Spaces:
Running
Running
File size: 12,337 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 | import React, { useState } from 'react';
import { Download, Box, Server, Smartphone, Cpu, CheckCircle2, Loader2, Code2, Terminal, Copy, Check, ShieldCheck, Zap, FileCode } from 'lucide-react';
import { useUserStore } from '@/store/userStore';
import { useCVStore } from '@/store/cvStore';
import { api } from '@/services/api';
import { useToast } from '@/contexts/ToastContext';
const CVDeployPanel: React.FC = () => {
const { isDark } = useUserStore();
const toast = useToast();
const { activeJobId, trainingJobs } = useCVStore();
const [selectedFormats, setSelectedFormats] = useState<string[]>(['pytorch', 'onnx']);
const [isExporting, setIsExporting] = useState(false);
const [exportResult, setExportResult] = useState<any>(null);
const [copiedCode, setCopiedCode] = useState(false);
const activeJob = trainingJobs.find(j => j.id === activeJobId);
const exportOptions = [
{ id: 'pytorch', name: 'PyTorch (.pt)', icon: Box, desc: 'Original weights, best for Python.' },
{ id: 'onnx', name: 'ONNX', icon: Cpu, desc: 'Universal format for C++/C#/Python.' },
{ id: 'fastapi', name: 'FastAPI Server (app.py)', icon: Server, desc: 'Ready-to-deploy REST API server.' },
{ id: 'docker', name: 'Docker Container', icon: Box, desc: 'Dockerfile & container setup.' },
{ id: 'tensorrt', name: 'TensorRT', icon: Zap, desc: 'NVIDIA GPU optimized engine.' },
{ id: 'tflite', name: 'TFLite', icon: Smartphone, desc: 'Android / iOS mobile format.' }
];
const toggleFormat = (id: string) => {
setSelectedFormats(prev =>
prev.includes(id) ? prev.filter(f => f !== id) : [...prev, id]
);
};
const handleExport = async () => {
if (!activeJobId) return;
setIsExporting(true);
setExportResult(null);
try {
const res = await api.post(`/api/v1/cv/models/${activeJobId}/export`, {
formats: selectedFormats
});
if (res.data.success) {
setExportResult(res.data);
toast.success('Export ZIP package generated successfully!');
} else {
toast.error(res.data.error || 'Export failed');
}
} catch (err: any) {
toast.error(err.response?.data?.detail || 'API Error');
} finally {
setIsExporting(false);
}
};
const handleDownload = async () => {
const jobId = activeJobId || (trainingJobs.length > 0 ? trainingJobs[0].id : null);
if (!jobId) {
toast.error('No trained model available to download. Please train a model first.');
return;
}
setIsExporting(true);
try {
// 1. Auto-generate export package
await api.post(`/api/v1/cv/models/${jobId}/export`, {
formats: selectedFormats
});
// 2. Download generated ZIP file
const res = await api.get(`/api/v1/cv/export/${jobId}/download`, {
responseType: 'blob'
});
const url = window.URL.createObjectURL(new Blob([res.data]));
const link = document.createElement('a');
link.href = url;
link.setAttribute('download', `datavision_cv_model_${jobId}.zip`);
document.body.appendChild(link);
link.click();
link.parentNode?.removeChild(link);
toast.success('Model ZIP package downloaded successfully!');
} catch (err: any) {
toast.error(err.response?.data?.detail || 'Download failed. Please try again.');
} finally {
setIsExporting(false);
}
};
const pyCodeSnippet = `import cv2
from ultralytics import YOLO
# Load the trained model weights
model = YOLO('models/best.pt')
# Run inference on any image
def predict(image_path):
results = model(image_path)
for r in results:
# Print predictions
if hasattr(r, 'probs') and r.probs is not None:
top1_id = int(r.probs.top1)
print(f"Prediction: {r.names[top1_id]} ({float(r.probs.top1conf)*100:.1f}%)")
else:
for box in r.boxes:
print(f"Detected: {r.names[int(box.cls[0])]} ({float(box.conf[0]):.2f})")
if __name__ == '__main__':
predict('test_image.jpg')`;
const copyCode = () => {
navigator.clipboard.writeText(pyCodeSnippet);
setCopiedCode(true);
toast.success('Python code copied!');
setTimeout(() => setCopiedCode(false), 2000);
};
if (!activeJobId || !activeJob || activeJob.status !== 'completed') {
return (
<div className="flex flex-col items-center justify-center h-64 text-center">
<Server className="w-16 h-16 mb-4 text-slate-300 dark:text-slate-700" />
<h3 className="text-xl font-bold" style={{ color: 'var(--text-primary)' }}>No Model Available</h3>
<p className="mt-2 text-sm max-w-md" style={{ color: 'var(--text-muted)' }}>
You need to complete a training job first before you can export model code & weights.
