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ultralytics/engine/exporter.py

@@ -1309,9 +1309,9 @@ class Exporter:
         model = ct.models.MLModel(pipeline.spec, weights_dir=weights_dir)
         model.input_description["image"] = "Input image"
         model.input_description["iouThreshold"] = f"(optional) IoU threshold override (default: {nms.iouThreshold})"
-        model.input_description[
-            "confidenceThreshold"
-        ] = f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        model.input_description["confidenceThreshold"] = (
+            f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        )
         model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
         model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
         LOGGER.info(f"{prefix} pipeline success")