TAPAS Table Question Answering (#1408)

* Conversion

* TAPAS Table Question Answering example

* Add to README.md

* Pep8 and spellchecks

* Description update

* Nightly version of OpenVINO

* Change file name

* Fix uparrow symbol

* Fix uparrow symbol

* Correct a question

* Dependencies

* Table colouring

* Table colouring

* Update notebooks/266-table-question-answering/README.md

Co-authored-by: Igor Davidyuk <igor.davidyuk@intel.com>

* Remove redundant core

* EDownload example and gradio compatibility

* Colab example

* gradio compatibility

* Rewrite TapasForQuestionAnswering wrapper

* gradio compatibility

* gradio compatibility

* pin gradio and correct mistakes

* Change a number and naming, some improvements

---------

Co-authored-by: Igor Davidyuk <igor.davidyuk@intel.com>
Co-authored-by: Ekaterina Aidova <ekaterina.aidova@intel.com>

.ci/spellcheck/.pyspelling.wordlist.txt

@@ -35,6 +35,7 @@ Belrose
 Benchmarking
 benchmarking
 bert
+BERT's
 Bewley
 BGR
 Bicubic
@@ -402,6 +403,7 @@ panoptic
 parallelized
 parameterization
 parametrize
+parsers
 perceptron
 performant
 PersonaGPT
@@ -539,6 +541,7 @@ spectrogram
 spectrograms
 splitters
 SPS
+SQA
 SQuAD
 SRT
 SSDLite
@@ -637,7 +640,11 @@ Wav
 WavLM
 WebGL
 WER
+WIKISQL
+WikiTable
+WIKITQ
 Wofk
+WTQ
 wuerstchen
 WuerstchenDiffNeXt
 Würstchen

README.md

@@ -208,6 +208,8 @@ Demos that demonstrate inference on a particular model.
 | [265-wuerstchen-image-generation](notebooks/265-wuerstchen-image-generation)<br> | Text-to-image generation with Würstchen and OpenVINO™ | <img src="https://github.com/itrushkin/openvino_notebooks/assets/76161256/6917c558-d74c-4cc9-b81a-679ce0a299ee" width=225> |
 | [266-speculative-sampling](notebooks/266-speculative-sampling)<br> | Text Generation via Speculative Sampling, KV Caching, and OpenVINO™ | <img src=https://user-images.githubusercontent.com/29454499/280659301-49a38beb-e6f3-4a2c-858e-be4ca4491016.png width=225> |
 | [267-distil-whisper-asr](notebooks/267-distil-whisper-asr)<br> | Automatic speech recognition using Distil-Whisper and OpenVINO™ | |
+| [268-table-question-answering](notebooks/268-table-question-answering)<br><br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/268-table-question-answering/268-table-question-answering.ipynb)<br> | Table Question Answering using TAPAS and OpenVINO™ ||
+
 
 <div id='-model-training'></div>