</p>
</div>
);
}
return (
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
<div className="space-y-6">
{/* Export Formats Selector */}
<div className="p-5 rounded-2xl border" style={{ backgroundColor: 'var(--bg-card)', borderColor: 'var(--border-color)' }}>
<h3 className="font-bold text-lg mb-1" style={{ color: 'var(--text-primary)' }}>Model Export & Package Generator</h3>
<p className="text-xs mb-4" style={{ color: 'var(--text-muted)' }}>
Select output formats to package into a standalone, runnable ZIP bundle.
</p>
<div className="grid grid-cols-1 sm:grid-cols-2 gap-3">
{exportOptions.map((opt) => {
const isSelected = selectedFormats.includes(opt.id);
return (
<div
key={opt.id}
onClick={() => toggleFormat(opt.id)}
className={`p-4 rounded-xl border cursor-pointer transition-all flex flex-col gap-2 ${
isSelected
? 'border-emerald-500 bg-emerald-500/10 shadow-sm'
: 'hover:border-emerald-500/50'
}`}
style={{ borderColor: isSelected ? '' : 'var(--border-color)' }}
>
<div className="flex items-center justify-between">
<div className={`p-2 rounded-lg ${isSelected ? 'bg-emerald-500 text-white' : 'bg-black/5 dark:bg-white/5 text-slate-500'}`}>
<opt.icon className="w-4 h-4" />
</div>
{isSelected && <CheckCircle2 className="w-5 h-5 text-emerald-500" />}
</div>
<div className="font-bold mt-1" style={{ color: 'var(--text-primary)' }}>{opt.name}</div>
<div className="text-xs" style={{ color: 'var(--text-muted)' }}>{opt.desc}</div>
</div>
);
})}
</div>
<button
onClick={handleExport}
disabled={isExporting || selectedFormats.length === 0}
className="mt-6 w-full py-3.5 rounded-xl font-bold flex items-center justify-center gap-2 text-white bg-gradient-to-r from-emerald-500 to-teal-500 hover:from-emerald-600 hover:to-teal-600 shadow-lg shadow-emerald-500/20 hover:shadow-emerald-500/40 disabled:opacity-50 disabled:cursor-not-allowed transition-all"
>
{isExporting ? (
<>
<Loader2 className="w-5 h-5 animate-spin" />
Packaging Model & Code...
