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Initial Commit

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Files changed (5) hide show
  1. .gitignore +176 -0
  2. .vscode/settings.json +6 -0
  3. README.md +13 -0
  4. app.ipynb +240 -0
  5. app.py +30 -0
.gitignore ADDED
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+ # Created by https://www.toptal.com/developers/gitignore/api/python
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+ # Edit at https://www.toptal.com/developers/gitignore?templates=python
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+
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+ ### Python ###
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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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+
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+ # C extensions
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+ *.so
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+
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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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+ 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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+
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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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+
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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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+
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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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+ *.py,cover
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+ .hypothesis/
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+ .pytest_cache/
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+ cover/
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+
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+ # Translations
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+ *.mo
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+ *.pot
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+
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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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+
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+ # Flask stuff:
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+ instance/
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+ .webassets-cache
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+
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+ # Scrapy stuff:
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+ .scrapy
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+
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+ # Sphinx documentation
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+ docs/_build/
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+
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+ # PyBuilder
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+ .pybuilder/
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+ target/
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+
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+ # Jupyter Notebook
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+ .ipynb_checkpoints
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+
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+ # IPython
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+ profile_default/
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+ ipython_config.py
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+
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+ # pyenv
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+ # For a library or package, you might want to ignore these files since the code is
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+ # intended to run in multiple environments; otherwise, check them in:
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+ # .python-version
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+
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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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+
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+ # poetry
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+ # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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+ # This is especially recommended for binary packages to ensure reproducibility, and is more
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+ # commonly ignored for libraries.
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+ # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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+ #poetry.lock
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+
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+ # pdm
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+ # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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+ #pdm.lock
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+ # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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+ # in version control.
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+ # https://pdm.fming.dev/#use-with-ide
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+ .pdm.toml
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+
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+ # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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+ __pypackages__/
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+
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+ # Celery stuff
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+ celerybeat-schedule
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+ celerybeat.pid
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+
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+ # SageMath parsed files
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+ *.sage.py
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+
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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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+
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+ # Spyder project settings
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+ .spyderproject
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+ .spyproject
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+
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+ # Rope project settings
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+ .ropeproject
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+
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+ # mkdocs documentation
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+ /site
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+
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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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+
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+ # Pyre type checker
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+ .pyre/
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+
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+ # pytype static type analyzer
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+ .pytype/
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+
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+ # Cython debug symbols
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+ cython_debug/
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+
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+ # PyCharm
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+ # JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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+ # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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+ # and can be added to the global gitignore or merged into this file. For a more nuclear
