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ElenaRyumina
commited on
Commit
•
f51c1fd
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Parent(s):
e17ec0b
Summary
Browse files- .flake8 +5 -0
- .gitignore +172 -0
- LICENSE +21 -0
- README.md +4 -4
- app.css +67 -0
- app.py +39 -0
- app/__init__.py +0 -0
- app/authors.py +10 -0
- app/components.py +94 -0
- app/config.py +38 -0
- app/description.py +17 -0
- app/event_handlers/__init__.py +0 -0
- app/event_handlers/calculate_pt_scores_blocks.py +31 -0
- app/event_handlers/clear_blocks.py +32 -0
- app/event_handlers/event_handlers.py +56 -0
- app/event_handlers/files.py +44 -0
- app/oceanai_init.py +75 -0
- app/tabs.py +50 -0
- config.toml +16 -0
- requirements.txt +5 -0
.flake8
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; https://www.flake8rules.com/
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[flake8]
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max-line-length = 120
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ignore = E203, E402, E741, W503
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.gitignore
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# Compiled source #
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###################
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*.com
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*.class
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*.dll
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*.exe
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*.o
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*.so
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*.pyc
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# Packages #
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############
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# it's better to unpack these files and commit the raw source
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# git has its own built in compression methods
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*.7z
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*.dmg
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*.gz
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*.iso
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*.rar
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#*.tar
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*.zip
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# Logs and databases #
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######################
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*.log
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*.sqlite
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# OS generated files #
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######################
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.DS_Store
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ehthumbs.db
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Icon
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Thumbs.db
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.tmtags
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.idea
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.vscode
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tags
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vendor.tags
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tmtagsHistory
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*.sublime-project
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*.sublime-workspace
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.bundle
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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node_modules/
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Custom
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logs/
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models/
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LICENSE
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MIT License
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Copyright (c) 2024 Elena Ryumina and Dmitry Ryumin
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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title: OCEANAI
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 4.24.0
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app_file: app.py
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license: mit
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---
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-
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: OCEANAI
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emoji: 🤩🔝🔥
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colorFrom: gray
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colorTo: red
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sdk: gradio
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sdk_version: 4.24.0
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app_file: app.py
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license: mit
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---
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Check out the configuration reference at <https://huggingface.co/docs/hub/spaces-config-reference>
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app.css
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.noti_err {
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color: #B42E2C;
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}
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.noti_true {
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color: #006900;
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}
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div.video-container {
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height: 350px;
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max-height: 350px;
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}
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div.files-container {
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height: 350px;
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max-height: 350px;
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}
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div.files-container div.file-preview-holder {
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overflow-y: scroll;
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height: 100%;
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}
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div.files-container label[data-testid="block-label"] {
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position: absolute;
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}
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.calculate_oceanai {
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display: inline-block;
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padding: 10px 20px;
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font-size: 16px;
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font-weight: bold;
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text-align: center;
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text-decoration: none;
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cursor: pointer;
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border: var(--button-border-width) solid var(--button-primary-border-color);
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background: var(--button-primary-background-fill);
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color: var(--button-primary-text-color);
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border-radius: 8px;
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transition: all 0.3s ease;
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}
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.clear_oceanai {
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display: inline-block;
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padding: 10px 20px;
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font-size: 16px;
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font-weight: bold;
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text-align: center;
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text-decoration: none;
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cursor: pointer;
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border-radius: 8px;
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transition: all 0.3s ease;
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}
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.calculate_oceanai[disabled], .clear_oceanai[disabled] {
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cursor: not-allowed;
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opacity: 0.6;
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}
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.calculate_oceanai:hover:not([disabled]) {
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border-color: var(--button-primary-border-color-hover);
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background: var(--button-primary-background-fill-hover);
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color: var(--button-primary-text-color-hover);
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}
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.calculate_oceanai:active:not([disabled]), .clear_oceanai:active:not([disabled]) {
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transform: scale(0.98);
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}
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app.py
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"""
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File: app.py
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Authors: Elena Ryumina and Dmitry Ryumin
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Description: OCEANAI App for gradio.
