Initial commit (with LFS setup for pkl)

.github/workflows/deploy.yaml

@@ -0,0 +1,14 @@
+name: Deploy to GitHub Pages
+
+permissions:
+  contents: write
+  pages: write
+
+on:
+  push:
+    branches: [ "main", "master" ]
+  workflow_dispatch:
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps: [uses: fastai/workflows/quarto-ghp@master]

.github/workflows/test.yaml

@@ -0,0 +1,7 @@
+name: CI
+on:  [workflow_dispatch, pull_request, push]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps: [uses: fastai/workflows/nbdev-ci@master]

.gitignore

@@ -0,0 +1,151 @@
+_docs/
+_proc/
+
+*.bak
+.last_checked
+.gitconfig
+*.bak
+*.log
+*~
+~*
+_tmp*
+tmp*
+tags
+*.pkg
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+conda/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+.vscode
+*.swp
+
+# osx generated files
+.DS_Store
+.DS_Store?
+.Trashes
+ehthumbs.db
+Thumbs.db
+.idea
+
+# pytest
+.pytest_cache
+
+# tools/trust-doc-nbs
+docs_src/.last_checked
+
+# symlinks to fastai
+docs_src/fastai
+tools/fastai
+
+# link checker
+checklink/cookies.txt
+
+# .gitconfig is now autogenerated
+.gitconfig
+
+# Quarto installer
+.deb
+.pkg
+
+# Quarto
+.quarto

LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
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+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+      on Your own behalf and on Your sole responsibility, not on behalf
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+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
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+   Copyright 2022, fastai
+
+   Licensed under the Apache License, Version 2.0 (the "License");
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MANIFEST.in

@@ -0,0 +1,5 @@
+include settings.ini
+include LICENSE
+include CONTRIBUTING.md
+include README.md
+recursive-exclude * __pycache__

README.md

@@ -1,14 +1,69 @@
----
-title: Fastai Bear Classifier
-emoji: 🏆
-colorFrom: green
-colorTo: red
-sdk: gradio
-sdk_version: 5.25.2
-app_file: app.py
-pinned: false
-license: apache-2.0
-short_description: bear classifier Model following fast ai course
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# fastai-bear-classifier
+
+
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+
+This file will become your README and also the index of your
+documentation.
+
+## Developer Guide
+
+If you are new to using `nbdev` here are some useful pointers to get you
+started.
+
+### Install fastai_bear_classifier in Development mode
+
+``` sh
+# make sure fastai_bear_classifier package is installed in development mode
+$ pip install -e .
+
+# make changes under nbs/ directory
+# ...
+
+# compile to have changes apply to fastai_bear_classifier
+$ nbdev_prepare
+```
+
+## Usage
+
+### Installation
+
+Install latest from the GitHub
+[repository](https://github.com/continuouslearnerforever/fastai-bear-classifier):
+
+``` sh
+$ pip install git+https://github.com/continuouslearnerforever/fastai-bear-classifier.git
+```
+
+or from
+[conda](https://anaconda.org/continuouslearnerforever/fastai-bear-classifier)
+
+``` sh
+$ conda install -c continuouslearnerforever fastai_bear_classifier
+```
+
+or from [pypi](https://pypi.org/project/fastai-bear-classifier/)
+
+``` sh
+$ pip install fastai_bear_classifier
+```
+
+### Documentation
+
+Documentation can be found hosted on this GitHub
+[repository](https://github.com/continuouslearnerforever/fastai-bear-classifier)’s
+[pages](https://continuouslearnerforever.github.io/fastai-bear-classifier/).
+Additionally you can find package manager specific guidelines on
+[conda](https://anaconda.org/continuouslearnerforever/fastai-bear-classifier)
+and [pypi](https://pypi.org/project/fastai-bear-classifier/)
+respectively.
+
+## How to use
+
+Fill me in please! Don’t forget code examples:
+
+``` python
+1+1
+```
+
+    2

