Merge branch 'main' into yt/notebooks-selector

.ci/ignore_treon_docker.txt

@@ -2,6 +2,7 @@
 108-gpu-device
 117-model-server
 122-quantizing-model-with-accuracy-control
+127-big-transfer-quantization
 204-segmenter-semantic-segmentation
 216-attention-center
 220-cross-lingual-books-alignment

.ci/ignore_treon_linux.txt

@@ -3,6 +3,7 @@
 112-pytorch-post-training-quantization-nncf
 117-model-server
 122-quantizing-model-with-accuracy-control
+127-big-transfer-quantization
 204-segmenter-semantic-segmentation
 214-grammar-correction
 216-attention-center

.ci/ignore_treon_mac.txt

@@ -2,6 +2,7 @@
 108-gpu-device
 117-model-server
 122-quantizing-model-with-accuracy-control
+127-big-transfer-quantization
 204-segmenter-semantic-segmentation
 216-attention-center
 220-cross-lingual-books-alignment
@@ -47,4 +48,5 @@
 281-kosmos2-multimodal-large-language-model
 279-mobilevlm-language-assistant
 283-photo-maker
+284-openvoice
 404-style-transfer-webcam

.ci/ignore_treon_win.txt

@@ -2,6 +2,7 @@
 108-gpu-device
 117-model-server
 122-quantizing-model-with-accuracy-control
+127-big-transfer-quantization
 204-segmenter-semantic-segmentation
 216-attention-center
 220-cross-lingual-books-alignment

.ci/spellcheck/.pyspelling.wordlist.txt

@@ -781,4 +781,11 @@ ZavyChromaXL
 Zongyuan
 ZeroScope
 zeroscope
-xformers
+xformers
+OpenVoice
+BaseSpeakerTTS
+ToneColorConverter
+nn
+lang
+OpenVoiceBaseClass
+processings

README.md

@@ -31,7 +31,7 @@ Check out the latest notebooks that show how to optimize and deploy popular mode
 | [Tiny SD](notebooks/251-tiny-sd-image-generation/)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/251-tiny-sd-image-generation/251-tiny-sd-image-generation.ipynb) | Image Generation with Tiny-SD and OpenVINO™ | <img src="https://user-images.githubusercontent.com/29454499/260904650-274fc2f9-24d2-46a3-ac3d-d660ec3c9a19.png" width=300> | |
 | [ZeroScope Text-to-video synthesis](notebooks/253-zeroscope-text2video)<br> | Text-to-video synthesis with ZeroScope and OpenVINO™ | A panda eating bamboo on a rock <img src="https://github.com/itrushkin/openvino_notebooks/assets/76161256/500956d5-4aac-4710-a77c-4df34bcda3be" width=300> |
 | [LLM chatbot](notebooks/254-llm-chatbot)<br> | Create LLM-powered Chatbot using OpenVINO™ |  <img src=https://user-images.githubusercontent.com/29454499/255799218-611e7189-8979-4ef5-8a80-5a75e0136b50.png width=600> |
-| [QA over Document](notebooks/254-llm-chatbot)<br> | Create LLM-powered RAG system using OpenVINO™ and LangChain |  <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/91237924/b4482fa1-8d1b-40ce-aece-8fd7102ad7be width=600> |
+| [QA over Document](notebooks/254-llm-chatbot)<br> | Create LLM-powered RAG system using OpenVINO™ and LangChain |  <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/616dd14f-9cdd-4842-a8be-e0e69eb80de8 width=600> |
 | [Bark Text-to-Speech](notebooks/256-bark-text-to-audio/)<br> | Text-to-Speech generation using Bark and OpenVINO™ | <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/9a770279-0045-480e-95f2-1a2f2d0a5115 width=300>
 | [LLaVA Multimodal Chatbot](notebooks/257-llava-multimodal-chatbot/)<br> | Visual-language assistant with LLaVA and OpenVINO™ | <img src=https://raw.githubusercontent.com/haotian-liu/LLaVA/main/images/llava_logo.png width=300>
 | [BLIP-Diffusion - Subject-Driven Generation](notebooks/258-blip-diffusion-subject-generation)<br> | Subject-driven image generation and editing using BLIP Diffusion and OpenVINO™ | <img src="https://github.com/itrushkin/openvino_notebooks/assets/76161256/0ecf621f-b544-44ae-8258-8a49be704989" width=300 />
@@ -55,6 +55,7 @@ Check out the latest notebooks that show how to optimize and deploy popular mode
 | [DepthAnything](notebooks/280-depth-anything)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F280-depth-anythingh%2F280-depth-anything.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/280-depth-anything/280-depth-anything.ipynb) | Monocular Depth estimation with DepthAnything and OpenVINO | <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/a9a16658-512f-470c-a33c-0e1f9d0ae72c width=300> |
 | [Kosmos-2: Grounding Multimodal Large Language Models](notebooks/281-kosmos2-multimodal-large-language-model)<br> | Kosmos-2: Grounding Multimodal Large Language Model and OpenVINO™ | <img src=https://huggingface.co/microsoft/kosmos-2-patch14-224/resolve/main/annotated_snowman.jpg width=225> |
 | [PhotoMaker](notebooks/283-photo-maker)<br> | Text-to-image generation using PhotoMaker and OpenVINO | <img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/91237924/88bccc4a-5789-42ca-8a68-f402c3e7c5a4 width=300> |
+| [OpenVoice](notebooks/284-openvoice)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F284-openvoice%2F284-openvoice.ipynb)[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/284-openvoice/284-openvoice.ipynb) | OpenVoice a versatile instant voice tone transferring and generating speech in various languages. |<img src=https://github.com/openvinotoolkit/openvino_notebooks/assets/5703039/ca7eab80-148d-45b0-84e8-a5a279846b51 width=300> |
 
