feat: fix ruff lint errors in ASR files

- Sort imports alphabetically in cli/main.py
- Replace Optional[str] with str | None in pipeline_options_asr_model.py
- Remove unused Optional import

Signed-off-by: BBC, Esquire <bbc@chintellalaw.com>

Author: BBC-Esq

docling/cli/main.py

@@ -29,37 +29,36 @@
 from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
 from docling.datamodel.asr_model_specs import (
     WHISPER_BASE,
+    WHISPER_BASE_EN_S2T,
     WHISPER_BASE_MLX,
     WHISPER_BASE_NATIVE,
+    WHISPER_BASE_S2T,
+    WHISPER_DISTIL_LARGE_V3_S2T,
+    WHISPER_DISTIL_MEDIUM_EN_S2T,
+    WHISPER_DISTIL_SMALL_EN_S2T,
     WHISPER_LARGE,
     WHISPER_LARGE_MLX,
     WHISPER_LARGE_NATIVE,
+    WHISPER_LARGE_V3_S2T,
+    WHISPER_LARGE_V3_TURBO_S2T,
     WHISPER_MEDIUM,
+    WHISPER_MEDIUM_EN_S2T,
     WHISPER_MEDIUM_MLX,
     WHISPER_MEDIUM_NATIVE,
+    WHISPER_MEDIUM_S2T,
     WHISPER_SMALL,
+    WHISPER_SMALL_EN_S2T,
     WHISPER_SMALL_MLX,
     WHISPER_SMALL_NATIVE,
+    WHISPER_SMALL_S2T,
     WHISPER_TINY,
+    WHISPER_TINY_EN_S2T,
     WHISPER_TINY_MLX,
     WHISPER_TINY_NATIVE,
+    WHISPER_TINY_S2T,
     WHISPER_TURBO,
     WHISPER_TURBO_MLX,
     WHISPER_TURBO_NATIVE,
-    # WhisperS2T models
-    WHISPER_TINY_S2T,
-    WHISPER_TINY_EN_S2T,
-    WHISPER_BASE_S2T,
-    WHISPER_BASE_EN_S2T,
-    WHISPER_SMALL_S2T,
-    WHISPER_SMALL_EN_S2T,
-    WHISPER_DISTIL_SMALL_EN_S2T,
-    WHISPER_MEDIUM_S2T,
-    WHISPER_MEDIUM_EN_S2T,
-    WHISPER_DISTIL_MEDIUM_EN_S2T,
-    WHISPER_LARGE_V3_S2T,
-    WHISPER_DISTIL_LARGE_V3_S2T,
-    WHISPER_LARGE_V3_TURBO_S2T,
     AsrModelType,
 )
 from docling.datamodel.backend_options import PdfBackendOptions

docling/datamodel/pipeline_options_asr_model.py

@@ -1,5 +1,5 @@
 from enum import Enum
-from typing import Annotated, Any, Literal, Optional, Union
+from typing import Annotated, Any, Literal, Union
 
 from pydantic import AnyUrl, BaseModel, Field
 from typing_extensions import deprecated
@@ -97,7 +97,7 @@ class InlineAsrOptions(BaseAsrOptions):
         ),
     ] = 30.0
     torch_dtype: Annotated[
-        Optional[str],
+        str | None,
         Field(
             description=(
                 "PyTorch data type for model weights. Options: `float32`, "
@@ -352,7 +352,7 @@ class InlineAsrWhisperS2TOptions(InlineAsrOptions):
         Field(description=("Number of parallel workers for CTranslate2.")),
     ] = 1
     initial_prompt: Annotated[
-        Optional[str],
+        str | None,
         Field(
             description=(
                 "Optional text prompt to condition the transcription style or "