{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "72975637-18cc-468b-b98e-f449862b6855",
"metadata": {},
"outputs": [],
"source": [
"#/export\n",
"from fastai.vision.all import *\n",
"import gradio as gr\n",
"\n",
"def is_cat(x): \n",
" return x[0].isupper()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b5d63310-b825-4093-bbf8-d1f2c093730a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PILImage mode=RGB size=192x144"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"im = PILImage.create('dog.jpg')\n",
"im.thumbnail((192, 192))\n",
"im"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a4a8c83a-a370-496e-9a09-d6c2c8e21b6d",
"metadata": {},
"outputs": [],
"source": [
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "193d55c1-7136-45a7-80d7-8ad21d9a9f44",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"('False', TensorBase(0), TensorBase([9.9999e-01, 6.1522e-06]))"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"learn.predict(im)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "6a5b71f3-257b-4572-9dab-6efaa9e6f583",
"metadata": {},
"outputs": [],
"source": [
"#/export\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": 7,
"id": "e39424ca-3f08-4bea-9459-817fc9cd94a8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"{'Dog': 0.9999938011169434, 'Cat': 6.1521950556198135e-06}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classify_image(im)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b9baff64-68a1-41ca-b17f-7e7a854320af",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/rekha/mambaforge/lib/python3.10/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
" warnings.warn(\n",
"/home/rekha/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
" warnings.warn(value)\n",
"/home/rekha/mambaforge/lib/python3.10/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
" warnings.warn(\n",
"/home/rekha/mambaforge/lib/python3.10/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
" warnings.warn(value)\n"
]
},
{
"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": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#/export\n",
"image = gr.inputs.Image(shape=(192, 192))\n",
"label = gr.outputs.Label()\n",
"examples = ['dog.jpg', 'cat.jpg']\n",
"\n",
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
"intf.launch(inline=False)"
]
},
{
"cell_type": "markdown",
"id": "d8e69e4a-bddc-4f8a-8154-ab6df941bcc8",
"metadata": {},
"source": [
"## export"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "ba65060f-2a05-4ec0-b450-6b4e0aa80928",
"metadata": {},
"outputs": [],
"source": [
"import nbdev\n",
"nbdev.export.nb_export('app.ipynb', 'app')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f28a3344-7023-47a5-87a9-326d4466b698",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.11.1 (tags/v3.11.1:a7a450f, Dec 6 2022, 19:58:39) [MSC v.1934 64 bit (AMD64)]"
},
"vscode": {
"interpreter": {
"hash": "b83a4e12defeb0c644a1c290b8b6674e7230072f2fd172fa6aec27dc3ac83ce6"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}