from fastapi import FastAPI, Request, BackgroundTasks from fastapi.responses import HTMLResponse, StreamingResponse from fastapi.staticfiles import StaticFiles from modules.pmbl import PMBL import torch import asyncio print(f"CUDA available: {torch.cuda.is_available()}") print(f"CUDA device count: {torch.cuda.device_count()}") if torch.cuda.is_available(): print(f"CUDA device name: {torch.cuda.get_device_name(0)}") app = FastAPI(docs_url=None, redoc_url=None) app.mount("/static", StaticFiles(directory="static"), name="static") app.mount("/templates", StaticFiles(directory="templates"), name="templates") pmbl = PMBL("./PMB-7b.Q6_K.gguf", gpu_layers=50) request_queue = asyncio.Queue() processing_lock = asyncio.Lock() @app.head("/") @app.get("/") def index() -> HTMLResponse: with open("templates/index.html") as f: return HTMLResponse(content=f.read()) async def process_request(user_input: str, mode: str): async with processing_lock: history = pmbl.get_chat_history(mode, user_input) async for chunk in pmbl.generate_response(user_input, history, mode): yield chunk @app.post("/chat") async def chat(request: Request, background_tasks: BackgroundTasks): try: data = await request.json() user_input = data["user_input"] mode = data["mode"] async def response_generator(): await request_queue.put((user_input, mode)) async for chunk in await process_request(user_input, mode): yield chunk return StreamingResponse(response_generator(), media_type="text/plain") except Exception as e: print(f"[SYSTEM] Error: {str(e)}") return {"error": str(e)} async def queue_worker(): while True: user_input, mode = await request_queue.get() async for _ in process_request(user_input, mode): pass request_queue.task_done() @app.on_event("startup") async def startup_event(): asyncio.create_task(queue_worker()) @app.post("/sleep") async def sleep(): try: pmbl.sleep_mode() return {"message": "Sleep mode completed successfully"} except Exception as e: print(f"[SYSTEM] Error: {str(e)}") return {"error": str(e)}