{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d2c2b738",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b92d24f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# search_terms = ('hard hat','construction gloves','safety glasses','construction boots', 'screw driver','hammer','f150')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "34ebdca4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# path = Path('construction_photos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "04347f65",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dls = DataBlock(\n",
    "#     blocks=(ImageBlock,CategoryBlock),\n",
    "#     getters=None,\n",
    "#     n_inp=None,\n",
    "#     item_tfms=[Resize(224,method='squish')],\n",
    "#     get_items=get_image_files,\n",
    "#     splitter=RandomSplitter(seed=42),\n",
    "#     get_y=parent_label,\n",
    "# ).dataloaders(path,bs=128)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "85098e65",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = load_learner('construction_things.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a6ed198b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def classify_image(img):\n",
    "    pred,idx,probs = learn.predict(img)\n",
    "    return dict(zip(dls.vocab,map(float,probs)))\n",
    "# classify_image(get_image_files(path)[100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b2f582a8",
   "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/plain": [
       "(<fastapi.applications.FastAPI at 0x7ff6a8761430>,\n",
       " 'http://127.0.0.1:7860/',\n",
       " None)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = gr.inputs.Image(shape=(192,192))\n",
    "label = gr.outputs.Label()\n",
    "interface = gr.Interface(fn=classify_image,inputs=image,outputs=label)\n",
    "# interface.launch(inline=True)\n",
    "interface.launch(inline=False)"
   ]
  }
 ],
 "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": "3.9.7"
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 },
 "nbformat": 4,
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}