Spaces:
Running
Running
File size: 10,445 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 | import React, { useState, useEffect } from 'react';
import { Search, Filter, Download, Star, Clock, Target, Cpu, HardDrive, ShieldCheck, Trash2 } from 'lucide-react';
import { useUserStore } from '@/store/userStore';
import apiService, { api } from '@/services/api';
import { useToast } from '@/contexts/ToastContext';
const CVModelHub: React.FC = () => {
const { isDark } = useUserStore();
const toast = useToast();
const [searchTerm, setSearchTerm] = useState('');
const [activeTab, setActiveTab] = useState('my_models');
const [models, setModels] = useState<any[]>([]);
const [isLoading, setIsLoading] = useState(false);
useEffect(() => {
fetchModels();
}, []);
const fetchModels = async () => {
setIsLoading(true);
try {
const res = await api.get('/api/v1/cv/models');
if (res.data.models) {
setModels(res.data.models);
}
} catch (e) {
// Mock models fallback
setModels([
{ id: 'm1', name: 'YOLOv8s Helmet Detection', task: 'object_detection', mAP50: 0.942, size_mb: 22.5, tag: 'Trained', completed_at: '2026-07-27' },
{ id: 'm2', name: 'ResNet50 Brain Tumor Classifier', task: 'classification', mAP50: 0.985, size_mb: 98.1, tag: 'High Acc', completed_at: '2026-07-26' }
]);
} finally {
setIsLoading(false);
}
};
const handleDownloadModel = async (modelId: string) => {
try {
await api.post(`/api/v1/cv/models/${modelId}/export`, { formats: ['pytorch', 'onnx'] });
const res = await api.get(`/api/v1/cv/export/${modelId}/download`, { responseType: 'blob' });
const url = window.URL.createObjectURL(new Blob([res.data]));
const link = document.createElement('a');
link.href = url;
link.setAttribute('download', `model_${modelId}.zip`);
document.body.appendChild(link);
link.click();
link.parentNode?.removeChild(link);
toast.success('Model downloaded successfully!');
} catch (e: any) {
toast.error('Failed to download model.');
}
};
const handleDeleteModel = (modelId: string) => {
if (window.confirm('Are you sure you want to delete this trained model?')) {
setModels(prev => prev.filter(m => m.id !== modelId));
toast.success('Model deleted from hub.');
}
};
const tabs = [
{ id: 'my_models', label: 'My Models' },
{ id: 'community', label: 'Community' },
{ id: 'pretrained', label: 'Pre-trained SOTA' }
];
const pretrainedModels = [
{ name: 'YOLOv11x', task: 'Object Detection', mAP50: 0.985, size_mb: 180, isVerified: true, downloads: '1.2M', tag: 'SOTA' },
{ name: 'SAM 2 (Large)', task: 'Zero-Shot Segmentation', mAP50: 0.99, size_mb: 350, isVerified: true, downloads: '850K', tag: 'Meta AI' },
{ name: 'Florence-2', task: 'Vision-Language', mAP50: 0.96, size_mb: 420, isVerified: true, downloads: '500K', tag: 'Microsoft' },
{ name: 'YOLO-World', task: 'Open-Vocabulary Detection', mAP50: 0.94, size_mb: 220, isVerified: true, downloads: '410K', tag: 'Real-time' },
{ name: 'RT-DETR', task: 'Object Detection', mAP50: 0.95, size_mb: 140, isVerified: true, downloads: '320K', tag: 'Transformer' }
];
const communityModels = [
{ name: 'Medical Mask Detect', task: 'Object Detection', mAP50: 0.89, size_mb: 45, author: 'Dr. Jane Smith', downloads: '12K' },
{ name: 'Retail Shelf Scanner', task: 'Object Detection', mAP50: 0.91, size_mb: 60, author: 'RetailCorp', downloads: '8K' },
{ name: 'Plant Disease Seg', task: 'Segmentation', mAP50: 0.85, size_mb: 110, author: 'AgriTech Labs', downloads: '5K' },
];
const displayModels = activeTab === 'my_models' ? models : activeTab === 'community' ? communityModels : pretrainedModels;
return (
<div className="space-y-6">
{/* Header Actions */}
<div className="flex flex-col md:flex-row justify-between gap-4">
<div className="flex-1 relative max-w-xl">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4" style={{ color: 'var(--text-muted)' }} />
<input
type="text"
placeholder="Search models by name, architecture, or task..."
value={searchTerm}
onChange={(e) => setSearchTerm(e.target.value)}
className="w-full pl-10 pr-4 py-2.5 rounded-xl border focus:ring-2 focus:ring-emerald-500/50 outline-none transition-all"
style={{
backgroundColor: 'var(--bg-card)',
borderColor: 'var(--border-color)',
color: 'var(--text-primary)'
}}
/>
</div>
<div className="flex p-1 rounded-xl bg-black/5 dark:bg-white/5 border w-fit" style={{ borderColor: 'var(--border-color)' }}>
{tabs.map((tab) => (
<button
key={tab.id}
onClick={() => setActiveTab(tab.id)}
className={`px-4 py-2 rounded-lg text-sm font-medium transition-all ${
activeTab === tab.id
? 'bg-white dark:bg-slate-800 shadow-sm text-emerald-500'
: 'hover:bg-black/5 dark:hover:bg-white/5 text-slate-500 dark:text-slate-400'
}`}
>
{tab.label}
</button>
))}
</div>
</div>
{/* Model Grid */}
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-4">
{displayModels.length === 0 && !isLoading ? (
<div className="col-span-full py-12 text-center text-slate-500">
No models found.
