revert workflow UI change for now

Author: leeclemnet

inference/core/workflows/core_steps/models/roboflow/instance_segmentation/v2.py

@@ -85,16 +85,12 @@ class BlockManifest(WorkflowBlockManifest):
     images: Selector(kind=[IMAGE_KIND]) = ImageInputField
     model_id: Union[Selector(kind=[ROBOFLOW_MODEL_ID_KIND]), str] = RoboflowModelField
     confidence: Union[
-        Optional[FloatZeroToOne],
+        FloatZeroToOne,
         Selector(kind=[FLOAT_ZERO_TO_ONE_KIND]),
     ] = Field(
-        default=None,
-        description=(
-            "Confidence threshold for predictions. If omitted, the inference "
-            "server uses the model's F1-optimal threshold from model evaluation "
-            "when available, otherwise falls back to the model's default."
-        ),
-        examples=[0.4, "$inputs.confidence_threshold"],
+        default=0.4,
+        description="Confidence threshold for predictions.",
+        examples=[0.3, "$inputs.confidence_threshold"],
     )
     class_filter: Union[Optional[List[str]], Selector(kind=[LIST_OF_VALUES_KIND])] = (
         Field(

inference/core/workflows/core_steps/models/roboflow/keypoint_detection/v2.py

@@ -84,16 +84,12 @@ class BlockManifest(WorkflowBlockManifest):
     images: Selector(kind=[IMAGE_KIND]) = ImageInputField
     model_id: Union[Selector(kind=[ROBOFLOW_MODEL_ID_KIND]), str] = RoboflowModelField
     confidence: Union[
-        Optional[FloatZeroToOne],
+        FloatZeroToOne,
         Selector(kind=[FLOAT_ZERO_TO_ONE_KIND]),
     ] = Field(
-        default=None,
-        description=(
-            "Confidence threshold for predictions. If omitted, the inference "
-            "server uses the model's F1-optimal threshold from model evaluation "
-            "when available, otherwise falls back to the model's default."
-        ),
-        examples=[0.4, "$inputs.confidence_threshold"],
+        default=0.4,
+        description="Confidence threshold for predictions.",
+        examples=[0.3, "$inputs.confidence_threshold"],
     )
     keypoint_confidence: Union[
         FloatZeroToOne,

inference/core/workflows/core_steps/models/roboflow/multi_class_classification/v2.py

@@ -78,16 +78,12 @@ class BlockManifest(WorkflowBlockManifest):
     images: Selector(kind=[IMAGE_KIND]) = ImageInputField
     model_id: Union[Selector(kind=[ROBOFLOW_MODEL_ID_KIND]), str] = RoboflowModelField
     confidence: Union[
-        Optional[FloatZeroToOne],
+        FloatZeroToOne,
         Selector(kind=[FLOAT_ZERO_TO_ONE_KIND]),
     ] = Field(
-        default=None,
-        description=(
-            "Confidence threshold for predictions. If omitted, the inference "
-            "server uses the model's F1-optimal threshold from model evaluation "
-            "when available, otherwise falls back to 0.5."
-        ),
-        examples=[0.5, "$inputs.confidence_threshold"],
+        default=0.4,
+        description="Confidence threshold for predictions.",
+        examples=[0.3, "$inputs.confidence_threshold"],
     )
     disable_active_learning: Union[bool, Selector(kind=[BOOLEAN_KIND])] = Field(
         default=True,

inference/core/workflows/core_steps/models/roboflow/multi_label_classification/v2.py

@@ -77,16 +77,12 @@ class BlockManifest(WorkflowBlockManifest):
     images: Selector(kind=[IMAGE_KIND]) = ImageInputField
     model_id: Union[Selector(kind=[ROBOFLOW_MODEL_ID_KIND]), str] = RoboflowModelField
     confidence: Union[
-        Optional[FloatZeroToOne],
+        FloatZeroToOne,
         Selector(kind=[FLOAT_ZERO_TO_ONE_KIND]),
     ] = Field(
-        default=None,
-        description=(
-            "Confidence threshold for predictions. If omitted, the inference "
-            "server uses the model's F1-optimal threshold from model evaluation "
-            "when available, otherwise falls back to 0.5."
-        ),
-        examples=[0.5, "$inputs.confidence_threshold"],
+        default=0.4,
+        description="Confidence threshold for predictions.",
+        examples=[0.3, "$inputs.confidence_threshold"],
     )
     disable_active_learning: Union[bool, Selector(kind=[BOOLEAN_KIND])] = Field(
         default=True,

inference/core/workflows/core_steps/models/roboflow/object_detection/v2.py

@@ -82,16 +82,12 @@ class BlockManifest(WorkflowBlockManifest):
     images: Selector(kind=[IMAGE_KIND]) = ImageInputField
     model_id: Union[Selector(kind=[ROBOFLOW_MODEL_ID_KIND]), str] = RoboflowModelField
     confidence: Union[
-        Optional[FloatZeroToOne],
+        FloatZeroToOne,
         Selector(kind=[FLOAT_ZERO_TO_ONE_KIND]),
     ] = Field(
-        default=None,
-        description=(
-            "Confidence threshold for predictions. If omitted, the inference "
-            "server uses the model's F1-optimal threshold from model evaluation "
-            "when available, otherwise falls back to the model's default."
-        ),
-        examples=[0.4, "$inputs.confidence_threshold"],
+        default=0.4,
+        description="Confidence threshold for predictions.",
+        examples=[0.3, "$inputs.confidence_threshold"],
     )
     class_filter: Union[Optional[List[str]], Selector(kind=[LIST_OF_VALUES_KIND])] = (
         Field(