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cat-app-v2.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#hide\n",
+    "! [ -e /content ] && pip install -Uqq fastbook\n",
+    "import fastbook\n",
+    "fastbook.setup_book()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#hide\n",
+    "from fastbook import *\n",
+    "from fastai.vision.widgets import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Turning Your Model into an Online Application"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(#1) [Path('model_cat_garden.pkl')]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path = Path()\n",
+    "path.ls(file_exts='.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "learn_inf = load_learner('model_cat_garden.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['faraway cat in garden', 'garden']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "learn_inf.dls.vocab"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating a Notebook App from the Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "390263efa38e4784826c89433119c69f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FileUpload(value={}, description='Upload')"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "btn_upload = widgets.FileUpload()\n",
+    "btn_upload"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "img = btn_upload.data[-1]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6fd1aecb19774416a522049b8ecd84b9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "out_pl = widgets.Output()\n",
+    "out_pl.clear_output()\n",
+    "with out_pl: display(PILImage.create(img).to_thumb(128,128))\n",
+    "out_pl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "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"
+    }
+   ],
+   "source": [
+    "pred,pred_idx,probs = learn_inf.predict(btn_upload.data[-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4f1034eb5de848a28d71a0456f65c524",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Label(value='Prediction: faraway cat in garden; Probability: 0.8835')"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lbl_pred = widgets.Label()\n",
+    "lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'\n",
+    "lbl_pred"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "00231df17dac4cfa87e3cdc9d0017ce3",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Button(description='Classify', style=ButtonStyle())"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "btn_run = widgets.Button(description='Classify')\n",
+    "btn_run"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def on_click_classify(change):\n",
+    "    img = btn_upload.data[-1]\n",
+    "    out_pl.clear_output()\n",
+    "    with out_pl: display(PILImage.create(img).to_thumb(128,128))\n",
+    "    pred,pred_idx,probs = learn_inf.predict(img)\n",
+    "    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'\n",
+    "\n",
+    "btn_run.on_click(on_click_classify)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#hide\n",
+    "#Putting back btn_upload to a widget for next cell\n",
+    "btn_upload = widgets.FileUpload()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "af0b23b36a574540854829445cc70016",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(Label(value='Select your bear!'), FileUpload(value={}, description='Upload'), Button(descriptio…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "VBox([widgets.Label('Select your bear!'), \n",
+    "      btn_upload, btn_run, out_pl, lbl_pred])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Turning Your Notebook into a Real App"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: voila in /Users/ahriman/mambaforge/lib/python3.10/site-packages (0.4.0)\n",
+      "Requirement already satisfied: jupyter-core>=4.11.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (5.3.0)\n",
+      "Requirement already satisfied: nbclient<0.8,>=0.4.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (0.7.3)\n",
+      "Requirement already satisfied: websockets>=9.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (11.0.1)\n",
+      "Requirement already satisfied: jupyterlab-server<3,>=2.3.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (2.22.0)\n",
+      "Requirement already satisfied: nbconvert<8,>=6.4.5 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (7.3.1)\n",
+      "Requirement already satisfied: jupyter-client<=7.4.1,>=6.1.3 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (7.4.1)\n",
+      "Requirement already satisfied: jupyter-server<2.0.0,>=1.18 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from voila) (1.23.6)\n",
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+      "Requirement already satisfied: entrypoints in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-client<=7.4.1,>=6.1.3->voila) (0.4)\n",
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+      "Requirement already satisfied: tornado>=6.2 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-client<=7.4.1,>=6.1.3->voila) (6.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-client<=7.4.1,>=6.1.3->voila) (2.8.2)\n",
+      "Requirement already satisfied: platformdirs>=2.5 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-core>=4.11.0->voila) (3.2.0)\n",
+      "Requirement already satisfied: anyio<4,>=3.1.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (3.6.2)\n",
+      "Requirement already satisfied: prometheus-client in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (0.16.0)\n",
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+      "Requirement already satisfied: packaging in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (23.0)\n",
+      "Requirement already satisfied: jinja2 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (3.1.2)\n",
+      "Requirement already satisfied: terminado>=0.8.3 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (0.17.1)\n",
+      "Requirement already satisfied: nbformat>=5.2.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (5.8.0)\n",
+      "Requirement already satisfied: Send2Trash in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (1.8.0)\n",
+      "Requirement already satisfied: argon2-cffi in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyter-server<2.0.0,>=1.18->voila) (21.3.0)\n",
+      "Requirement already satisfied: json5>=0.9.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyterlab-server<3,>=2.3.0->voila) (0.9.11)\n",
+      "Requirement already satisfied: requests>=2.28 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyterlab-server<3,>=2.3.0->voila) (2.28.2)\n",
+      "Requirement already satisfied: jsonschema>=4.17.3 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyterlab-server<3,>=2.3.0->voila) (4.17.3)\n",
+      "Requirement already satisfied: babel>=2.10 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jupyterlab-server<3,>=2.3.0->voila) (2.12.1)\n",
+      "Requirement already satisfied: beautifulsoup4 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from nbconvert<8,>=6.4.5->voila) (4.12.2)\n",