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License: MIT License
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"""
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import gradio as gr
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# Importing necessary components for the Gradio app
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from app.config import CONFIG_NAME, config_data, load_tab_creators
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from app.event_handlers.event_handlers import setup_app_event_handlers
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from app import tabs
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def create_gradio_app() -> gr.Blocks:
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with gr.Blocks(css=config_data.AppSettings_CSS_PATH) as gradio_app:
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tab_results = {}
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available_functions = {
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attr: getattr(tabs, attr)
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for attr in dir(tabs)
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if callable(getattr(tabs, attr)) and attr.endswith("_tab")
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}
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tab_creators = load_tab_creators(CONFIG_NAME, available_functions)
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for tab_name, create_tab_function in tab_creators.items():
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with gr.Tab(tab_name):
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app_instance = create_tab_function()
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tab_results[tab_name] = app_instance
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setup_app_event_handlers(*tab_results[list(tab_results.keys())[0]])
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return gradio_app
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if __name__ == "__main__":
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create_gradio_app().queue(api_open=False).launch(share=True)
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app/__init__.py
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File without changes
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app/authors.py
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"""
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File: authors.py
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Author: Elena Ryumina and Dmitry Ryumin
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Description: About the authors.
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License: MIT License
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"""
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AUTHORS = """
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9 |
+
Authors: [Elena Ryumina](https://github.com/ElenaRyumina), [Dmitry Ryumin](https://github.com/DmitryRyumin)
|
10 |
+
"""
|
app/components.py
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: components.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: Utility functions for creating Gradio components.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
from typing import Union, List, Callable, Optional
|
10 |
+
|
11 |
+
|
12 |
+
def html_message(
|
13 |
+
message: str = "", error: bool = True, visible: bool = True
|
14 |
+
) -> gr.HTML:
|
15 |
+
css_class = "noti_err" if not error else "noti_true"
|
16 |
+
|
17 |
+
return gr.HTML(value=f"<h3 class='{css_class}'>{message}</h3>", visible=visible)
