={`w-8 h-8 mb-3 ${isActive ? 'text-emerald-500' : textM}`} />
<h3 className={`text-sm font-bold mb-1.5 ${textH}`}>{task.title}</h3>
<p className={`text-xs ${textM} mb-3 leading-relaxed`}>{task.desc}</p>
<div className={`space-y-1.5 text-xs ${textM} mb-4`}>
<div className="flex justify-between"><span className={textS}>Format:</span><span className="text-emerald-500 font-medium">{task.format}</span></div>
<div className="flex justify-between"><span className={textS}>Models:</span><span className={`font-medium ${textH}`}>{task.models}</span></div>
</div>
<button onClick={() => {
const chosenType = Array.isArray(task.type) ? task.type[0] : task.type;
setSelectedTaskType(chosenType);
setActiveTab('training');
toast.info(`Selected task: ${task.title}`);
}}
className={`w-full py-2 rounded-xl text-sm font-bold transition-colors ${
isActive ? 'bg-emerald-500 text-white hover:bg-emerald-600' : `border ${border} text-emerald-500 hover:bg-emerald-500 hover:text-white`
}`}>
Proceed to Training
</button>
</div>
);
})}
</div>
</div>
)}
{/* ββββββββ TRAINING CONFIG ββββββββ */}
{activeTab === 'training' && (
<CVTrainingConfigPanel
onStartTraining={handleStartTraining}
selectedTaskType={selectedTaskType || undefined}
disabled={!activeDatasetId || (activeJob && activeJob.status === 'running')}
/>
)}
{/* ββββββββ LIVE TRAINING ββββββββ */}
{activeTab === 'live_training' && (
activeJob ? (
<CVTrainingMonitor
job={activeJob}
onPause={handlePauseTraining}
onResume={handleResumeTraining}
onStop={handleStopTraining}
/>
) : (
<div className="flex flex-col items-center justify-center h-64 text-center">
<Play className={`w-14 h-14 mb-4 ${isDark ? 'text-slate-700' : 'text-slate-300'}`} />
<h3 className={`text-lg font-bold ${textH}`}>No Active Training</h3>
<p className={`text-xs ${textM} mt-1`}>Start a training job to monitor it live.</p>
<button onClick={() => setActiveTab('training')} className="mt-4 px-5 py-2 rounded-xl bg-emerald-500 text-white font-medium text-sm hover:bg-emerald-400 transition-colors">
Go to Training Config
</button>
</div>
)
)}
{/* ββββββββ RESULTS ββββββββ */}
{activeTab === 'results' && (
activeJob?.status === 'completed' ? (
<CVResultsDashboard job={activeJob} />
) : (
<div className="flex flex-col items-center justify-center h-64 text-center">
<BarChart2 className={`w-14 h-14 mb-4 ${isDark ? 'text-slate-700' : 'text-slate-300'}`} />
<h3 className={`text-lg font-bold ${textH}`}>No Results Yet</h3>
<p className={`text-xs ${textM} mt-1`}>Complete a training job to view results.</p>
</div>
)
)}
{/* ββββββββ PREDICTION ββββββββ */}
{activeTab === 'prediction' && <CVPredictionPanel />}
{/* ββββββββ EXPERIMENTS ββββββββ */}
{activeTab === 'experiments' && <CVExperimentTracker />}
{/* ββββββββ MODEL HUB ββββββββ */}
{activeTab === 'model_hub' && <CVModelHub />}
{/* ββββββββ DEPLOY & EXPORT ββββββββ */}
{activeTab === 'deploy' && <CVDeployPanel />}
</motion.div>
</AnimatePresence>
</div>
</div>
</div>
</div>
);
};
export default ComputerVision;
|