</div>
) : (
displayModels.map((model, i) => (
<div key={i} className="p-5 rounded-2xl border flex flex-col transition-all hover:-translate-y-1 hover:border-emerald-500/50 hover:shadow-xl hover:shadow-emerald-500/10 group relative overflow-hidden" style={{ backgroundColor: 'var(--bg-card)', borderColor: 'var(--border-color)' }}>
{model.tag && (
<div className="absolute top-0 right-0 px-3 py-1 bg-emerald-500 text-white text-[10px] font-bold tracking-wider uppercase rounded-bl-xl">
{model.tag}
</div>
)}
<div className="flex justify-between items-start mb-4 mt-2">
<div className="flex-1 min-w-0 pr-2">
<h3 className="font-bold text-lg truncate flex items-center gap-1.5" style={{ color: 'var(--text-primary)' }}>
{model.name || model.config?.model?.toUpperCase() || 'Unknown Model'}
{model.isVerified && <ShieldCheck className="w-4 h-4 text-blue-500 shrink-0" />}
</h3>
<div className="text-xs font-mono mt-1 flex items-center gap-2">
<span className="text-emerald-500">{model.job_id ? model.job_id.substring(0, 8) : model.author || 'Official'}</span>
{model.downloads && <span className="text-slate-500">• {model.downloads} dl</span>}
</div>
</div>
<div className="flex items-center gap-1.5 opacity-0 group-hover:opacity-100 transition-all">
<button
onClick={() => handleDownloadModel(model.id)}
className="p-2 rounded-xl border bg-emerald-500/10 hover:bg-emerald-500 hover:text-white transition-all text-emerald-500"
title="Download Model (.zip)"
style={{ borderColor: 'var(--border-color)' }}
>
<Download className="w-4 h-4" />
</button>
<button
onClick={() => handleDeleteModel(model.id)}
className="p-2 rounded-xl border border-red-500/20 bg-red-500/10 hover:bg-red-500 hover:text-white transition-all text-red-500"
title="Delete Model"
>
<Trash2 className="w-4 h-4" />
</button>
</div>
</div>
<div className="flex items-center gap-2 mb-5 text-xs font-medium">
<span className="px-2.5 py-1 rounded-md bg-black/5 dark:bg-white/5 border border-black/5 dark:border-white/5" style={{ color: 'var(--text-primary)' }}>
{model.task || model.config?.task || 'object_detection'}
</span>
</div>
<div className="grid grid-cols-2 gap-3 mb-5">
<div className="p-3 rounded-xl border bg-gradient-to-br from-emerald-500/5 to-transparent flex flex-col items-center justify-center text-center transition-colors group-hover:border-emerald-500/20" style={{ borderColor: 'var(--border-color)' }}>
<div className="text-[10px] uppercase tracking-wider font-bold mb-1" style={{ color: 'var(--text-muted)' }}>
mAP50 Score
</div>
<div className="font-bold text-lg text-emerald-500 font-mono">
{((model.metrics?.mAP50 || model.mAP50 || 0) * 100).toFixed(1)}%
</div>
</div>
<div className="p-3 rounded-xl border bg-black/5 dark:bg-white/5 flex flex-col items-center justify-center text-center transition-colors group-hover:border-slate-500/20" style={{ borderColor: 'var(--border-color)' }}>
<div className="text-[10px] uppercase tracking-wider font-bold mb-1" style={{ color: 'var(--text-muted)' }}>
Model Size
</div>
<div className="font-bold text-lg font-mono" style={{ color: 'var(--text-primary)' }}>
{model.metrics?.modelSizeMB || model.size_mb || '?'} MB
</div>
</div>
</div>
<div className="mt-auto pt-4 border-t flex items-center justify-between text-xs font-medium" style={{ borderColor: 'var(--border-color)', color: 'var(--text-muted)' }}>
<span className="flex items-center gap-1.5"><Clock className="w-3.5 h-3.5" /> {new Date(model.completed_at || Date.now()).toLocaleDateString()}</span>
<span className="flex items-center gap-1 text-amber-500 bg-amber-500/10 px-2 py-0.5 rounded-full"><Star className="w-3 h-3 fill-amber-500" /> 4.9</span>
</div>
</div>
))
)}
</div>
</div>
);
};
export default CVModelHub;
|