{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rintoj/miniconda3/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=192x108>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('emirates.jpg')\n",
    "im.to_thumb(192, 192)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": [
       "('emirates', tensor(0), tensor([0.9891, 0.0109]))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Emirates', 'Indigo')\n",
    "\n",
    "def classify_image(img):\n",
    "  _,_,probs = learn.predict(img)\n",
    "  return dict(zip(categories, map(float, probs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": [
       "\n",
       "    <div>\n",
       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      0.00% [0/1 00:00&lt;?]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'Emirates': 0.9890660047531128, 'Indigo': 0.010934021323919296}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(PILImage.create('emirates.jpg'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7865\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# image = gr.inputs.Image(shape=(192, 192))\n",
    "def greet(a):\n",
    "  return f\"Hello {a}\"\n",
    "\n",
    "iface = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n",
    "iface.launch(inline=False, share=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7866\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 25,
     "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",
       "    }\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/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/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/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/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/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": [
    "#|export\n",
    "image = gr.Image()\n",
    "label = gr.Label()\n",
    "examples = ['emirates.jpg', 'indigo.jpg']\n",
    "\n",
    "interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "interface.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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