+      "Requirement already satisfied: jupyterlab-pygments in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from nbconvert<8,>=6.4.5->voila) (0.2.2)\n",
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+      "Requirement already satisfied: defusedxml in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from nbconvert<8,>=6.4.5->voila) (0.7.1)\n",
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+      "Requirement already satisfied: mistune<3,>=2.0.3 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from nbconvert<8,>=6.4.5->voila) (2.0.5)\n",
+      "Requirement already satisfied: idna>=2.8 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from anyio<4,>=3.1.0->jupyter-server<2.0.0,>=1.18->voila) (3.4)\n",
+      "Requirement already satisfied: sniffio>=1.1 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from anyio<4,>=3.1.0->jupyter-server<2.0.0,>=1.18->voila) (1.3.0)\n",
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+      "Requirement already satisfied: attrs>=17.4.0 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from jsonschema>=4.17.3->jupyterlab-server<3,>=2.3.0->voila) (22.2.0)\n",
+      "Requirement already satisfied: fastjsonschema in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from nbformat>=5.2.0->jupyter-server<2.0.0,>=1.18->voila) (2.16.3)\n",
+      "Requirement already satisfied: six>=1.5 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from python-dateutil>=2.8.2->jupyter-client<=7.4.1,>=6.1.3->voila) (1.16.0)\n",
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+      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from requests>=2.28->jupyterlab-server<3,>=2.3.0->voila) (3.1.0)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from requests>=2.28->jupyterlab-server<3,>=2.3.0->voila) (2022.12.7)\n",
+      "Requirement already satisfied: ptyprocess in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from terminado>=0.8.3->jupyter-server<2.0.0,>=1.18->voila) (0.7.0)\n",
+      "Requirement already satisfied: argon2-cffi-bindings in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from argon2-cffi->jupyter-server<2.0.0,>=1.18->voila) (21.2.0)\n",
+      "Requirement already satisfied: soupsieve>1.2 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from beautifulsoup4->nbconvert<8,>=6.4.5->voila) (2.4)\n",
+      "Requirement already satisfied: webencodings in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from bleach->nbconvert<8,>=6.4.5->voila) (0.5.1)\n",
+      "Requirement already satisfied: cffi>=1.0.1 in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from argon2-cffi-bindings->argon2-cffi->jupyter-server<2.0.0,>=1.18->voila) (1.15.1)\n",
+      "Requirement already satisfied: pycparser in /Users/ahriman/mambaforge/lib/python3.10/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->jupyter-server<2.0.0,>=1.18->voila) (2.21)\n",
+      "Enabling: voila\n",
+      "- Writing config: /usr/local/opt/python@3.9/Frameworks/Python.framework/Versions/3.9/etc/jupyter\n",
+      "    - Validating...\n",
+      "Error loading server extension voila\n",
+      "     \u001b[31m X\u001b[0m is voila importable?\n"
+     ]
+    }
+   ],
+   "source": [
+    "#hide\n",
+    "!pip3 install voila\n",
+    "!jupyter serverextension enable --sys-prefix voila "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "usage: jupyter-serverextension [-h] [--debug] [--show-config]\r\n",
+      "                               [--show-config-json] [--user] [--system]\r\n",
+      "                               [--sys-prefix] [--py] [--python]\r\n",
+      "                               [--log-level EnableServerExtensionApp.log_level]\r\n",
+      "                               [--config EnableServerExtensionApp.config_file]\r\n",
+      "                               [extra_args ...]\r\n",
+      "jupyter-serverextension: error: unrecognized arguments: -sys-prefix\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!jupyter serverextension enable --sys-prefix voila "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Questionnaire"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Provide an example of where the bear classification model might work poorly in production, due to structural or style differences in the training data.\n",
+    "1. Where do text models currently have a major deficiency?\n",
+    "1. What are possible negative societal implications of text generation models?\n",
+    "1. In situations where a model might make mistakes, and those mistakes could be harmful, what is a good alternative to automating a process?\n",
+    "1. What kind of tabular data is deep learning particularly good at?\n",
+    "1. What's a key downside of directly using a deep learning model for recommendation systems?\n",
+    "1. What are the steps of the Drivetrain Approach?\n",
+    "1. How do the steps of the Drivetrain Approach map to a recommendation system?\n",
+    "1. Create an image recognition model using data you curate, and deploy it on the web.\n",
+    "1. What is `DataLoaders`?\n",
+    "1. What four things do we need to tell fastai to create `DataLoaders`?\n",
+    "1. What does the `splitter` parameter to `DataBlock` do?\n",
+    "1. How do we ensure a random split always gives the same validation set?\n",
+    "1. What letters are often used to signify the independent and dependent variables?\n",
+    "1. What's the difference between the crop, pad, and squish resize approaches? When might you choose one over the others?\n",
+    "1. What is data augmentation? Why is it needed?\n",
+    "1. What is the difference between `item_tfms` and `batch_tfms`?\n",
+    "1. What is a confusion matrix?\n",
+    "1. What does `export` save?\n",
+    "1. What is it called when we use a model for getting predictions, instead of training?\n",
+    "1. What are IPython widgets?\n",
+    "1. When might you want to use CPU for deployment? When might GPU be better?\n",
+    "1. What are the downsides of deploying your app to a server, instead of to a client (or edge) device such as a phone or PC?\n",
+    "1. What are three examples of problems that could occur when rolling out a bear warning system in practice?\n",
+    "1. What is \"out-of-domain data\"?\n",
+    "1. What is \"domain shift\"?\n",
+    "1. What are the three steps in the deployment process?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Further Research"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Consider how the Drivetrain Approach maps to a project or problem you're interested in.\n",
+    "1. When might it be best to avoid certain types of data augmentation?\n",
+    "1. For a project you're interested in applying deep learning to, consider the thought experiment \"What would happen if it went really, really well?\"\n",
+    "1. Start a blog, and write your first blog post. For instance, write about what you think deep learning might be useful for in a domain you're interested in."
+   ]
+  },
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+   "execution_count": null,
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