remove list of demos, remove statement in documentation

ci/check-documentation.py

@@ -78,7 +78,6 @@ def complain(message):
     omz_github_url = 'https://github.com/openvinotoolkit/open_model_zoo/'
 
     for md_path in sorted(all_md_files):
-
         referenced_md_files = set()
 
         md_path_rel = md_path.relative_to(OMZ_ROOT)

demos/README.md

@@ -278,18 +278,6 @@ cmake -A x64 <open_model_zoo>/demos
 
 To run Python demo applications, you need to install the Python* Model API package. Refer to [Python* Model API documentation](common/python/openvino/model_zoo/model_api/README.md#installing-python*-model-api-package) to learn about its installation.
 
-The list of Open Model Zoo demos with Model API support:
-- [BERT Named Entity Recognition Python* Demo](./bert_named_entity_recognition_demo/python/README.md)
-- [BERT Question Answering Python* Demo](./bert_question_answering_demo/python/README.md)
-- [BERT Question Answering Embedding Python* Demo](./bert_question_answering_embedding_demo/python/README.md)
-- [Classification Python* Demo](./classification_demo/python/README.md)
-- [Image Deblurring Python* Demo](./deblurring_demo/python/README.md)
-- [Human Pose Estimation Python* Demo](./human_pose_estimation_demo/python/README.md)
-- [Instance Segmentation Python* Demo](./instance_segmentation_demo/python/README.md)
-- [MonoDepth Python* Demo](./monodepth_demo/python/README.md)
-- [Object Detection Python* Demo](./object_detection_demo/python/README.md)
-- [Image Segmentation Python* Demo](./segmentation_demo/python/README.md)
-
 ### <a name="build_python_extensions"></a>Build the Native Python\* Extension Modules
 
 Some of the Python demo applications require native Python extension modules to be built before they can be run.

demos/common/python/openvino/model_zoo/model_api/README.md

@@ -55,8 +55,6 @@ python -c "from openvino.model_zoo import model_api"
 
 The Python* Model API package provides model wrappers, which implement standardized preprocessing/postprocessing functions per "task type" and incapsulate model-specific logic for usage of different models in a unified manner inside the application.
 
-The wrapper interface is simple and flexible, which gives capabilities for the creation of custom wrappers covering different architectures and use cases.
-
 The following tasks can be solved with wrappers usage:
 
 | Task type                  | Model API wrappers |