{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c31ed028-ddf3-4c13-8049-1b67bf184a98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\u001b[?25hCollecting gradio-client==0.6.1 (from gradio)\n",
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      "    Uninstalling anyio-4.0.0:\n",
      "      Successfully uninstalled anyio-4.0.0\n",
      "Successfully installed aiofiles-23.2.1 altair-5.1.2 anyio-3.7.1 fastapi-0.104.0 ffmpy-0.3.1 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 httpcore-0.18.0 httpx-0.25.0 orjson-3.9.9 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.27.0 uvicorn-0.23.2 websockets-11.0.3\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "! pip install -Uqq fastbook\n",
    "! pip install gradio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61b17aee-d54d-45dd-970b-7f5e22c762e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "raw",
   "id": "c1fbb609-13d2-4431-86b9-f5439803ae2b",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d2752fb9-736e-4999-b796-f50925dd535e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "PILImage mode=RGB size=173x192"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create(\"sunflower.jpg\")\n",
    "im.thumbnail((192,192))\n",
    "\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8a3a3355-946a-4a83-8826-a84992b417d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner(\"export.pkl\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a3eda266-632e-4c58-acf9-8cbcab764cdf",
   "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": [
    "predict, idx, probs = learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78e26b4b-703c-47a6-9711-a7b433ffdbe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Hellebore flowers', 'Peoneis flowers', 'Rose flowers', 'Sunflower']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories = learn.dls.vocab\n",
    "categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "56aff529-c0f3-4ded-80e5-a06a2d12346c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Hellebore flowers': 7.141724154280382e-07,\n",
       " 'Peoneis flowers': 1.4747066643394646e-06,\n",
       " 'Rose flowers': 6.034231887497299e-07,\n",
       " 'Sunflower': 0.9999972581863403}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = dict(zip(categories,map(float, probs)))\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "67cbf81d-95d8-4f8c-9101-f2efb175b578",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Hellebore flowers': 7.141724154280382e-07,\n",
       " 'Peoneis flowers': 1.4747066643394646e-06,\n",
       " 'Rose flowers': 6.034231887497299e-07,\n",
       " 'Sunflower': 0.9999972581863403}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "669444a6-01e1-4dcc-a314-18580ae3d6c5",
   "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": [
       "{'Hellebore flowers': 7.141724154280382e-07,\n",
       " 'Peoneis flowers': 1.4747066643394646e-06,\n",
       " 'Rose flowers': 6.034231887497299e-07,\n",
       " 'Sunflower': 0.9999972581863403}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "def classify_image(img):\n",
    "    predict, idx, probs = learn.predict(img)\n",
    "    categories = learn.dls.vocab\n",
    "    return dict(zip(categories,map(float,probs)))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1020b745-5352-4874-92d2-a1ecdedf1e20",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_297/535013132.py:2: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  image = gr.inputs.Image(shape=(192,192))\n",
      "/tmp/ipykernel_297/535013132.py:2: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  image = gr.inputs.Image(shape=(192,192))\n",
      "/tmp/ipykernel_297/535013132.py:3: GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
      "  label = gr.outputs.Label()\n",
      "/tmp/ipykernel_297/535013132.py:3: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
      "  label = gr.outputs.Label()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7862\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.inputs.Image(shape=(192,192))\n",
    "label = gr.outputs.Label()\n",
    "examples = [\"sunflower.jpg\",\"Peonies.jpeg\",\"Hellebore.jpg\",\"Rose.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": 21,
   "id": "87c95918-a681-4c3f-9882-b6d80d586444",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'notebook2script' from 'nbdev.export' (/root/mambaforge/lib/python3.10/site-packages/nbdev/export.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnbdev\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexport\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m notebook2script\n\u001b[1;32m      2\u001b[0m notebook2script(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtesting.ipynb\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[0;31mImportError\u001b[0m: cannot import name 'notebook2script' from 'nbdev.export' (/root/mambaforge/lib/python3.10/site-packages/nbdev/export.py)"
     ]
    }
   ],
   "source": [
    "from nbdev.export import notebook2script\n",
    "notebook2script('testing.ipynb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d9c38fb9-56a7-4646-bec5-e3055625e668",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/mambaforge/lib/python3.10/site-packages/nbdev/export.py:54: UserWarning: Notebook 'testing.ipynb' uses `#|export` without `#|default_exp` cell.\n",
      "Note nbdev2 no longer supports nbdev1 syntax. Run `nbdev_migrate` to upgrade.\n",
      "See https://nbdev.fast.ai/getting_started.html for more information.\n",
      "  warn(f\"Notebook '{nbname}' uses `#|export` without `#|default_exp` cell.\\n\"\n"
     ]
    }
   ],
   "source": [
    "import nbdev\n",
    "nbdev.export.nb_export('testing.ipynb', 'newapp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78cd66aa-f88b-4ec1-a006-741599774cb5",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}