Fix pre-commit

.markdownlint.yaml

@@ -18,9 +18,15 @@ MD013: false
 # This is not useful for some files such as `CHANGELOG.md`
 MD024: false # Multiple headers with the same content
 
+# no-blanks-blockquote Blank line inside blockquote
+MD028: false
+
 # blanks-around-fences - Fenced code blocks should be surrounded by blank lines
 MD031: false
 
+# blanks-around-lists Lists should be surrounded by blank lines
+MD032: false
+
 # I find it necessary to use '<br/>' to force line breaks.
 MD033: false # Inline HTML
 

README.md

@@ -38,9 +38,11 @@ import openvino_xai as xai
 
 explainer = xai.Explainer(model=ov_model, task=xai.Task.CLASSIFICATION)
 
+# Existing inference pipeline
 for i, image in enumerate(images):
     labels = infer(model=ov_model, image=image)
 
+    # Model analysis
     explanation = explainer(data=image, targets=labels)
     explanation.save(dir_path="./xai", name=str(i))
 ```
@@ -83,8 +85,8 @@ Please refer to the following known issues for unsupported models and reasons.
 * [Models not supported by white box XAI methods (#30)](https://github.com/openvinotoolkit/openvino_xai/issues/30)
 
 > **_WARNING:_**  OpenVINO XAI is fully validated on OpenVINO 2024.2.0. Following issue might be observed if used with older versions of OpenVINO.
-  [OpenVINO IR branch insertion not working for models converted directly from torch models with OVC (#26)](https://github.com/openvinotoolkit/openvino_xai/issues/26)
-  A simple workaround is to convert Torch models to ONNX models and then convert to OpenVINO models to feed to OpenVINO XAI. Please refer to [the code example](openvino_xai/utils/model_export.py).
+> * [OpenVINO IR branch insertion not working for models converted directly from torch models with OVC (#26)](https://github.com/openvinotoolkit/openvino_xai/issues/26)
+> A simple workaround is to convert Torch models to ONNX models and then convert to OpenVINO models to feed to OpenVINO XAI. Please refer to [the code example](openvino_xai/utils/model_export.py).
 
 > **_NOTE:_**  GenAI / LLMs would be also supported incrementally in the upcoming releases.