app.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -Uqq gradio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(#1) [Path('model.pkl')]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "path = Path()\n",
    "path.ls(file_exts='.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner(path/'model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "labels = learn.dls.vocab # read labels from Data Loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['chp', 'traffic']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "def classify_image(img):\n",
    "    pred,pred_idx,probs = learn.predict(img) # use passed image for prediction\n",
    "    return {labels[i]: float(probs[i]) for i in range(len(labels))} # return all results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "PILImage mode=RGB size=224x167"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('chp.jpg')\n",
    "im.thumbnail((224,224))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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/plain": [
       "('chp', tensor(0), tensor([9.9978e-01, 2.1730e-04]))"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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/plain": [
       "{'chp': 0.9997827410697937, 'traffic': 0.00021729628497269005}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/zacharylandes/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:259: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  warnings.warn(\n",
      "/Users/zacharylandes/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:262: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  super().__init__(\n",
      "/Users/zacharylandes/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:197: 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",
      "/Users/zacharylandes/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:200: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
      "  super().__init__(num_top_classes=num_top_classes, type=type, label=label)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7863\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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",
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       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "        background: #F44336;\n",
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       "</style>\n"
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    {
     "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",
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       "</style>\n"
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     "metadata": {},
     "output_type": "display_data"
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    {
     "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"
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       "<IPython.core.display.HTML object>"
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     "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>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.inputs.Image(shape=(224,224))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['chp.jpg', 'traffic.jpg', 'traffic2.jpg', 'traffic3.jpg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nbdev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbdev.export.nb_export('app.ipynb', 'app')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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