fastai_bear_classifier/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

fastai_bear_classifier/_modidx.py

@@ -0,0 +1,8 @@
+# Autogenerated by nbdev
+
+d = { 'settings': { 'branch': 'main',
+                'doc_baseurl': '/fastai-bear-classifier',
+                'doc_host': 'https://continuouslearnerforever.github.io',
+                'git_url': 'https://github.com/continuouslearnerforever/fastai-bear-classifier',
+                'lib_path': 'fastai_bear_classifier'},
+  'syms': {'fastai_bear_classifier.core': {'fastai_bear_classifier.core.foo': ('core.html#foo', 'fastai_bear_classifier/core.py')}}}

fastai_bear_classifier/core.py

@@ -0,0 +1,9 @@
+"""Fill in a module description here"""
+
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/00_core.ipynb.
+
+# %% auto 0
+__all__ = ['foo']
+
+# %% ../nbs/00_core.ipynb 3
+def foo(): pass

nbs/_quarto.yml

@@ -0,0 +1,22 @@
+project:
+  type: website
+
+format:
+  html:
+    theme: cosmo
+    css: styles.css
+    toc: true
+    keep-md: true
+  commonmark: default
+
+website:
+  twitter-card: true
+  open-graph: true
+  repo-actions: [issue]
+  navbar:
+    background: primary
+    search: true
+  sidebar:
+    style: floating
+
+metadata-files: [nbdev.yml, sidebar.yml]

nbs/app.ipynb

@@ -0,0 +1,235 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cde69a49-7ab1-4bf5-bb0f-30746827dedb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|default_exp app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e3e7300c-9b84-4687-8c72-7914240e9397",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Suppress only UserWarning\n",
+    "import warnings\n",
+    "\n",
+    "warnings.filterwarnings('ignore', category=UserWarning)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "5026e71e-78b2-451c-b5f8-20421387a480",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install gradio > /dev/null"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "39544176-83a1-4bcb-bdc3-c8acb8a2ba84",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "from fastai.vision.all import *\n",
+    "import gradio as gr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "38301e4e-11fc-4f1e-909f-58759b8d9e8d",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "learn = load_learner('model.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "905035bc-6dd2-45ba-aee8-b77a5b519a04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "categories = ('Black','Grizzly','Teddy')\n",
+    "\n",
+    "def classify_image(img):\n",
+    "    pred,idx,probs = learn.predict(img)\n",
+    "    return dict(zip(categories, map(float,probs)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e77f8a97-e73f-4c3b-a73d-a958689ff1a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "* Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#|export\n",
+    "image = gr.Image(type=\"pil\")\n",
+    "label = gr.Label()\n",
+    "examples = ['black_bear.jpg', 'grizzly_bear.jpg', 'teddy_bear.jpg']\n",
+    "\n",
+    "intf = gr.Interface(\n",
+    "    fn=classify_image,  \n",
+    "    inputs=image,       \n",
+    "    outputs=label,      \n",
+    "    examples=examples\n",
+    ")\n",
+    "\n",
+    "intf.launch(inline=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a379ae5-65ff-476a-ba6d-3c1edc6878b3",
+   "metadata": {},
+   "source": [
+    "## export python file from the notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "af0ec285-9e53-49f0-be57-12d4e1fc1a3c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import nbdev\n",
+    "\n",
+    "nbdev.export.nb_export('app.ipynb', '.')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (fastai_env)",
+   "language": "python",
+   "name": "fastai_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

nbs/app.py

@@ -0,0 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app.ipynb 3
+from fastai.vision.all import *
+import gradio as gr
+
+# %% app.ipynb 4
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 5
+categories = ('Black','Grizzly','Teddy')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% app.ipynb 6
+image = gr.Image(type="pil")
+label = gr.Label()
+examples = ['black_bear.jpg', 'grizzly_bear.jpg', 'teddy_bear.jpg']
+
+intf = gr.Interface(
+    fn=classify_image,  
+    inputs=image,       
+    outputs=label,      
+    examples=examples
+)
+
+intf.launch(inline=False)

