From fb9a235cdc846c7c608735a4ad84f54018f019ad Mon Sep 17 00:00:00 2001 From: Aniket Maurya Date: Fri, 1 Mar 2024 17:18:33 +0000 Subject: [PATCH] add note --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7c617b2..6377d6e 100644 --- a/README.md +++ b/README.md @@ -154,7 +154,7 @@ docker-compose up --build This will build the Docker image and start your FastServe application in a container, making it accessible on the specified port. -Note: We provide an example using face recognition. If you need to use other models, you will likely need to change the requirements.txt or the Dockerfile. Don't worry; this example is intended to serve as a quick start. Feel free to modify it as needed. +> **Note:** We provide an example using face recognition. If you need to use other models, you will likely need to change the requirements.txt or the Dockerfile. Don't worry; this example is intended to serve as a quick start. Feel free to modify it as needed. ## Passing Arguments to Uvicorn in `run_server()` FastServe leverages Uvicorn, a lightning-fast ASGI server, to serve machine learning models, making FastServe highly efficient and scalable.