</>
) : (
<>
<Box className="w-5 h-5" />
Generate Model ZIP Package
</>
)}
</button>
</div>
{/* Python Runnable Code Snippet */}
<div className="p-5 rounded-2xl border" style={{ backgroundColor: 'var(--bg-card)', borderColor: 'var(--border-color)' }}>
<div className="flex justify-between items-center mb-3">
<div className="flex items-center gap-2">
<FileCode className="w-4 h-4 text-emerald-500" />
<h3 className="font-bold text-sm" style={{ color: 'var(--text-primary)' }}>Runnable Inference Code (inference.py)</h3>
</div>
<button onClick={copyCode} className="text-xs font-medium text-emerald-500 flex items-center gap-1">
{copiedCode ? <Check className="w-3.5 h-3.5" /> : <Copy className="w-3.5 h-3.5" />}
{copiedCode ? 'Copied' : 'Copy Code'}
</button>
</div>
<pre className="p-4 rounded-xl border text-[11px] font-mono overflow-x-auto text-slate-300 bg-slate-950 border-slate-800 leading-relaxed">
{pyCodeSnippet}
</pre>
</div>
</div>
<div className="space-y-6">
<div className="p-5 rounded-2xl border min-h-[400px] flex flex-col" style={{ backgroundColor: 'var(--bg-card)', borderColor: 'var(--border-color)' }}>
<h3 className="font-bold text-lg mb-4" style={{ color: 'var(--text-primary)' }}>Package Download Manifest</h3>
{!exportResult ? (
<div className="flex-1 flex flex-col items-center justify-center text-center opacity-50">
<Box className="w-16 h-16 mb-4 text-slate-400" />
<p className="text-sm font-medium" style={{ color: 'var(--text-primary)' }}>Click "Generate Model ZIP Package" to prepare downloadable code & model</p>
</div>
) : (
<div className="flex-1 flex flex-col space-y-6">
<div className="p-4 rounded-xl border bg-emerald-500/10 border-emerald-500/30 flex items-center gap-4">
<div className="p-3 bg-emerald-500 rounded-full text-white shrink-0">
<CheckCircle2 className="w-6 h-6" />
</div>
<div>
<h4 className="font-bold text-emerald-500 text-base">Model ZIP Ready</h4>
<p className="text-xs font-mono font-medium" style={{ color: 'var(--text-primary)' }}>{exportResult.filename} ({exportResult.size_mb?.toFixed(2)} MB)</p>
</div>
</div>
<div>
<h4 className="text-sm font-semibold mb-3" style={{ color: 'var(--text-primary)' }}>ZIP Package Includes:</h4>
<ul className="space-y-2.5">
<li className="flex items-center gap-2 text-xs font-medium" style={{ color: 'var(--text-muted)' }}>
<CheckCircle2 className="w-4 h-4 text-emerald-500 shrink-0" /> Trained Model Checkpoint Weights (`models/best.pt`)
</li>
{selectedFormats.map(fmt => (
<li key={fmt} className="flex items-center gap-2 text-xs font-medium" style={{ color: 'var(--text-muted)' }}>
<CheckCircle2 className="w-4 h-4 text-emerald-500 shrink-0" /> {exportOptions.find(o => o.id === fmt)?.name} exported format
</li>
))}
<li className="flex items-center gap-2 text-xs font-medium" style={{ color: 'var(--text-muted)' }}>
<CheckCircle2 className="w-4 h-4 text-emerald-500 shrink-0" /> Python Inference Script (`inference.py`)
</li>
<li className="flex items-center gap-2 text-xs font-medium" style={{ color: 'var(--text-muted)' }}>
<CheckCircle2 className="w-4 h-4 text-emerald-500 shrink-0" /> FastAPI REST Server (`app.py`)
</li>
<li className="flex items-center gap-2 text-xs font-medium" style={{ color: 'var(--text-muted)' }}>
<CheckCircle2 className="w-4 h-4 text-emerald-500 shrink-0" /> `requirements.txt` & `README.md` Setup Instructions
</li>
</ul>
</div>
<div className="flex-1"></div>
<button
onClick={handleDownload}
className="w-full py-3.5 rounded-xl font-bold flex items-center justify-center gap-2 border-2 border-emerald-500 text-emerald-500 hover:bg-emerald-500 hover:text-white transition-all shadow-lg shadow-emerald-500/10"
>
<Download className="w-5 h-5" />
Download Model ZIP Archive
</button>
</div>
)}
</div>
</div>
</div>
);
};
export default CVDeployPanel;
|