|
18 |
+
|
19 |
+
|
20 |
+
def files_create_ui(
|
21 |
+
value: Union[str, List[str], Callable, None] = None,
|
22 |
+
file_count: str = "multiple",
|
23 |
+
file_types: List = ["video"],
|
24 |
+
label: str = "Video Files",
|
25 |
+
show_label: bool = True,
|
26 |
+
interactive: bool = True,
|
27 |
+
visible: bool = True,
|
28 |
+
elem_classes: Optional[str] = "files-container",
|
29 |
+
) -> gr.File:
|
30 |
+
return gr.File(
|
31 |
+
value=value,
|
32 |
+
file_count=file_count,
|
33 |
+
file_types=file_types,
|
34 |
+
label=label,
|
35 |
+
show_label=show_label,
|
36 |
+
interactive=interactive,
|
37 |
+
visible=visible,
|
38 |
+
elem_classes=elem_classes,
|
39 |
+
)
|
40 |
+
|
41 |
+
|
42 |
+
def video_create_ui(
|
43 |
+
value: Optional[str] = None,
|
44 |
+
label: str = "Video Player",
|
45 |
+
file_name: Optional[str] = None,
|
46 |
+
show_label: bool = True,
|
47 |
+
interactive: bool = False,
|
48 |
+
visible: bool = True,
|
49 |
+
elem_classes: Optional[str] = "files-container",
|
50 |
+
) -> gr.Video:
|
51 |
+
if file_name is not None:
|
52 |
+
label += f" ({file_name})"
|
53 |
+
|
54 |
+
return gr.Video(
|
55 |
+
value=value,
|
56 |
+
label=label,
|
57 |
+
show_label=show_label,
|
58 |
+
interactive=interactive,
|
59 |
+
visible=visible,
|
60 |
+
elem_classes=elem_classes,
|
61 |
+
)
|
62 |
+
|
63 |
+
|
64 |
+
def dataframe(
|
65 |
+
headers: Optional[List] = None,
|
66 |
+
values: Optional[List] = None,
|
67 |
+
height: int = 500,
|
68 |
+
wrap: bool = True,
|
69 |
+
visible: bool = True,
|
70 |
+
) -> gr.Dataframe:
|
71 |
+
if headers is None or values is None:
|
72 |
+
datatype = "str"
|
73 |
+
else:
|
74 |
+
datatype = ["markdown"] * len(headers)
|
75 |
+
|
76 |
+
return gr.Dataframe(
|
77 |
+
value=values,
|
78 |
+
headers=headers,
|
79 |
+
datatype=datatype,
|
80 |
+
height=height,
|
81 |
+
wrap=wrap,
|
82 |
+
visible=visible,
|
83 |
+
)
|
84 |
+
|
85 |
+
|
86 |
+
def button(
|
87 |
+
value: str = "",
|
88 |
+
interactive: bool = True,
|
89 |
+
scale: int = 3,
|
90 |
+
elem_classes: Optional[str] = None,
|
91 |
+
) -> gr.Button:
|
92 |
+
return gr.Button(
|
93 |
+
value=value, interactive=interactive, scale=scale, elem_classes=elem_classes
|
94 |
+
)
|
app/config.py
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: config.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: Configuration module for handling settings.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import toml
|
9 |
+
from typing import Callable, Dict
|
10 |
+
from types import SimpleNamespace
|
11 |
+
|
12 |
+
CONFIG_NAME = "config.toml"
|
13 |
+
|
14 |
+
|
15 |
+
def flatten_dict(prefix: str, d: Dict) -> Dict:
|
16 |
+
result = {}
|
17 |
+
|
18 |
+
for k, v in d.items():
|
19 |
+
result.update(flatten_dict(f"{prefix}{k}_", v) if isinstance(v, dict) else {f"{prefix}{k}": v})
|
20 |
+
|
21 |
+
return result
|
22 |
+
|
23 |
+
|
24 |
+
def load_tab_creators(file_path: str, available_functions: Callable) -> Dict:
|
25 |
+
config = toml.load(file_path)
|
26 |
+
tab_creators_data = config.get("TabCreators", {})
|
27 |
+
|
28 |
+
return {key: available_functions[value] for key, value in tab_creators_data.items()}
|
29 |
+
|
30 |
+
|
31 |
+
def load_config(file_path: str) -> SimpleNamespace:
|
32 |
+
config = toml.load(file_path)
|
33 |
+
config_data = flatten_dict("", config)
|
34 |
+
|
35 |
+
return SimpleNamespace(**config_data)
|
36 |
+
|
37 |
+
|
38 |
+
config_data = load_config(CONFIG_NAME)
|
app/description.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: description.py
|
3 |
+
Author: Dmitry Ryumin
|
4 |
+
Description: Project description for the Gradio app.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
