Add files

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# 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/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

app.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ae4232b9-fb9f-419a-9992-8481d1de6b61",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# |export\n",
+    "import gradio as gr\n",
+    "import pandas as pd\n",
+    "from huggingface_hub import list_models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "82d94a98-0e69-4400-9cb1-2e90ef6da519",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# |export\n",
+    "def get_submissions(category):\n",
+    "    submissions = list_models(filter=[\"dreambooth-hackathon\", category], full=True)\n",
+    "    leaderboard_models = []\n",
+    "\n",
+    "    for submission in submissions:\n",
+    "        # user, model, likes\n",
+    "        leaderboard_models.append(\n",
+    "            (\n",
+    "                submission.id.split(\"/\")[0],\n",
+    "                submission.id.split(\"/\")[-1],\n",
+    "                submission.likes,\n",
+    "            )\n",
+    "        )\n",
+    "\n",
+    "    df = pd.DataFrame(data=leaderboard_models, columns=[\"User\", \"Model\", \"Likes\"])\n",
+    "    df.sort_values(by=[\"Likes\"], ascending=False, inplace=True)\n",
+    "    df.insert(0, \"Rank\", list(range(1, len(df) + 1)))\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "7579bfc6-ddf6-444d-ab7e-505734d86e4d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/lewtun/miniconda3/envs/hf/lib/python3.8/site-packages/gradio/outputs.py:127: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7876\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7876/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# |export\n",
+    "block = gr.Blocks()\n",
+    "\n",
+    "with block:\n",
+    "    gr.Markdown(\"hi\")\n",
+    "    with gr.Tabs():\n",
+    "        with gr.TabItem(\"Animal\"):\n",
+    "            with gr.Row():\n",
+    "                animal_data = gr.outputs.Dataframe(type=\"pandas\")\n",
+    "            with gr.Row():\n",
+    "                data_run = gr.Button(\"Refresh\")\n",
+    "                data_run.click(\n",
+    "                    get_submissions, inputs=gr.Variable(\"Animal\"), outputs=animal_data\n",
+    "                )\n",
+    "        with gr.TabItem(\"Science\"):\n",
+    "            with gr.Row():\n",
+    "                science_data = gr.outputs.Dataframe(type=\"pandas\")\n",
+    "            with gr.Row():\n",
+    "                data_run = gr.Button(\"Refresh\")\n",
+    "                data_run.click(\n",
+    "                    get_submissions, inputs=gr.Variable(\"Animal\"), outputs=science_data\n",
+    "                )\n",
+    "        with gr.TabItem(\"Food\"):\n",
+    "            with gr.Row():\n",
+    "                food_data = gr.outputs.Dataframe(type=\"pandas\")\n",
+    "            with gr.Row():\n",
+    "                data_run = gr.Button(\"Refresh\")\n",
+    "                data_run.click(\n",
+    "                    get_submissions, inputs=gr.Variable(\"Food\"), outputs=food_data\n",
+    "                )\n",
+    "        with gr.TabItem(\"Landscape\"):\n",
+    "            with gr.Row():\n",
+    "                landscape_data = gr.outputs.Dataframe(type=\"pandas\")\n",
+    "            with gr.Row():\n",
+    "                data_run = gr.Button(\"Refresh\")\n",
+    "                data_run.click(\n",
+    "                    get_submissions, inputs=gr.Variable(\"Landscape\"), outputs=data\n",
+    "                )\n",
+    "        with gr.TabItem(\"Wilcard\"):\n",
+    "            with gr.Row():\n",
+    "                wildcard_data = gr.outputs.Dataframe(type=\"pandas\")\n",
+    "            with gr.Row():\n",
+    "                data_run = gr.Button(\"Refresh\")\n",
+    "                data_run.click(\n",
+    "                    get_submissions,\n",
+    "                    inputs=gr.Variable(\"Wildcard\"),\n",
+    "                    outputs=wildcard_data,\n",
+    "                )\n",
+    "\n",
+    "    block.load(get_submissions, inputs=gr.Variable(\"animal\"), outputs=animal_data)\n",
+    "    block.load(get_submissions, inputs=gr.Variable(\"science\"), outputs=science_data)\n",
+    "    block.load(get_submissions, inputs=gr.Variable(\"food\"), outputs=food_data)\n",
+    "    block.load(get_submissions, inputs=gr.Variable(\"landscape\"), outputs=landscape_data)\n",
+    "    block.load(get_submissions, inputs=gr.Variable(\"wildcard\"), outputs=wildcard_data)\n",
+    "\n",
+    "\n",
+    "block.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "17ff7d33-0c9a-4ca0-bb7b-ba1661063035",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Closing server running on port: 7876\n"
+     ]
+    }
+   ],
+   "source": [
+    "block.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "339fee32-8a83-435d-b882-55b5f0994774",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "\n",
+    "nb_export(\"app.ipynb\", lib_path=\".\", name=\"app\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "29f6746e-fbc3-4087-b2d8-46cd1a55e16e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing requirements.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%writefile requirements.txt\n",
+    "pandas\n",
+    "huggingface_hub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63e8d8ea-31cc-4ddc-a08c-d9cbf02a909d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "hf",
+   "language": "python",
+   "name": "hf"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = []
+
+# %% app.ipynb 0
+import gradio as gr
+import pandas as pd
+from huggingface_hub import list_models

requirements.txt

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+pandas
+huggingface_hub