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.ipynb_checkpoints/app-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f598db56-5a32-42b5-98de-790a3acdbd62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "import gradio as gr\n",
+    "from fastcore.net import urljson, HTTPError"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "62cf74c6-a8cb-4c62-99c5-ad1c1776aed1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "def size(repo:str):\n",
+    "    \"Returns the size in GB of a HuggingFace Dataset.\"\n",
+    "    url = f'https://huggingface.co/api/datasets/{repo}'\n",
+    "    try: resp = urljson(f'{url}/treesize/main')\n",
+    "    except HTTPError: return f'Did not find repo: {url}'\n",
+    "    gb = resp['size'] / 1e9\n",
+    "    return f'{gb:.2f} GB'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "568dafe6-9edf-4b6b-934c-62e7d26629bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'5.49 GB'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "size(\"tglcourse/CelebA-faces-cropped-128\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8bcb5f89-4a46-4615-aedf-34dff061d0df",
+   "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/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"500\" height=\"450\" 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": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#|export\n",
+    "iface = gr.Interface(fn=size, inputs=gr.Text(value=\"tglcourse/CelebA-faces-cropped-128\"), outputs=\"text\")\n",
+    "iface.launch(height=450, width=500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "04e0bd54-851e-4821-bca7-3da3e43cc525",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Closing server running on port: 7860\n"
+     ]
+    }
+   ],
+   "source": [
+    "# this is only necessary in a notebook\n",
+    "iface.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2701c26b-7c82-4f57-bf91-ab842b494ddb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "nb_export('app.ipynb', lib_path='.', name='app')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "5bcd9468-574c-4839-962e-22571c3d1a53",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing requirements.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%writefile requirements.txt\n",
+    "fastcore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8677e10-4b72-43de-ba48-debd881d238d",
+   "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.ipynb

@@ -0,0 +1,174 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f598db56-5a32-42b5-98de-790a3acdbd62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "import gradio as gr\n",
+    "from fastcore.net import urljson, HTTPError"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "62cf74c6-a8cb-4c62-99c5-ad1c1776aed1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "def size(repo:str):\n",
+    "    \"Returns the size in GB of a HuggingFace Dataset.\"\n",
+    "    url = f'https://huggingface.co/api/datasets/{repo}'\n",
+    "    try: resp = urljson(f'{url}/treesize/main')\n",
+    "    except HTTPError: return f'Did not find repo: {url}'\n",
+    "    gb = resp['size'] / 1e9\n",
+    "    return f'{gb:.2f} GB'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "568dafe6-9edf-4b6b-934c-62e7d26629bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'5.49 GB'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "size(\"tglcourse/CelebA-faces-cropped-128\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8bcb5f89-4a46-4615-aedf-34dff061d0df",
+   "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/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"500\" height=\"450\" 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": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#|export\n",
+    "iface = gr.Interface(fn=size, inputs=gr.Text(value=\"tglcourse/CelebA-faces-cropped-128\"), outputs=\"text\")\n",
+    "iface.launch(height=450, width=500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "04e0bd54-851e-4821-bca7-3da3e43cc525",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Closing server running on port: 7860\n"
+     ]
+    }
+   ],
+   "source": [
+    "# this is only necessary in a notebook\n",
+    "iface.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2701c26b-7c82-4f57-bf91-ab842b494ddb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "nb_export('app.ipynb', lib_path='.', name='app')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "5bcd9468-574c-4839-962e-22571c3d1a53",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing requirements.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%writefile requirements.txt\n",
+    "fastcore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8677e10-4b72-43de-ba48-debd881d238d",
+   "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

@@ -0,0 +1,21 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['iface', 'size']
+
+# %% app.ipynb 0
+import gradio as gr
+from fastcore.net import urljson, HTTPError
+
+# %% app.ipynb 1
+def size(repo:str):
+    "Returns the size in GB of a HuggingFace Dataset."
+    url = f'https://huggingface.co/api/datasets/{repo}'
+    try: resp = urljson(f'{url}/treesize/main')
+    except HTTPError: return f'Did not find repo: {url}'
+    gb = resp['size'] / 1e9
+    return f'{gb:.2f} GB'
+
+# %% app.ipynb 3
+iface = gr.Interface(fn=size, inputs=gr.Text(value="tglcourse/CelebA-faces-cropped-128"), outputs="text")
+iface.launch(height=450, width=500)

requirements.txt

@@ -0,0 +1 @@
+fastcore