Fix Starlette 1.0 compatibility in mlflow/pyfunc/scoring_server/__init__.py (mlflow#21908)

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
(cherry picked from commit cd2cea0)

Author: 2 people

mlflow/pyfunc/scoring_server/__init__.py

@@ -508,9 +508,7 @@ async def timeout_middleware(request: Request, call_next):
                 media_type="application/json",
             )
 
-    @app.route("/ping", methods=["GET"])
-    @app.route("/health", methods=["GET"])
-    async def ping(request: Request):
+    async def ping():
         """
         Determine if the container is working and healthy.
         We declare it healthy if we can load the model successfully.
@@ -519,14 +517,17 @@ async def ping(request: Request):
         status = 200 if health else 404
         return Response(content="\n", status_code=status, media_type="application/json")
 
-    @app.route("/version", methods=["GET"])
-    async def version(request: Request):
+    app.get("/ping")(ping)
+    app.get("/health")(ping)
+
+    @app.get("/version")
+    async def version():
         """
         Returns the current mlflow version.
         """
         return Response(content=VERSION, status_code=200, media_type="application/json")
 
-    @app.route("/invocations", methods=["POST"])
+    @app.post("/invocations")
     @_async_catch_mlflow_exception
     async def transformation(request: Request):
         """