OMZ models instead of architectures, OV supported Python instead cert…

…ain versions

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

@@ -7,13 +7,13 @@ An application feeds model class with input data, then the model returns postpro
 
 The Python* Model API consists of 3 libraries:
 * _adapters_ implements a common interface to allow Model API wrappers usage with different executors: OpenVINO, OVMS. See [Model API adapters](#model-api-adapters) section
-* _models_ implements wrappers for each architecture. See [Model API Wrappers](#model-api-wrappers) section
+* _models_ implements wrappers for Open Model Zoo models. See [Model API Wrappers](#model-api-wrappers) section
 * _pipelines_ implements pipelines for model inference and manage the synchronous/asynchronous execution. See [Model API Pipelines](#model-api-pipelines) section
 
 ### Prerequisites
 
 The package requires
-- Python (version 3.6 or higher)
+- one of OpenVINO supported Python version (see OpenVINO documentation for the details)
 - OpenVINO™ toolkit
 
 If you build Python* Model API package from source, you should install the OpenVINO™ toolkit. See the options:
@@ -66,7 +66,7 @@ The following tasks can be solved with wrappers usage:
 | Instance Segmentation      | <ul><li>`MaskRCNNModel`</li><li>`YolactModel`</li></ul> |
 | Monocular Depth Estimation | <ul><li> `MonoDepthModel`</li></ul> |
 | Named Entity Recognition   | <ul><li>`BertNamedEntityRecognition`</li></ul> |
-|  Object Detection          | <ul><li>`CenterNet`</li><li>`DETR`</li><li>`CTPN`</li><li>`FaceBoxes`</li><li>`RetinaFace`</li><li>`RetinaFacePyTorch`</li><li>`SSD`</li><li>`UltraLightweightFaceDetection`</li><li>`YOLO`</li><li>`YoloV3ONNX`</li><li>`YoloV4`</li><li>`YOLOF`</li><li>`YOLOX`</li></ul> |
+| Object Detection           | <ul><li>`CenterNet`</li><li>`DETR`</li><li>`CTPN`</li><li>`FaceBoxes`</li><li>`RetinaFace`</li><li>`RetinaFacePyTorch`</li><li>`SSD`</li><li>`UltraLightweightFaceDetection`</li><li>`YOLO`</li><li>`YoloV3ONNX`</li><li>`YoloV4`</li><li>`YOLOF`</li><li>`YOLOX`</li></ul> |
 | Question Answering         |  <ul><li>`BertQuestionAnswering`</li></ul> |
 | Salient Object Detection   |  <ul><li>`SalientObjectDetectionModel`</li></ul> |
 | Semantic Segmentation      |  <ul><li>`SegmentationModel`</li></ul> |
@@ -88,7 +88,7 @@ It accepts a path to either `xml` model file or `onnx` model file.
 
 Refer to __[`OVMSAdapter`](adapters/ovms_adapter.md)__ to learn about running demos with OVMS.
 
-For OpenVINO Model Server Adapter employment, you need to install the package with extra module:
+For using OpenVINO Model Server Adapter you need to install the package with extra module:
 ```sh
 pip install <omz_dir>/demos/common/python[ovms]
 ```