nbs/index.ipynb

@@ -0,0 +1,192 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "from fastai_bear_classifier.core import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# fastai-bear-classifier\n",
+    "\n",
+    "> Bear Classifier using fastai and Gardio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This file will become your README and also the index of your documentation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Developer Guide"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you are new to using `nbdev` here are some useful pointers to get you started."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install fastai_bear_classifier in Development mode"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "```sh\n",
+    "# make sure fastai_bear_classifier package is installed in development mode\n",
+    "$ pip install -e .\n",
+    "\n",
+    "# make changes under nbs/ directory\n",
+    "# ...\n",
+    "\n",
+    "# compile to have changes apply to fastai_bear_classifier\n",
+    "$ nbdev_prepare\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Usage"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Installation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Install latest from the GitHub [repository][repo]:\n",
+    "\n",
+    "```sh\n",
+    "$ pip install git+https://github.com/continuouslearnerforever/fastai-bear-classifier.git\n",
+    "```\n",
+    "\n",
+    "or from [conda][conda]\n",
+    "\n",
+    "```sh\n",
+    "$ conda install -c continuouslearnerforever fastai_bear_classifier\n",
+    "```\n",
+    "\n",
+    "or from [pypi][pypi]\n",
+    "\n",
+    "\n",
+    "```sh\n",
+    "$ pip install fastai_bear_classifier\n",
+    "```\n",
+    "\n",
+    "\n",
+    "[repo]: https://github.com/continuouslearnerforever/fastai-bear-classifier\n",
+    "[docs]: https://continuouslearnerforever.github.io/fastai-bear-classifier/\n",
+    "[pypi]: https://pypi.org/project/fastai-bear-classifier/\n",
+    "[conda]: https://anaconda.org/continuouslearnerforever/fastai-bear-classifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Documentation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Documentation can be found hosted on this GitHub [repository][repo]'s [pages][docs]. Additionally you can find package manager specific guidelines on [conda][conda] and [pypi][pypi] respectively.\n",
+    "\n",
+    "[repo]: https://github.com/continuouslearnerforever/fastai-bear-classifier\n",
+    "[docs]: https://continuouslearnerforever.github.io/fastai-bear-classifier/\n",
+    "[pypi]: https://pypi.org/project/fastai-bear-classifier/\n",
+    "[conda]: https://anaconda.org/continuouslearnerforever/fastai-bear-classifier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to use"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Fill me in please! Don't forget code examples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "1+1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

nbs/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:908ff4e6350adcbeef245abf3c3ccda8e9987810d597ce708f85b5d8980dc49f
+size 46968434

nbs/nbdev.yml

@@ -0,0 +1,9 @@
+project:
+  output-dir: _docs
+
+website:
+  title: "fastai-bear-classifier"
+  site-url: "https://continuouslearnerforever.github.io/fastai-bear-classifier"
+  description: "Bear Classifier using fastai and Gardio"
+  repo-branch: main
+  repo-url: "https://github.com/continuouslearnerforever/fastai-bear-classifier"

nbs/styles.css

@@ -0,0 +1,37 @@
+.cell {
+  margin-bottom: 1rem;
+}
+
+.cell > .sourceCode {
+  margin-bottom: 0;
+}
+
+.cell-output > pre {
+  margin-bottom: 0;
+}
+
+.cell-output > pre, .cell-output > .sourceCode > pre, .cell-output-stdout > pre {
+  margin-left: 0.8rem;
+  margin-top: 0;
+  background: none;
+  border-left: 2px solid lightsalmon;
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+
+.cell-output > .sourceCode {
+  border: none;
+}
+
+.cell-output > .sourceCode {
+  background: none;
+  margin-top: 0;
+}
+
+div.description {
+  padding-left: 2px;
+  padding-top: 5px;
+  font-style: italic;
+  font-size: 135%;
+  opacity: 70%;
+}

pyproject.toml

@@ -0,0 +1,3 @@
+[build-system]
+requires = ["setuptools>=64.0"]
+build-backend = "setuptools.build_meta"