 ## Table of Contents
 
@@ -169,7 +170,6 @@ Demos that demonstrate inference on a particular model.
 | [214-grammar-correction](notebooks/214-grammar-correction/) | Grammatical Error Correction with OpenVINO | **Input text**: `I'm working in campany for last 2 yeas.` <br> **Generated text**: `I'm working in a company for the last 2 years.` |
 | [215-image-inpainting](notebooks/215-image-inpainting/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F215-image-inpainting%2F215-image-inpainting.ipynb)| Fill missing pixels with image in-painting | <img src="https://user-images.githubusercontent.com/4547501/167121084-ec58fbdb-b269-4de2-9d4c-253c5b95de1e.png" width=225> |
 | [216-attention-center](notebooks/216-attention-center/)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/216-attention-center/216-attention-center.ipynb) | The attention center model with OpenVINO™ |  |
-| [217-vision-deblur](notebooks/217-vision-deblur/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F217-vision-deblur%2F217-vision-deblur.ipynb) | Deblur Images with DeblurGAN-v2 | <img src="https://user-images.githubusercontent.com/41332813/158430181-05d07f42-cdb8-4b7a-b7dc-e7f7d9391877.png" width=225> |
 | [218-vehicle-detection-and-recognition](notebooks/218-vehicle-detection-and-recognition/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F218-vehicle-detection-and-recognition%2F218-vehicle-detection-and-recognition.ipynb) | Use pre-trained models to detect and recognize vehicles and their attributes with OpenVINO | <img src = "https://user-images.githubusercontent.com/47499836/163544861-fa2ad64b-77df-4c16-b065-79183e8ed964.png" width=225> |
 | [219-knowledge-graphs-conve](notebooks/219-knowledge-graphs-conve/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F219-knowledge-graphs-conve%2F219-knowledge-graphs-conve.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/219-knowledge-graphs-conve/219-knowledge-graphs-conve.ipynb) | Optimize the knowledge graph embeddings model (ConvE) with OpenVINO ||
 | [220-books-alignment-labse](notebooks/220-cross-lingual-books-alignment/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F220-cross-lingual-books-alignment%2F220-cross-lingual-books-alignment.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/220-cross-lingual-books-alignment/220-cross-lingual-books-alignment.ipynb)| Cross-lingual Books Alignment With Transformers and OpenVINO™ |  |

