Create main.py
Browse files
main.py
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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from pydantic import BaseModel
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from huggingface_hub import hf_hub_download
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from llama_cpp import Llama
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app = FastAPI()
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# 1. تحميل النموذج من المستودع المحدد
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model_path = hf_hub_download(
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repo_id="Arabic250/gemma-4-gguf-export",
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filename="gemma-4-e4b.gguf"
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)
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# 2. تهيئة النموذج للعمل على CPU فقط
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llm = Llama(
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model_path=model_path,
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n_ctx=2048,
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n_threads=4, # مناسب لموارد Hugging Face المجانية
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n_gpu_layers=0 # تعطيل طبقات معالج الرسوميات (CPU Only)
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)
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class ChatRequest(BaseModel):
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message: str
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# 3. واجهة React الأمامية مدمجة كـ HTML
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HTML_CONTENT = """
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<!DOCTYPE html>
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<html lang="ar" dir="rtl">
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<head>
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<meta charset="UTF-8">
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<title>Gemma 4 Chat</title>
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<script src="https://unpkg.com/react@18/umd/react.production.min.js"></script>
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<script src="https://unpkg.com/react-dom@18/umd/react-dom.production.min.js"></script>
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<script src="https://unpkg.com/babel-standalone@6/babel.min.js"></script>
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<script src="https://cdn.tailwindcss.com"></script>
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</head>
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<body class="bg-gray-100 p-4 font-sans">
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<div id="root"></div>
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<script type="text/babel">
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function App() {
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const [messages, setMessages] = React.useState([]);
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const [input, setInput] = React.useState("");
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const [loading, setLoading] = React.useState(false);
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const sendMessage = async () => {
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if (!input.trim()) return;
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const newMessages = [...messages, { role: 'user', text: input }];
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setMessages(newMessages);
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setInput("");
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setLoading(true);
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try {
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const res = await fetch("/chat", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ message: input })
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});
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const data = await res.json();
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setMessages([...newMessages, { role: 'model', text: data.response }]);
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} catch (error) {
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console.error(error);
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}
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setLoading(false);
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};
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return (
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<div className="max-w-3xl mx-auto bg-white p-6 rounded-lg shadow-lg mt-10 border-t-4 border-blue-500">
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<h1 className="text-2xl font-bold mb-6 text-center text-gray-800">محادثة Gemma 4 (React)</h1>
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<div className="h-[28rem] overflow-y-auto mb-4 p-4 border rounded bg-gray-50 flex flex-col gap-3">
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{messages.map((msg, idx) => (
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<div key={idx} className={`p-3 rounded-lg w-fit max-w-[80%] ${msg.role === 'user' ? 'bg-blue-100 self-start' : 'bg-green-100 self-end'}`}>
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<strong className="block mb-1 text-xs text-gray-500">{msg.role === 'user' ? 'أنت' : 'النموذج'}</strong>
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<span className="text-gray-800">{msg.text}</span>
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</div>
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))}
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{loading && <div className="text-gray-500 text-sm animate-pulse self-end">النموذج يقوم بالمعالجة الآن...</div>}
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</div>
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<div className="flex gap-2">
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<input
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type="text"
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value={input}
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onChange={(e) => setInput(e.target.value)}
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onKeyPress={(e) => e.key === 'Enter' && sendMessage()}
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className="flex-1 p-3 border rounded focus:outline-none focus:ring-2 focus:ring-blue-400"
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placeholder="اكتب استفسارك هنا..."
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/>
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<button onClick={sendMessage} disabled={loading} className="bg-blue-600 text-white px-6 py-2 rounded hover:bg-blue-700 disabled:opacity-50 transition-colors font-semibold">
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إرسال
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</button>
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</div>
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</div>
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);
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}
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const root = ReactDOM.createRoot(document.getElementById('root'));
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root.render(<App />);
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</script>
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</body>
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</html>
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"""
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@app.get("/")
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def read_root():
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return HTMLResponse(content=HTML_CONTENT)
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@app.post("/chat")
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def chat(request: ChatRequest):
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# بناء سياق Gemma بالشكل الصحيح
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prompt = f"<start_of_turn>user\n{request.message}<end_of_turn>\n<start_of_turn>model\n"
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response = llm(
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prompt,
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max_tokens=512,
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stop=["<end_of_turn>"]
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)
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return {"response": response['choices'][0]['text'].strip()}
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