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[DOCS] Add openvino notebooks selector app from GH Pages #22965

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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,13 @@ use the Python API and tools for optimized deep learning inference. You can run
code one section at a time to see how to integrate your application with OpenVINO
libraries.


.. raw:: html

<script type="module" crossorigin src="https://yatarkan.github.io/openvino_notebooks/assets/embedded-LTBJzmsX.js"></script>
<iframe id="notebooks-selector" src="https://yatarkan.github.io/openvino_notebooks/" style="width: 100%; border: none;" title="OpenVINO™ Notebooks - Jupyter notebook tutorials for OpenVINO™"></iframe>


Notebooks with |binder logo| and |colab logo| buttons can be run without installing anything.
Once you have found the tutorial of your interest, just click the button next to
its name and the Jupyter notebook will start it in a new tab of a browser.
Expand All @@ -47,79 +54,6 @@ its name and the Jupyter notebook will start it in a new tab of a browser.
More examples along with additional details regarding OpenVINO Notebooks are available in
OpenVINO™ Notebooks `Github Repository. <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>`__

The Jupyter notebooks are categorized into following classes:

- :doc:`First steps with OpenVINO <notebooks_section_0_get_started>`
- :doc:`Convert & Optimize <notebooks_section_1_convert__optimize>`
- :doc:`Model Demos <notebooks_section_2_model_demos>`
- :doc:`Model Training <notebooks_section_3_model_training>`
- :doc:`Live Demos <notebooks_section_4_live_demos>`


Below you will find a selection of recommended tutorials that demonstrate inference on a particular model. These tutorials are guaranteed to provide a great experience with inference in OpenVINO:


.. showcase::
:title: 284-openvoice
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/284-openvoice/284-openvoice.png

Voice tone cloning with OpenVoice and OpenVINO.

.. showcase::
:title: 283-photo-maker
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/283-photo-maker/283-photo-maker.gif

Text-to-image generation using PhotoMaker and OpenVINO.

.. showcase::
:title: 281-kosmos2-multimodal-large-language-model
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/281-kosmos2-multimodal-large-language-model/281-kosmos2-multimodal-large-language-model.png

Kosmos-2: Multimodal Large Language Model and OpenVINO.

.. showcase::
:title: 280-depth-anything
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/280-depth-anything/280-depth-anything.gif

Depth estimation with DepthAnything and OpenVINO.

.. showcase::
:title: 279-mobilevlm-language-assistant
:img: _static/images/notebook_eye.png

Mobile language assistant with MobileVLM and OpenVINO.

.. showcase::
:title: 278-stable-diffusion-ip-adapter
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/278-stable-diffusion-ip-adapter/278-stable-diffusion-ip-adapter.png

Image Generation with Stable Diffusion and IP-Adapter.

.. showcase::
:title: 275-llm-question-answering
:img: _static/images/notebook_eye.png

LLM Instruction-following pipeline with OpenVINO.

.. showcase::
:title: 274-efficient-sam
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/274-efficient-sam/274-efficient-sam.png

Object segmentations with EfficientSAM and OpenVINO.

.. showcase::
:title: 273-stable-zephyr-3b-chatbot
:img: _static/images/notebook_eye.png

LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO.


.. showcase::
:title: 272-paint-by-example
:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/272-paint-by-example/272-paint-by-example.png

Paint by Example using Stable Diffusion and OpenVINO.


.. note::
If there are any issues while running the notebooks, refer to the **Troubleshooting** and **FAQ** sections in the :doc:`Installation Guide <notebooks_installation>` or start a GitHub
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