chore: reduce excessive logging (#353)

This PR removes some info level logging that doesn't provide actionable
information.

Author: badGarnet

CHANGELOG.md

@@ -1,3 +1,7 @@
+## 0.7.34
+
+* Reduce excessive logging
+
 ## 0.7.33
 
 * BREAKING CHANGE: removes legacy detectron2 model

unstructured_inference/__version__.py

@@ -1 +1 @@
-__version__ = "0.7.33"  # pragma: no cover
+__version__ = "0.7.34"  # pragma: no cover

unstructured_inference/inference/layout.py

@@ -177,7 +177,6 @@ def get_elements_with_detection_model(
         inplace: bool = True,
     ) -> Optional[List[LayoutElement]]:
         """Uses specified model to detect the elements on the page."""
-        logger.info("Detecting page elements ...")
         if self.detection_model is None:
             model = get_model()
             if isinstance(model, UnstructuredObjectDetectionModel):

unstructured_inference/models/tables.py

@@ -84,7 +84,6 @@ def get_structure(
         """get the table structure as a dictionary contaning different types of elements as
         key-value pairs; check table-transformer documentation for more information"""
         with torch.no_grad():
-            logger.info(f"padding image by {pad_for_structure_detection} for structure detection")
             encoding = self.feature_extractor(
                 pad_image_with_background_color(x, pad_for_structure_detection),
                 return_tensors="pt",
@@ -122,7 +121,7 @@ def run_prediction(
         else:
             raise ValueError(
                 f"result_format {result_format} is not a valid format. "
-                f'Valid formats are: "html", "dataframe", "cells"'
+                f'Valid formats are: "html", "dataframe", "cells"',
             )
 
         return prediction
@@ -220,7 +219,8 @@ def outputs_to_objects(
 
 
 def apply_thresholds_on_objects(
-    objects: Sequence[Mapping[str, Any]], thresholds: Mapping[str, float]
+    objects: Sequence[Mapping[str, Any]],
+    thresholds: Mapping[str, float],
 ) -> Sequence[Mapping[str, Any]]:
     """
     Filters predicted objects which the confidence scores below the thresholds