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[DOCS] Update Interactive Tutorials with the selector tool #23088

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[DOCS] Update Interactive Tutorials with the selector tool #23088

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Update Interactive Tutorials with selector tool
sgolebiewski-intel Feb 22, 2024
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Update docs/articles_en/learn-openvino/interactive-tutorials-python.rst
sgolebiewski-intel Feb 26, 2024
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124 changes: 19 additions & 105 deletions docs/articles_en/learn-openvino/interactive-tutorials-python.rst
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Expand Up @@ -3,12 +3,11 @@
Interactive Tutorials (Python)
==============================


.. _notebook tutorials:

.. meta::
:description: Run Python tutorials on Jupyter notebooks to learn how to use OpenVINO™ toolkit for optimized
deep learning inference.
:description: Run Python tutorials on Jupyter notebooks to learn how to use OpenVINO™
toolkit for optimized deep learning inference.


.. toctree::
Expand All @@ -17,112 +16,27 @@ Interactive Tutorials (Python)
:hidden:

notebooks_installation
notebooks_section_0_get_started
notebooks_section_1_convert__optimize
notebooks_section_2_model_demos
notebooks_section_3_model_training
notebooks_section_4_live_demos



This collection of Python tutorials are written for running on Jupyter notebooks.
The tutorials provide an introduction to the OpenVINO™ toolkit and explain how to
use the Python API and tools for optimized deep learning inference. You can run the
code one section at a time to see how to integrate your application with OpenVINO
libraries.

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.

.. note::

`Binder <https://mybinder.org/>`__ and `Google Colab <https://colab.research.google.com/>`__
are free online services with limited resources. For the best performance
and more control, you should run the notebooks locally. Follow the
:doc:`Installation Guide <notebooks_installation>` in order to get information
on how to run and manage the notebooks on your machine.


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
Jupyter notebooks show how to use various OpenVINO features to run optimized deep learning
inference with Python. Notebooks with |binder logo| and |colab logo| buttons can be run in the
browser, no installation required. Just choose a tutorial and click the button.

Text-to-image generation using PhotoMaker and OpenVINO.
`Binder <https://mybinder.org/>`__ and `Google Colab <https://colab.research.google.com/>`__
are free online services with limited resources. For the best performance
and more control, you should run the notebooks locally. Follow the
:doc:`Installation Guide <notebooks_installation>` in order to get information
on how to run and manage the notebooks on your system.

.. 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
.. raw:: html

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


.. 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
If you have any issues with the notebooks, refer to the **Troubleshooting** and **FAQ**
sections in the :doc:`Installation Guide <notebooks_installation>` or start a GitHub
`discussion <https://github.com/openvinotoolkit/openvino_notebooks/discussions>`__.


Expand All @@ -134,10 +48,10 @@ Additional Resources
* `Google Colab <https://colab.research.google.com/>`__


.. |binder logo| image:: https://mybinder.org/badge_logo.svg
.. |binder logo| image:: _static/images/launch_in_binder.svg
:class: notebook-badge-p
:alt: Binder button
.. |colab logo| image:: https://colab.research.google.com/assets/colab-badge.svg
:width: 109
.. |colab logo| image:: _static/images/open_in_colab.svg
:class: notebook-badge-p
:alt: Google Colab button


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