save

app.ipynb

@@ -40,7 +40,12 @@
    "id": "c25e8e7a-52d9-4305-a107-ba03e3d6a5f3",
    "metadata": {},
    "source": [
-    "After you are done creating the space, **clone the repo per the instructions provided in the app.**  In this example, I ran the command `git clone https://huggingface.co/spaces/hamel/hfspace_demo`."
+    "After you are done creating the space, **clone the repo per the instructions provided in the app.**  In this example, I ran the command `git clone https://huggingface.co/spaces/hamel/hfspace_demo`.\n",
+    "\n",
+    "\n",
+    "## 2. Create A Notebook\n",
+    "\n",
+    "To follow along, create a notebook called `app.ipynb` in the root of your newly cloned repo.  You can write code as described below in your notebook. Alternatively, a minimal version of this notebook can also be [found here](https://gist.github.com/hamelsmu/35be07d242f3f19063c3a3839127dc67)."
    ]
   },
   {
@@ -48,7 +53,7 @@
    "id": "ff26114c-329b-4a97-98b5-c652554b0114",
    "metadata": {},
    "source": [
-    "## 2. Make an app with Gradio"
+    "## 3. Make an app with Gradio"
    ]
   },
   {
@@ -213,7 +218,7 @@
    "id": "249b2cd7-3123-45bf-945f-882b8a964cf5",
    "metadata": {},
    "source": [
-    "## 3. Converting This Notebook Into A Gradio App"
+    "## 4. Convert This Notebook Into A Gradio App"
    ]
   },
   {
@@ -341,7 +346,7 @@
    "source": [
     "_Note: you may want to add operating system dependencies in addition to python dependencies.  You can do this via a `packages.txt` file as [documented here](https://huggingface.co/docs/hub/spaces-dependencies#adding-your-own-dependencies)._\n",
     "\n",
-    "## 4. Launch Your Gradio App\n",
+    "## 5. Launch Your Gradio App\n",
     "\n",
     "To launch your gradio app, you need to commit the changes to the Hugging Face repo:\n",
     "\n",
@@ -355,7 +360,7 @@
    "id": "fa661f93-73b4-465a-9c22-cc38197505cb",
    "metadata": {},
    "source": [
-    "## 5. Voilà!  Enjoy your Gradio App"
+    "# Voilà!  Enjoy your Gradio App"
    ]
   },
   {

app.py

@@ -7,7 +7,7 @@ __all__ = ['iface', 'size']
 import gradio as gr
 from fastcore.net import urljson, HTTPError
 
-# %% app.ipynb 7
+# %% app.ipynb 8
 def size(repo:str):
     "Returns the size in GB of a HuggingFace Dataset."
     url = f'https://huggingface.co/api/datasets/{repo}'
@@ -16,6 +16,6 @@ def size(repo:str):
     gb = resp['size'] / 1e9
     return f'{gb:.2f} GB'
 
-# %% app.ipynb 11
+# %% app.ipynb 12
 iface = gr.Interface(fn=size, inputs=gr.Text(value="tglcourse/CelebA-faces-cropped-128"), outputs="text")
 iface.launch(width=500)

demo.ipynb

@@ -0,0 +1,184 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "eed6bcd0-6cf8-4aa9-bedf-5eca5a6b7a9c",
+   "metadata": {},
+   "source": [
+    "# Hugging Face Spaces From A Notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15fe30a9-cfeb-4ec0-ae40-334072046464",
+   "metadata": {},
+   "source": [
+    "Please reference [this blog post](https://nbdev.fast.ai/blog/posts/2022-11-10-spaces) on how to use this notebook."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ca22d1e-1bd0-49c0-9b89-c480ad1a29c4",
+   "metadata": {},
+   "source": [
+    "# Make an app with Gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00cf4fad-a920-41dc-be42-3992c7fcefac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "import gradio as gr\n",
+    "from fastcore.net import urljson, HTTPError"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "38a4389f-ef53-4626-a6f5-a859354f854b",
+   "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": null,
+   "id": "95bc32b8-d8ff-4761-a2d7-0880c51d0a42",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'5.49 GB'"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "size(\"tglcourse/CelebA-faces-cropped-128\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7b20e2a1-b622-4970-9069-0202ce10a2ce",
+   "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=\"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": [
+       "(<gradio.routes.App>, 'http://127.0.0.1:7860/', None)"
+      ]
+     },
+     "execution_count": null,
+     "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(width=500)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39d7be72-9389-42cf-91b1-78e8f4bbd083",
+   "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": "markdown",
+   "id": "249b2cd7-3123-45bf-945f-882b8a964cf5",
+   "metadata": {},
+   "source": [
+    "## Convert This Notebook Into A Gradio App"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6706d92c-5785-4f09-9773-b9a944c493a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "nb_export('app.ipynb', lib_path='.', name='app')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0182403f-d1d6-48c0-8e66-46aefb23a9ab",
+   "metadata": {},
+   "source": [
+    "<div>\n",
+    "<link rel=\"stylesheet\" href=\"https://gradio.s3-us-west-2.amazonaws.com/2.6.5/static/bundle.css\">\n",
+    "<div id=\"target\"></div>\n",
+    "<script src=\"https://gradio.s3-us-west-2.amazonaws.com/2.6.5/static/bundle.js\"></script>\n",
+    "<script>\n",
+    "launchGradioFromSpaces(\"abidlabs/question-answering\", \"#target\")\n",
+    "</script>\n",
+    "</div>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}