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{
"cells": [
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"\n",
"def is_cat(x):\n",
" return x[0].isupper()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"\n",
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"#|export\n",
"\n",
"categories = ('Dog', 'Cat')\n",
"\n",
"def classify_image(img):\n",
" pred, idx, probs = learn.predict(img)\n",
" return dict(zip(categories, map(float, probs)))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_232403/3480190996.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",
" image = gr.inputs.Image(shape=(192, 192))\n",
"/tmp/ipykernel_232403/3480190996.py:3: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
" image = gr.inputs.Image(shape=(192, 192))\n",
"/tmp/ipykernel_232403/3480190996.py:4: 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_232403/3480190996.py:4: 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://127.0.0.1:7860\n",
"IMPORTANT: You are using gradio version 3.43.0, however version 4.29.0 is available, please upgrade.\n",
"--------\n",
"Running on public URL: https://1ff37f198fe37a32c2.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"
]
},
{
"data": {
"text/plain": []
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#|export\n",
"\n",
"image = gr.inputs.Image(shape=(192, 192))\n",
"label = gr.outputs.Label()\n",
"examples = ['dog.jpg', 'cat.jpg', 'beagle.jpg']\n",
"\n",
"interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
"interface.launch(inline=False, share=True)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"import nbdev\n",
"\n",
"nbdev.export.nb_export('app.ipynb')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": 2
}
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