# Importing necessary components for the Gradio app
|
9 |
+
from app.config import config_data
|
10 |
+
|
11 |
+
DESCRIPTION = f"""\
|
12 |
+
# OCEANAI
|
13 |
+
|
14 |
+
<div class="app-flex-container">
|
15 |
+
<img src="https://img.shields.io/badge/version-v{config_data.AppSettings_APP_VERSION}-rc0" alt="Version">
|
16 |
+
</div>
|
17 |
+
"""
|
app/event_handlers/__init__.py
ADDED
File without changes
|
app/event_handlers/calculate_pt_scores_blocks.py
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: clear_blocks.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: Event handler for clearing Gradio app blocks and components.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
|
10 |
+
# Importing necessary components for the Gradio app
|
11 |
+
from app.oceanai_init import b5
|
12 |
+
from app.config import config_data
|
13 |
+
from app.components import html_message, dataframe
|
14 |
+
|
15 |
+
|
16 |
+
def event_handler_calculate_pt_scores_blocks(files, evt_data: gr.EventData):
|
17 |
+
_ = evt_data.target.__class__.__name__
|
18 |
+
|
19 |
+
out = False
|
20 |
+
b5.get_avt_predictions_gradio(
|
21 |
+
paths=files, url_accuracy="", accuracy=False, lang="en", out=out
|
22 |
+
)
|
23 |
+
|
24 |
+
return (
|
25 |
+
html_message(config_data.InformationMessages_NOTI_VIDEOS, False, False),
|
26 |
+
dataframe(
|
27 |
+
headers=b5.df_files_.columns.tolist(),
|
28 |
+
values=b5.df_files_.values.tolist(),
|
29 |
+
visible=True,
|
30 |
+
),
|
31 |
+
)
|
app/event_handlers/clear_blocks.py
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: clear_blocks.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: Event handler for clearing Gradio app blocks and components.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
# Importing necessary components for the Gradio app
|
9 |
+
from app.config import config_data
|
10 |
+
from app.components import (
|
11 |
+
html_message,
|
12 |
+
files_create_ui,
|
13 |
+
video_create_ui,
|
14 |
+
button,
|
15 |
+
dataframe,
|
16 |
+
)
|
17 |
+
|
18 |
+
|
19 |
+
def event_handler_clear_blocks():
|
20 |
+
return (
|
21 |
+
html_message(config_data.InformationMessages_NOTI_VIDEOS, False),
|
22 |
+
files_create_ui(),
|
23 |
+
video_create_ui(),
|
24 |
+
button(
|
25 |
+
config_data.OtherMessages_CALCULATE_PT_SCORES,
|
26 |
+
False,
|
27 |
+
3,
|
28 |
+
"calculate_oceanai",
|
29 |
+
),
|
30 |
+
button(config_data.OtherMessages_CLEAR_APP, False, 1, "clear_oceanai"),
|
31 |
+
dataframe(visible=False),
|
32 |
+
)
|
app/event_handlers/event_handlers.py
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: event_handlers.py
|
3 |
+
Author: Dmitry Ryumin
|
4 |
+
Description: File containing functions for configuring event handlers for Gradio components.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
|
10 |
+
# Importing necessary components for the Gradio app
|
11 |
+
from app.event_handlers.files import (
|
12 |
+
event_handler_files,
|
13 |
+
event_handler_files_select,
|
14 |
+
)
|
15 |
+
from app.event_handlers.clear_blocks import event_handler_clear_blocks
|
16 |
+
from app.event_handlers.calculate_pt_scores_blocks import (
|
17 |
+
event_handler_calculate_pt_scores_blocks,
|
18 |
+
)
|
19 |
+
|
20 |
+
|
21 |
+
def setup_app_event_handlers(
|
22 |
+
notifications, files, video, calculate_pt_scores, clear_app, pt_scores
|
23 |
+
):
|
24 |
+
# Events
|
25 |
+
files.change(
|
26 |
+
event_handler_files,
|
27 |
+
[files],
|
28 |
+
[notifications, video, calculate_pt_scores, clear_app],
|
29 |
+
queue=True,
|
30 |
+
)
|
31 |
+
files.select(
|
32 |
+
event_handler_files_select,
|
33 |
+
[files],
|
34 |
+
[video],
|
35 |
+
queue=True,
|
36 |
+
)
|
37 |
+
gr.on(
|
38 |
+
triggers=[calculate_pt_scores.click],
|
39 |
+
fn=event_handler_calculate_pt_scores_blocks,
|
40 |
+
inputs=[files],
|
41 |
+
outputs=[notifications, pt_scores],
|
42 |
+
queue=True,
|
43 |
+
)
|
44 |
+
clear_app.click(
|
45 |
+
fn=event_handler_clear_blocks,
|
46 |
+
inputs=[],
|
47 |
+
outputs=[
|
48 |
+
notifications,
|
49 |
+
files,
|
50 |
+
video,
|
51 |
+
calculate_pt_scores,
|
52 |
+
clear_app,
|
53 |
+
pt_scores,
|
54 |
+
],
|
55 |
+
queue=True,
|
56 |
+
)
|
app/event_handlers/files.py
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: search.py
|
3 |
+
Author: Dmitry Ryumin
|
4 |
+
Description: Event handler for searching and filtering papers in the Gradio app.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
from pathlib import Path
|
10 |
+
|
11 |
+
# Importing necessary components for the Gradio app
|
12 |
+
from app.config import config_data
|
13 |
+
from app.components import html_message, video_create_ui, button
|
14 |
+
|
15 |
+
|
16 |
+
def event_handler_files(files):
|
17 |
+
if not files:
|
18 |
+
return (
|
19 |
+
html_message(config_data.InformationMessages_NOTI_VIDEOS, False),
|
20 |
+
video_create_ui(),
|
21 |
+
button(
|
22 |
+
config_data.OtherMessages_CALCULATE_PT_SCORES,
|
23 |
+
False,
|
24 |
+
3,
|
25 |
+
"calculate_oceanai",
|
26 |
+
),
|
27 |
+
button(config_data.OtherMessages_CLEAR_APP, False, 1, "clear_oceanai"),
|
28 |
+
)
|
29 |
+
|
30 |
+
return (
|
31 |
+
html_message(config_data.OtherMessages_NOTI_CALCULATE, True),
|
32 |
+
video_create_ui(value=files[0], file_name=Path(files[0]).name),
|
33 |
+
button(
|
34 |
+
config_data.OtherMessages_CALCULATE_PT_SCORES,
|
35 |
+
True,
|
36 |
+
3,
|
37 |
+
"calculate_oceanai",
|
38 |
+
),
|
39 |
+
button(config_data.OtherMessages_CLEAR_APP, True, 1, "clear_oceanai"),
|
40 |
+
)
|
41 |
+
|
42 |
+
|
43 |
+
def event_handler_files_select(files, evt: gr.SelectData):
|
44 |
+
return video_create_ui(value=files[evt.index], file_name=evt.value)
|
app/oceanai_init.py
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
"""
|
2 |
+
File: oceanai_init.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: OceanAI initialization.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
from oceanai.modules.lab.build import Run
|
9 |
+
|
10 |
+
|
11 |
+
def oceanai_initialization():
|
12 |
+
out = False
|
13 |
+
|
14 |
+
# Создание экземпляра класса
|
15 |
+
_b5 = Run(lang="en", metadata=out)
|
16 |
+
|
17 |
+
# Настройка ядра
|
18 |
+
_b5.path_to_save_ = "./models" # Директория для сохранения файла
|
19 |
+
_b5.chunk_size_ = 2000000 # Размер загрузки файла из сети за 1 шаг
|
20 |
+
|
21 |
+
corpus = "fi"
|
22 |
+
|
23 |
+
# Формирование аудиомоделей
|
24 |
+
_ = _b5.load_audio_model_hc(out=out)
|
25 |
+
_ = _b5.load_audio_model_nn(out=out)
|
26 |
+
|
27 |
+
# Загрузка весов аудиомоделей
|
28 |
+
url = _b5.weights_for_big5_["audio"][corpus]["hc"]["sberdisk"]
|
29 |
+
_ = _b5.load_audio_model_weights_hc(url=url, out=out)
|
30 |
+
|
31 |
+
url = _b5.weights_for_big5_["audio"][corpus]["nn"]["sberdisk"]
|
32 |
+
_ = _b5.load_audio_model_weights_nn(url=url, out=out)
|
33 |
+
|
34 |
+
# Формирование видеомоделей
|
35 |
+
_ = _b5.load_video_model_hc(lang="en", out=out)
|
36 |
+
_ = _b5.load_video_model_deep_fe(out=out)
|
37 |
+
_ = _b5.load_video_model_nn(out=out)
|
38 |
+
|
39 |
+
# Загрузка весов видеомоделей
|
40 |
+
url = _b5.weights_for_big5_["video"][corpus]["hc"]["sberdisk"]
|
41 |
+
_ = _b5.load_video_model_weights_hc(url=url, out=out)
|
42 |
+
|
43 |
+
url = _b5.weights_for_big5_["video"][corpus]["fe"]["sberdisk"]
|
44 |
+
_ = _b5.load_video_model_weights_deep_fe(url=url, out=out)
|
45 |
+
|
46 |
+
url = _b5.weights_for_big5_["video"][corpus]["nn"]["sberdisk"]
|
47 |
+
_ = _b5.load_video_model_weights_nn(url=url, out=out)
|
48 |
+
|
49 |
+
# Загрузка словаря с экспертными признаками (текстовая модальность)
|
50 |
+
_ = _b5.load_text_features(out=out)
|
51 |
+
|
52 |
+
# Формирование текстовых моделей
|
53 |
+
_ = _b5.setup_translation_model() # только для русского языка
|
54 |
+
_ = _b5.setup_bert_encoder(force_reload=False, out=out)
|
55 |
+
_ = _b5.load_text_model_hc(corpus=corpus, out=out)
|
56 |
+
_ = _b5.load_text_model_nn(corpus=corpus, out=out)
|
57 |
+
|
58 |
+
# Загрузка весов текстовых моделей
|
59 |
+
url = _b5.weights_for_big5_["text"][corpus]["hc"]["sberdisk"]
|
60 |
+
_ = _b5.load_text_model_weights_hc(url=url, out=out)
|
61 |
+
|
62 |
+
url = _b5.weights_for_big5_["text"][corpus]["nn"]["sberdisk"]
|
63 |
+
_ = _b5.load_text_model_weights_nn(url=url, out=out)
|
64 |
+
|
65 |
+
# Формирование модели для мультимодального объединения информации
|
66 |
+
_ = _b5.load_avt_model_b5(out=out)
|
67 |
+
|
68 |
+
# Загрузка весов модели для мультимодального объединения информации
|
69 |
+
url = _b5.weights_for_big5_["avt"][corpus]["b5"]["sberdisk"]
|
70 |
+
_ = _b5.load_avt_model_weights_b5(url=url, out=out)
|
71 |
+
|
72 |
+
return _b5
|
73 |
+
|
74 |
+
|
75 |
+
b5 = oceanai_initialization()
|
app/tabs.py
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
File: tabs.py
|
3 |
+
Author: Elena Ryumina and Dmitry Ryumin
|
4 |
+
Description: Gradio app tabs - Contains the definition of various tabs for the Gradio app interface.
|
5 |
+
License: MIT License
|
6 |
+
"""
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
|
10 |
+
# Importing necessary components for the Gradio app
|
11 |
+
from app.description import DESCRIPTION
|
12 |
+
from app.authors import AUTHORS
|
13 |
+
from app.config import config_data
|
14 |
+
from app.components import (
|
15 |
+
html_message,
|
16 |
+
files_create_ui,
|
17 |
+
video_create_ui,
|
18 |
+
button,
|
19 |
+
dataframe,
|
20 |
+
)
|
21 |
+
|
22 |
+
|
23 |
+
def app_tab():
|
24 |
+
gr.Markdown(value=DESCRIPTION)
|
25 |
+
|
26 |
+
with gr.Row():
|
27 |
+
files = files_create_ui()
|
28 |
+
|
29 |
+
video = video_create_ui()
|
30 |
+
|
31 |
+
with gr.Row():
|
32 |
+
calculate_pt_scores = button(
|
33 |
+
config_data.OtherMessages_CALCULATE_PT_SCORES,
|
34 |
+
False,
|
35 |
+
3,
|
36 |
+
"calculate_oceanai",
|
37 |
+
)
|
38 |
+
clear_app = button(
|
39 |
+
config_data.OtherMessages_CLEAR_APP, False, 1, "clear_oceanai"
|
40 |
+
)
|
41 |
+
|
42 |
+
notifications = html_message(config_data.InformationMessages_NOTI_VIDEOS, False)
|
43 |
+
|
44 |
+
pt_scores = dataframe(visible=False)
|
45 |
+
|
46 |
+
return (notifications, files, video, calculate_pt_scores, clear_app, pt_scores)
|
47 |
+
|
48 |
+
|
49 |
+
def about_authors_tab():
|
50 |
+
return gr.Markdown(value=AUTHORS)
|
config.toml
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[AppSettings]
|
2 |
+
APP_VERSION = "0.1.0"
|
3 |
+
CSS_PATH = "app.css"
|
4 |
+
|
5 |
+
[InformationMessages]
|
6 |
+
NOTI_VIDEOS = "Select the video(s)"
|
7 |
+
|
8 |
+
[OtherMessages]
|
9 |
+
CALCULATE_PT_SCORES = "Calculation of Big Five personality traits scores"
|
10 |
+
CLEAR_APP = "Clear"
|
11 |
+
NOTI_CALCULATE = "You can calculate Big Five personality traits scores"
|
12 |
+
|
13 |
+
[TabCreators]
|
14 |
+
"App" = "app_tab"
|
15 |
+
"About the Authors" = "about_authors_tab"
|
16 |
+
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
gradio==4.23.0
|
2 |
+
requests==2.31.0
|
3 |
+
PyYAML==6.0.1
|
4 |
+
toml==0.10.2
|
5 |
+
oceanai==1.0.0a21
|