🎨 run precommit (oops)

Signed-off-by: Joe Runde <Joseph.Runde@ibm.com>

src/vllm_tgis_adapter/__main__.py

@@ -54,7 +54,7 @@
 
 try:
     from vllm.entrypoints.openai.serving_tokenization import (
-        OpenAIServingTokenization,  # noqa: TCH002
+        OpenAIServingTokenization,
     )
 except ImportError:  #  vllm<=0.5.2
     has_tokenization = False
@@ -97,7 +97,7 @@ async def health() -> Response:
 
     @router.post("/tokenize")
     async def tokenize(request: TokenizeRequest) -> JSONResponse:
-        generator = await openai_serving_tokenization.create_tokenize(request)  # noqa: F821
+        generator = await openai_serving_tokenization.create_tokenize(request)
         if isinstance(generator, ErrorResponse):
             return JSONResponse(
                 content=generator.model_dump(),
@@ -108,7 +108,7 @@ async def tokenize(request: TokenizeRequest) -> JSONResponse:
 
     @router.post("/detokenize")
     async def detokenize(request: DetokenizeRequest) -> JSONResponse:
-        generator = await openai_serving_tokenization.create_detokenize(request)  # noqa: F821
+        generator = await openai_serving_tokenization.create_detokenize(request)
         if isinstance(generator, ErrorResponse):
             return JSONResponse(
                 content=generator.model_dump(),

src/vllm_tgis_adapter/grpc/grpc_server.py

@@ -344,9 +344,7 @@ async def GenerateStream(
             context,
         )
 
-        inputs = LLMInputs(
-            prompt=request.request.text, prompt_token_ids=input_ids
-        )
+        inputs = LLMInputs(prompt=request.request.text, prompt_token_ids=input_ids)
 
         result_generator = self.engine.generate(
             # prompt is supplied for observability, the text is not