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ultralytics/solutions/serve.py

@@ -14,6 +14,7 @@ from ultralytics.engine.results import Results
 class UltralyticsRequest(BaseModel):
     image: str
 
+
 class UltralyticsResponse(BaseModel):
     status: str = "success"
     results: List[List[Dict]]
@@ -24,7 +25,7 @@ class YOLOServe(ls.LitAPI):
         """
         Litserve API for YOLO model:
         Call order is:
-            setup -> batch -> decode_request -> predict -> unbatch -> encode_response
+            setup -> batch -> decode_request -> predict -> unbatch -> encode_response.
 
         Args:
             model (str): Model name to use
@@ -56,8 +57,6 @@ class YOLOServe(ls.LitAPI):
         return UltralyticsResponse(results=[r.to_dict() for r in result])
 
 
-
-
 def run(args):
     if "model" in args:
         model = args["model"]