* add text classification transformers
* add ner
* use specified model for tasks; allow summary in BERT
* update notebooks and dockerfile
* links for notebooks on colab
* links for notebooks on colab
* update notebooks image path for colab
* add image summary notebook
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* pin deepface version to avoid bug with progress bar after update
* update actions version for checkout and python
* test ci without lavis
* no lavis for ci test
* merging
* return lavis
* change lavis to salesforce-lavis
* change pycocotools install method
* change pycocotools install method
* fix_pycocotools
* Downgrade Python
* back to 3.9 and remove pycocotools dependance
* instrucctions for windows
* missing comma after merge
* lavis only for ubuntu
* use lavis package name in install instead of git
* adding multimodal searching py and notebook
* exclude lavis on windows
* skip import on windows
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* reactivate lavis
* Revert "reactivate lavis"
This reverts commit ecdaf9d316e4b08816ba62da5e0482c8ff15b14e.
* Change input format for multimodal search
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix clip models
* account for new interface in init imports
* changed imports bec of lavis/windows
* fix if-else, added clip ViT-L-14=336 model
* fix code smells
* add model change function to summary
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fixed new model in summary.py
* fixed summary windget
* moved some function to utils
* fixed imort torch in utils
* added test_summary.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fixed opencv version
* added first test of multimodal_search.py
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* fixed test
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* fixed blip2 model in test_multimodal_search.py
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* fixed test multimodal search on cpu and gpu machines
* added test, fixed dependencies
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* added test_multimodal_search tests
* fixed tests in test_multimodal_search.py
* fixed tests in test_summary
* changed CI and fixed test_multimodel search
* fixed ci
* fixed error in test multimodal search, changed ci
* added multimodal search test, added windows CI, added picture in test data
* CI debuging
* fixing tests in CI
* fixing test in CI 2
* fixing CI 3
* fixing CI
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* fixing cv2 error
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* fixing tests in CI
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* add missing jupyter
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: iulusoy <inga.ulusoy@uni-heidelberg.de>
* add bertopic to requirements
* basic topic modeling
* topic modeling using BERT; bugfix if no text on post
* update for google colab
* Catch connection errors
* replace newline character with space
* move topic analysis into PostprocessText class
* set up dataflow topic analysis
* expose topic model to UI
* tests for class init
* tests for topic analysis
* more tests
* take care of carriage return on windows
* take care of carriage return on windows
* take care of carriage return on windows
* set encoding to ensure windows compatibility
* track encoding error
* more debug
* skip topic analysis debug
* windows fixes
* lower python version for google colab
* faces working with colab
* text for colab
* fix dict update bug
* final edits for colab
* update readme with links
* load text models on demand
* update test
* fix typo; more description in readme
* remove optional keys
* update notebook
* comments
* add jupyterlab
* add text analysis capability
* add bool in tests
* add dependencies and spelling test
* add test sentiment
* update black pre-commit dependency for native nb support
* update black version, find better sentiment test
* test analyse_image
* start with translate
* translate and clean - notebook
* spacy model in requirements
* translate in module
* clean in module
* upload coverage only for ubuntu
* update ubuntu version on runner
* update dependencies
* start tests for text
* skip gcv test
* fix age
* more text tests
* more text tests
* add comment
* test translation
* fix numpy version; add reference data for trans
* use utf-8 for windows
* read image into nb
* test
* added keras-ocr and google vision
* google cloud vision by far the best
* setting up docker for text 1
* move widgets and analysis to display module
* move widgets and analysis to display module - 2
* text on image through widgets
