"use client" import { useState, useEffect } from "react" import { Card, CardHeader, CardTitle, CardDescription, CardContent } from "@/components/ui/card" import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import { Badge } from "@/components/ui/badge" import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select" import { Progress } from "@/components/ui/progress" import { FolderOpen, CheckCircle2, AlertCircle, Loader2, Cpu, HardDrive, Zap, XCircle } from "lucide-react" import { loadModel, getModelStatus, unloadModel, validatePath } from "@/lib/api" export function ModelLoader({ onLoaded }: { onLoaded?: ()=>void }) { const [path, setPath] = useState("C:\\models\\mistral-7b") const [dtype, setDtype] = useState("float16") const [quant, setQuant] = useState("none") const [deviceMap, setDeviceMap] = useState("auto") const [loading, setLoading] = useState(false) const [status, setStatus] = useState(null) const [validation, setValidation] = useState(null) const [error, setError] = useState(null) const fetchStatus = async () => { try { const s = await getModelStatus(); setStatus(s) } catch {} } useEffect(()=>{ fetchStatus(); const id=setInterval(fetchStatus, 3000); return ()=>clearInterval(id)},[]) const handleValidate = async () => { try { const v = await validatePath(path); setValidation(v); setError(null) } catch(e:any){ setError(e.message); setValidation(null) } } const handleLoad = async () => { setLoading(true); setError(null) try { const res = await loadModel({ model_path: path, dtype, quantization: quant, device_map: deviceMap }) setStatus(res); onLoaded?.() } catch(e:any){ setError(e.message || String(e)) } finally{ setLoading(false) } } const handleUnload = async () => { try{ const s=await unloadModel(); setStatus(s)}catch(e:any){setError(e.message)} } const isLoaded = status?.status==="loaded" const isLoading = status?.status==="loading" || loading return ( محرك تحميل أوزان Safetensors حدد مسار مجلد النموذج الذي يحتوي على ملفات .safetensors و config.json و tokenizer.json {/* Path input */}
setPath(e.target.value)} placeholder="C:\models\my-model أو /home/user/models/llama" className="flex-1 font-mono text-sm"/>
{validation && (
{validation.valid ? : } {validation.reason}
{validation.details &&
عدد ملفات safetensors: {validation.details.safetensors_count} • الحجم: {validation.details.total_size_mb} MB
{validation.details.safetensors_files?.map((f:string)=>{f})}
config.json: {validation.details.has_config?"✅":"❌"} • tokenizer: {validation.details.has_tokenizer?"✅":"❌"}
}
)}
{/* Options */}

Float16 يوفر 50% VRAM

{quant==="4bit" ? "يوفر ~75% VRAM" : quant==="8bit" ? "يوفر ~50% VRAM" : "أقصى دقة"}

للأجهزة ضعيفة VRAM استخدم Balanced

{error &&
{error}
} {/* Actions */}
{isLoaded && }
{/* Status */} {status && (
حالة النموذج {status.status==="loaded" ? "محمل" : status.status==="loading" ? "جاري التحميل" : status.status==="error" ? "خطأ" : "غير محمل"}
{isLoaded && (
النوع
{status.model_type || "unknown"}
المعاملات
{status.num_parameters || "-"}
VRAM المستخدم
{status.vram_allocated_mb ? `${status.vram_allocated_mb} MB` : "-"}
زمن التحميل
{status.load_time_sec ? `${status.load_time_sec}s` : "-"}
)} {status.error &&
{status.error}
} {status.safetensors_files?.length>0 &&
الملفات: {status.safetensors_files.join(", ")}
}
)}
) }