add genai usage

README.md

@@ -28,7 +28,7 @@ The provided OpenVINO™ IR model is compatible with:
 * OpenVINO version 2024.1.0 and higher
 * Optimum Intel 1.16.0 and higher
 
-## Running Model Inference
+## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
 
 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
 
@@ -46,20 +46,46 @@ model_id = "OepnVINO/mistral-7b-instrcut-v0.1-int8-ov"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = OVModelForCausalLM.from_pretrained(model_id)
 
+inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
 
-messages = [
-    {"role": "user", "content": "What is your favourite condiment?"},
-    {"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"},
-    {"role": "user", "content": "Do you have mayonnaise recipes?"}
-]
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+print(text)
+```
+
+For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
 
-inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
+## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
 
-outputs = model.generate(inputs, max_new_tokens=20)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+1. Install packages required for using OpenVINO GenAI.
+```
+pip install openvino-genai huggingface_hub
 ```
 
-For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
+2. Download model from HuggingFace Hub
+   
+```
+import huggingface_hub as hf_hub
+
+model_id = "OpenVINO/<model_name>"
+model_path = "<model_name>"
+
+hf_hub.snapshot_download(model_id, local_dir=model_path)
+
+```
+
+3. Run model inference:
+
+```
+import openvino_genai as ov_genai
+
+device = "CPU"
+pipe = ov_genai.LLMPipeline(model_path, device)
+print(pipe.generate("What is OpenVINO?"))
+```
+
+More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
+
 
 ## Limitations