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+ # option (not recommended) you can uncomment the following to ignore the entire idea folder.
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+ #.idea/
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+
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+ ### Python Patch ###
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+ # Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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+ poetry.toml
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+
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+ # ruff
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+ .ruff_cache/
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+
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+ # LSP config files
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+ pyrightconfig.json
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+
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+ # End of https://www.toptal.com/developers/gitignore/api/python
.vscode/settings.json ADDED
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+ {
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+ "[python]": {
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+ "editor.defaultFormatter": "ms-python.autopep8"
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+ },
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+ "python.formatting.provider": "none"
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+ }
README.md ADDED
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+ ---
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+ title: The Goat
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+ emoji: 📚
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+ colorFrom: green
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+ colorTo: purple
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+ sdk: gradio
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+ sdk_version: 3.29.0
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+ app_file: app.py
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+ pinned: false
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+ license: apache-2.0
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "#|default_exp app"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "#|export\n",
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+ "from fastai.vision.all import *\n",
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+ "from gradio.components import Image, Label\n",
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+ "import gradio as gr\n",
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+ "\n",
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+ "def is_goat(x): return True"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "im = PILImage.create(\"messi.jpg\")\n",
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+ "im.thumbnail((256,256))\n",
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+ "# ?im"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "image/png": 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",
45
+ "text/plain": [
46
+ "PILImage mode=RGB size=256x171"
47
+ ]
48
+ },
49
+ "execution_count": 4,
50
+ "metadata": {},
51
+ "output_type": "execute_result"
52
+ }
53
+ ],
54
+ "source": [
55
+ "im"
56
+ ]
57
+ },
58
+ {
59
+ "cell_type": "code",
60
+ "execution_count": 5,
61
+ "metadata": {},
62
+ "outputs": [],
63
+ "source": [
64
+ "#|export\n",
65
+ "learn = load_learner(\"model.pkl\")"
66
+ ]
67
+ },
68
+ {
69
+ "cell_type": "code",
70
+ "execution_count": 6,
71
+ "metadata": {},
72
+ "outputs": [],
73
+ "source": [
74
+ "# learn.predict(im)"
75
+ ]
76
+ },
77
+ {
78
+ "cell_type": "code",
79
+ "execution_count": 7,
80
+ "metadata": {},
81
+ "outputs": [],
82
+ "source": [
83
+ "#|export\n",
84
+ "# categories = (\"GOAT\", \"Not GOAT\")\n",
85
+ "categories = learn.dls.vocab\n",
86
+ "\n",
87
+ "def classify_img(img):\n",
88
+ " pred_class,pred_idx,probs = learn.predict(img)\n",
89
+ " return dict(zip(categories, map(float,probs)))"
90
+ ]
91
+ },
92
+ {
93
+ "cell_type": "code",
94
+ "execution_count": 8,
95
+ "metadata": {},
96
+ "outputs": [],
97
+ "source": [
98
+ "# classify_img(im)"
99
+ ]
100
+ },
101
+ {
102
+ "cell_type": "code",
103
+ "execution_count": 9,
104
+ "metadata": {},
105
+ "outputs": [
106
+ {
107
+ "name": "stdout",
108
+ "output_type": "stream",
109
+ "text": [
110
+ "Running on local URL: http://127.0.0.1:7860\n",
111
+ "\n",
112
+ "To create a public link, set `share=True` in `launch()`.\n"
113
+ ]
114
+ },
115
+ {
116
+ "data": {
117
+ "text/plain": []
118
+ },
119
+ "execution_count": 9,
120
+ "metadata": {},
121
+ "output_type": "execute_result"
122
+ },
123
+ {
124
+ "data": {
125
+ "text/html": [
126
+ "\n",
127
+ "<style>\n",
128
+ " /* Turns off some styling */\n",
129
+ " progress {\n",
130
+ " /* gets rid of default border in Firefox and Opera. */\n",
131
+ " border: none;\n",
132
+ " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
133
+ " background-size: auto;\n",
134
+ " }\n",
135
+ " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
136
+ " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
137
+ " }\n",
138
+ " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
139
+ " background: #F44336;\n",
140
+ " }\n",
141
+ "</style>\n"
142
+ ],
143
+ "text/plain": [
144
+ "<IPython.core.display.HTML object>"
145
+ ]
146
+ },
147
+ "metadata": {},
148
+ "output_type": "display_data"
149
+ },
150
+ {
151
+ "data": {
152
+ "text/html": [],
153
+ "text/plain": [
154
+ "<IPython.core.display.HTML object>"
155
+ ]
156
+ },
157
+ "metadata": {},
158
+ "output_type": "display_data"
159
+ }
160
+ ],
161
+ "source": [
162
+ "#|export\n",
163
+ "image = Image(shape=(192,192))\n",
164
+ "label = Label()\n",
165
+ "examples = [\"Messi.jpg\", \"ronaldo.jpg\", \"hazard.jpg\"]\n",
166
+ "\n",
167
+ "intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)\n",
168
+ "intf.launch(inline=False)"
169
+ ]
170
+ },
171
+ {
172
+ "cell_type": "code",
173
+ "execution_count": 11,
174
+ "metadata": {},
175
+ "outputs": [],
176
+ "source": [
177
+ "import nbdev"
178
+ ]
179
+ },
180
+ {
181
+ "cell_type": "code",
182
+ "execution_count": 16,
183
+ "metadata": {},
184
+ "outputs": [
185
+ {
186
+ "name": "stdout",
187
+ "output_type": "stream",
188
+ "text": [
189
+ "Export Successful\n"
190
+ ]
191
+ }
192
+ ],
193
+ "source": [
194
+ "nbdev.export.nb_export(\"app.ipynb\", \"app\")\n",
195
+ "print(\"Export Successful\")"
196
+ ]
197
+ },
198
+ {
199
+ "cell_type": "code",
200
+ "execution_count": null,
201
+ "metadata": {},
202
+ "outputs": [],
203
+ "source": []
204
+ }
205
+ ],
206
+ "metadata": {
207
+ "kernelspec": {
208
+ "display_name": "Python 3 (ipykernel)",
209
+ "language": "python",
210
+ "name": "python3"
211
+ },
212
+ "language_info": {
213
+ "codemirror_mode": {
214
+ "name": "ipython",
215
+ "version": 3
216
+ },
217
+ "file_extension": ".py",
218
+ "mimetype": "text/x-python",
219
+ "name": "python",
220
+ "nbconvert_exporter": "python",
221
+ "pygments_lexer": "ipython3",
222
+ "version": "3.10.10"
223
+ },
224
+ "toc": {
225
+ "base_numbering": 1,
226
+ "nav_menu": {},
227
+ "number_sections": true,
228
+ "sideBar": true,
229
+ "skip_h1_title": false,
230
+ "title_cell": "Table of Contents",
231
+ "title_sidebar": "Contents",
232
+ "toc_cell": false,
233
+ "toc_position": {},
234
+ "toc_section_display": true,
235
+ "toc_window_display": false
236
+ }
237
+ },
238
+ "nbformat": 4,
239
+ "nbformat_minor": 2
240
+ }
app.py ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
2
+
3
+ # %% auto 0
4
+ __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_goat', 'classify_img']
5
+
6
+ # %% ../app.ipynb 1
7
+ from fastai.vision.all import *
8
+ from gradio.components import Image, Label
9
+ import gradio as gr
10
+
11
+ def is_goat(x): return True
12
+
13
+ # %% ../app.ipynb 4
14
+ learn = load_learner("model.pkl")
15
+
16
+ # %% ../app.ipynb 6
17
+ # categories = ("GOAT", "Not GOAT")
18
+ categories = learn.dls.vocab
19
+
20
+ def classify_img(img):
21
+ pred_class,pred_idx,probs = learn.predict(img)
22
+ return dict(zip(categories, map(float,probs)))
23
+
24
+ # %% ../app.ipynb 8
25
+ image = Image(shape=(192,192))
26
+ label = Label()
27
+ examples = ["Messi.jpg", "ronaldo.jpg", "hazard.jpg"]
28
+
29
+ intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
30
+ intf.launch(inline=False)