settings.ini

@@ -0,0 +1,45 @@
+[DEFAULT]
+# All sections below are required unless otherwise specified.
+# See https://github.com/AnswerDotAI/nbdev/blob/main/settings.ini for examples.
+
+### Python library ###
+repo = fastai-bear-classifier
+lib_name = %(repo)s
+version = 0.0.1
+min_python = 3.7
+license = apache2
+black_formatting = False
+
+### nbdev ###
+doc_path = _docs
+lib_path = fastai_bear_classifier
+nbs_path = nbs
+recursive = True
+tst_flags = notest
+put_version_in_init = True
+
+### Docs ###
+branch = main
+custom_sidebar = False
+doc_host = https://%(user)s.github.io
+doc_baseurl = /%(repo)s
+git_url = https://github.com/%(user)s/%(repo)s
+title = %(lib_name)s
+
+### PyPI ###
+audience = Developers
+author = Continuous Learner
+author_email = continuouslearnerforever@gmail.com
+copyright = 2025 onwards, %(author)s
+description = Bear Classifier using fastai and Gardio
+keywords = nbdev jupyter notebook python
+language = English
+status = 3
+user = continuouslearnerforever
+
+### Optional ###
+# requirements = fastcore pandas
+# dev_requirements = 
+# console_scripts =
+# conda_user = 
+# package_data =

setup.py

@@ -0,0 +1,64 @@
+from pkg_resources import parse_version
+from configparser import ConfigParser
+import setuptools, shlex
+assert parse_version(setuptools.__version__)>=parse_version('36.2')
+
+# note: all settings are in settings.ini; edit there, not here
+config = ConfigParser(delimiters=['='])
+config.read('settings.ini', encoding='utf-8')
+cfg = config['DEFAULT']
+
+cfg_keys = 'version description keywords author author_email'.split()
+expected = cfg_keys + "lib_name user branch license status min_python audience language".split()
+for o in expected: assert o in cfg, "missing expected setting: {}".format(o)
+setup_cfg = {o:cfg[o] for o in cfg_keys}
+
+licenses = {
+    'apache2': ('Apache Software License 2.0','OSI Approved :: Apache Software License'),
+    'mit': ('MIT License', 'OSI Approved :: MIT License'),
+    'gpl2': ('GNU General Public License v2', 'OSI Approved :: GNU General Public License v2 (GPLv2)'),
+    'gpl3': ('GNU General Public License v3', 'OSI Approved :: GNU General Public License v3 (GPLv3)'),
+    'bsd3': ('BSD License', 'OSI Approved :: BSD License'),
+}
+statuses = [ '1 - Planning', '2 - Pre-Alpha', '3 - Alpha',
+    '4 - Beta', '5 - Production/Stable', '6 - Mature', '7 - Inactive' ]
+py_versions = '3.6 3.7 3.8 3.9 3.10 3.11 3.12'.split()
+
+requirements = shlex.split(cfg.get('requirements', ''))
+if cfg.get('pip_requirements'): requirements += shlex.split(cfg.get('pip_requirements', ''))
+min_python = cfg['min_python']
+lic = licenses.get(cfg['license'].lower(), (cfg['license'], None))
+dev_requirements = (cfg.get('dev_requirements') or '').split()
+
+package_data = dict()
+pkg_data = cfg.get('package_data', None)
+if pkg_data:
+    package_data[cfg['lib_name']] =  pkg_data.split() # split as multiple files might be listed
+# Add package data to setup_cfg for setuptools.setup(..., **setup_cfg)
+setup_cfg['package_data'] = package_data
+
+setuptools.setup(
+    name = cfg['lib_name'],
+    license = lic[0],
+    classifiers = [
+        'Development Status :: ' + statuses[int(cfg['status'])],
+        'Intended Audience :: ' + cfg['audience'].title(),
+        'Natural Language :: ' + cfg['language'].title(),
+    ] + ['Programming Language :: Python :: '+o for o in py_versions[py_versions.index(min_python):]] + (['License :: ' + lic[1] ] if lic[1] else []),
+    url = cfg['git_url'],
+    packages = setuptools.find_packages(),
+    include_package_data = True,
+    install_requires = requirements,
+    extras_require={ 'dev': dev_requirements },
+    dependency_links = cfg.get('dep_links','').split(),
+    python_requires  = '>=' + cfg['min_python'],
+    long_description = open('README.md', encoding='utf-8').read(),
+    long_description_content_type = 'text/markdown',
+    zip_safe = False,
+    entry_points = {
+        'console_scripts': cfg.get('console_scripts','').split(),
+        'nbdev': [f'{cfg.get("lib_path")}={cfg.get("lib_path")}._modidx:d']
+    },
+    **setup_cfg)
+
+