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  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b1b65d61",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "from fastai.vision.all import *\n",
    "temp = pathlib.PosixPath\n",
    "pathlib.PosixPath = pathlib.WindowsPath\n",
    "learn = load_learner('BreedModel.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "081c71b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "categories = learn.dls.vocab\n",
    "def classify_image(img):\n",
    "    pred,pred_idx,probs = learn.predict(img)\n",
    "    return {categories[i]: float(probs[i]) for i in range(len(categories))}"
   ]
  },
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      "C:\\Users\\57310\\AppData\\Local\\Temp/ipykernel_26988/2842739511.py:3: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)\n",
      "C:\\Users\\57310\\AppData\\Local\\Temp/ipykernel_26988/2842739511.py:3: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)\n",
      "C:\\Users\\57310\\AppData\\Local\\Temp/ipykernel_26988/2842739511.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",
      "  gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)\n",
      "C:\\Users\\57310\\AppData\\Local\\Temp/ipykernel_26988/2842739511.py:3: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
      "  gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)\n"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "Running on local URL:  http://127.0.0.1:7860\n",
      "Running on public URL: https://0c0b6c90e0e6b4495b.gradio.live\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
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       "    /* Turns off some styling */\n",
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       "        border: none;\n",
       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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   ],
   "source": [
    "import gradio as gr\n",
    "examples = 'Hasso'\n",
    "gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)"
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