README_cn.md

@@ -152,7 +152,6 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [214-grammar-correction](notebooks/214-grammar-correction/) | 使用OpenVINO进行语法错误纠正 | **input text**: I'm working in campany for last 2 yeas <br> **Generated text**: I'm working in a company for the last 2 years. |
 | [215-image-inpainting](notebooks/215-image-inpainting/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F215-image-inpainting%2F215-image-inpainting.ipynb)| 用绘画中的图像填充缺失像素 | <img src="https://user-images.githubusercontent.com/4547501/167121084-ec58fbdb-b269-4de2-9d4c-253c5b95de1e.png" width=225> |
 | [216-attention-center](notebooks/216-attention-center/)<br>| 在attention center模型上使用OpenVINO™ |  |
-| [217-vision-deblur](notebooks/217-vision-deblur/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F217-vision-deblur%2F217-vision-deblur.ipynb) | 使用DeblurGAN-v2去除图像模糊 | <img src="https://user-images.githubusercontent.com/41332813/158430181-05d07f42-cdb8-4b7a-b7dc-e7f7d9391877.png" width=225> |
 | [218-vehicle-detection-and-recognition](notebooks/218-vehicle-detection-and-recognition/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F218-vehicle-detection-and-recognition%2F218-vehicle-detection-and-recognition.ipynb) | 利用OpenVINO及预训练模型检测和识别车辆及其属性 | <img src = "https://user-images.githubusercontent.com/47499836/163544861-fa2ad64b-77df-4c16-b065-79183e8ed964.png" width=225> |
 | [219-knowledge-graphs-conve](notebooks/219-knowledge-graphs-conve/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F219-knowledge-graphs-conve%2F219-knowledge-graphs-conve.ipynb) | 使用OpenVINO优化知识图谱嵌入模型(ConvE) ||
 | [221-machine-translation](notebooks/221-machine-translation)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F221-machine-translation%2F221-machine-translation.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/221-machine-translation/221-machine-translation.ipynb) | 从英语到德语的实时翻译 |  |

notebooks/105-language-quantize-bert/105-language-quantize-bert.ipynb

@@ -43,7 +43,7 @@
    "outputs": [],
    "source": [
     "%pip install -q \"nncf>=2.5.0\" \n",
-    "%pip install -q \"transformers\" datasets evaluate --extra-index-url https://download.pytorch.org/whl/cpu\n",
+    "%pip install -q transformers datasets evaluate --extra-index-url https://download.pytorch.org/whl/cpu\n",
     "%pip install -q \"openvino>=2023.1.0\""
    ]
   },

notebooks/127-big-transfer-quantization/127-tensorflow-bit-image-classification-nncf-quantization.ipynb

@@ -36,6 +36,7 @@
     }
    ],
    "source": [
+    "%pip uninstall -q -y openvino-dev openvino openvino-nightly\n",
     "%pip install -q \"openvino-nightly\" \"nncf>=2.7.0\" \"tensorflow-hub>=0.15.0\" \"tensorflow_datasets\"\n",
     "%pip install -q \"scikit-learn>=1.3.2\""
    ]
@@ -707,7 +708,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.11.0 ('big_transfer_ipynb')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -721,7 +722,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0"
+   "version": "3.8.10"
   },
   "openvino_notebooks": {
    "imageUrl": "",
@@ -737,13 +738,19 @@
     ]
    }
   },
-  "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
     "hash": "374b2cdb0125ad729a0bf7d184e929e9a00ea95c1808fc9bf693319fefdaf0d2"
    }
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }