Upload 5 files
Browse files- .gitignore +92 -0
- LICENSE +10 -0
- README.md +57 -13
- packages.txt +1 -0
- requirements.txt +11 -0
.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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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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env/
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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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*.egg-info/
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.installed.cfg
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*.egg
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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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.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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# 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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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# DotEnv configuration
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.env
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# Database
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*.db
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*.rdb
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# Pycharm
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.idea
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# VS Code
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.vscode/
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# Spyder
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.spyproject/
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# Jupyter NB Checkpoints
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.ipynb_checkpoints/
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# exclude data from source control by default
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/data/
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# Mac OS-specific storage files
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.DS_Store
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# vim
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*.swp
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*.swo
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# Mypy cache
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.mypy_cache/
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# Ignore Whoosh index directory
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index/
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LICENSE
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The MIT License (MIT)
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Copyright (c) 2023, Your name (or your organization/company/team)
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is 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 copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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README.md
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art_chatbot
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==============================
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A short description of the project.
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Project Organization
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------------
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βββ LICENSE
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βββ Makefile <- Makefile with commands like `make data` or `make train`
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βββ README.md <- The top-level README for developers using this project.
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βββ data
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βΒ Β βββ external <- Data from third party sources.
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βΒ Β βββ interim <- Intermediate data that has been transformed.
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βΒ Β βββ processed <- The final, canonical data sets for modeling.
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βΒ Β βββ raw <- The original, immutable data dump.
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β
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βββ docs <- A default Sphinx project; see sphinx-doc.org for details
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β
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βββ models <- Trained and serialized models, model predictions, or model summaries
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β
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βββ notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
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β the creator's initials, and a short `-` delimited description, e.g.
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β `1.0-jqp-initial-data-exploration`.
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β
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βββ references <- Data dictionaries, manuals, and all other explanatory materials.
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β
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βββ reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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βΒ Β βββ figures <- Generated graphics and figures to be used in reporting
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β
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βββ requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
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β generated with `pip freeze > requirements.txt`
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β
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βββ setup.py <- makes project pip installable (pip install -e .) so src can be imported
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βββ src <- Source code for use in this project.
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βΒ Β βββ __init__.py <- Makes src a Python module
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β β
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βΒ Β βββ data <- Scripts to download or generate data
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βΒ Β βΒ Β βββ make_dataset.py
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β β
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βΒ Β βββ features <- Scripts to turn raw data into features for modeling
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βΒ Β βΒ Β βββ build_features.py
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β β
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βΒ Β βββ models <- Scripts to train models and then use trained models to make
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β β β predictions
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βΒ Β βΒ Β βββ predict_model.py
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βΒ Β βΒ Β βββ train_model.py
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β β
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βΒ Β βββ visualization <- Scripts to create exploratory and results oriented visualizations
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βΒ Β βββ visualize.py
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β
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βββ tox.ini <- tox file with settings for running tox; see tox.readthedocs.io
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--------
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<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>
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packages.txt
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libgl1
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requirements.txt
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python-dotenv>=0.5.1
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click==8.1.3
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numpy==1.24.3
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Pillow==9.5.0
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python-dotenv==1.0.0
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streamlit==1.22.0
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torch==2.0.1
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tqdm==4.65.0
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transformers==4.29.2
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Whoosh==2.7.4
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wikipedia==1.4.0
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