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   "source": [
    "import gradio as gr\n",
    "from fastai.vision.all import *"
   ]
  },
  {
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   "execution_count": 3,
   "id": "accabd51-74ca-4852-b0ef-8b896d4e90d3",
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    "def breed_name(x):\n",
    "    return ''.join([char for char in x if not char.isdigit()][:-5])\n",
    "learn = load_learner('pet_breeds.pkl')"
   ]
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   "source": [
    "labels = learn.dls.vocab\n",
    "def predict(img):\n",
    "    img = PILImage.create(img)\n",
    "    pred,pred_idx,probs = learn.predict(img)\n",
    "    return {labels[i]: float(probs[i]) for i in range(len(labels))}"
   ]
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      "Running on local URL:  http://127.0.0.1:7860\n",
      "Running on public URL: https://cfc020d066f0b2c918.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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    "gr.Interface(fn=predict,\n",
    "             inputs=gr.components.Image(height=512, width=512),\n",
    "             outputs=gr.components.Label(num_top_classes=3),\n",
    "             title='What breed is it ?',\n",
    "             description='A pet breeds classifier',\n",
    "             article=\"<p style='text-align: center'><a href='https://www.tanishq.ai/blog/posts/2021-11-16-gradio-huggingface.html' target='_blank'>Reference</a></p>\",\n",
    "             examples=['keeshond.jpeg', 'maine_coon.jpeg']\n",
    "            ).launch(share=True)"
   ]
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