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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "27c92395-9f07-4383-9526-58363a090f46",
"metadata": {},
"outputs": [],
"source": [
"from fastai.vision.all import *\n",
"import gradio as gr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a8969a2b-13c0-496d-918b-179bcd1ad7b8",
"metadata": {},
"outputs": [],
"source": [
"def is_cat(x): return x[0].isupper()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "407054be-12ef-40f0-860f-856e8a835a5e",
"metadata": {},
"outputs": [],
"source": [
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "51f3903e-55c2-476e-96f9-ece20e49915c",
"metadata": {},
"outputs": [],
"source": [
"categories = ('Dog', 'Cat')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3067fd5b-4872-4a0b-94bb-3a245129f340",
"metadata": {},
"outputs": [],
"source": [
"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,
"id": "f285720c-a8d3-46ba-80e9-8e5ef79ec4ec",
"metadata": {},
"outputs": [],
"source": [
"image = gr.Image(height=192, width=192)\n",
"label = gr.Label()\n",
"examples = ['dog.jpg', 'cat.jpg']"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9ae63726-4b8b-4d9c-9a95-a18e9ffe61ab",
"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": []
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/html": [],
"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": [
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
"intf.launch(inline=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python (base)",
"language": "python",
"name": "base"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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