File size: 2,133 Bytes
6f9f476 096876c 6f9f476 096876c 6f9f476 096876c 6f9f476 096876c 6f9f476 | 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 | import os, json, asyncio
from fastapi import FastAPI, Request, HTTPException
from fastapi.responses import StreamingResponse
from fastapi.middleware.cors import CORSMiddleware
from huggingface_hub import hf_hub_download
from llama_cpp import Llama
from prompts import build_system_prompt
from search_engine import search_web
app = FastAPI()
app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
MODEL_REPO = "bartowski/Qwen_Qwen3.6-35B-A3B-GGUF"
MODEL_FILE = "Qwen_Qwen3.6-35B-A3B-IQ3_M.gguf"
llm = None
def load_model():
global llm
if llm is None:
print("⬇️ جاري تحميل النموذج...")
model_path = hf_hub_download(repo_id=MODEL_REPO, filename=MODEL_FILE)
llm = Llama(
model_path=model_path,
n_ctx=1536,
n_threads=4,
n_gpu_layers=0,
use_mmap=True,
verbose=False
)
print("✅ تم تحميل النموذج بنجاح.")
@app.on_event("startup")
def startup():
load_model()
async def generate_stream(messages: list, mode: str):
system_prompt = build_system_prompt(mode)
user_msg = messages[-1]['content']
prompt = f"<|system|>\n{system_prompt}\n<|user|>\n{user_msg}\n<|assistant|>\n"
if mode == "search":
search_res = search_web(user_msg)
prompt = f"<|system|>\n{system_prompt}\n<|user|>\n{user_msg}\n[SEARCH RESULTS]\n{search_res}\n<|assistant|>\n"
for token in llm(prompt, max_tokens=1200, stop=["<|user|>", "<|end|>"], stream=True, temperature=0.7):
yield json.dumps({"token": token["choices"][0]["text"]}) + "\n"
await asyncio.sleep(0.01)
@app.post("/v1/chat/completions")
async def chat_completions(request: Request):
data = await request.json()
messages = data.get("messages", [])
mode = data.get("mode", "chat")
if not messages:
raise HTTPException(400, "No messages provided")
return StreamingResponse(generate_stream(messages, mode), media_type="application/json")
@app.get("/health")
def health():
return {"status": "ok", "model": MODEL_FILE} |