Add uvloop

Dockerfile

@@ -14,4 +14,4 @@ RUN pip install torch --index-url https://download.pytorch.org/whl/cpu
 
 EXPOSE 8002
 
-CMD ["gunicorn", "app.main:app", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8002", "--workers", "4", "--loop", "uvloop"]
+CMD ["gunicorn", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8002", "--workers", "4"]

app/main.py

@@ -7,6 +7,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from app.api import routes
 from app.core.config import settings
 from app.core.cache import cache
+import uvicorn
 
 # Настройка логирования
 logging.basicConfig(level=logging.INFO)
@@ -46,3 +47,12 @@ async def global_exception_handler(request: Request, exc: Exception):
         status_code=500,
         content={"detail": "Внутренняя ошибка сервера."},
     )
+
+
+if __name__ == "__main__":
+    uvicorn.run(
+        "app.main:app",
+        host="0.0.0.0",
+        port=8082,
+        loop="uvloop"
+    )

app/requirements.txt

@@ -1,5 +1,6 @@
 fastapi
 uvicorn[standard]
+uvloop
 transformers
 gunicorn
 redis>=4.0