{
"cells": [
{
"cell_type": "code",
"execution_count": 28,
"id": "1253ea47-8c06-4ab6-901b-3e66766fecd5",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "ccc42476-45dc-4f1d-a60e-ea79eb589c49",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#|export\n",
"from fastai.vision.all import *\n",
"import gradio as gr\n",
"\n",
"def is_cat(x): return x[0].isupper()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "12b309f9-2247-4684-a929-4c54e3f4cc21",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"PILImage mode=RGB size=192x144"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"im = PILImage.create('dog.jpeg')\n",
"im.thumbnail((192,192))\n",
"im"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "092956c1-7cea-4950-a6ff-407bda7d67ef",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#|export\n",
"learn = load_learner('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "f94f2c9c-421b-47dc-abe4-07cdf596dd5c",
"metadata": {
"tags": []
},
"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', tensor(0), tensor([9.9996e-01, 4.4718e-05]))"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"learn.predict(im)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "6cbc1634-e29d-4f19-bd83-9245fcaf22d6",
"metadata": {
"tags": []
},
"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": 21,
"id": "364803d8-e5d5-44ab-bd78-fbfcd18d09f2",
"metadata": {
"tags": []
},
"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': 0.9999552965164185, 'Cat': 4.471837019082159e-05}"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classify_image(im)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "7618fcdf-17b9-4f74-b298-445c9d5f2aec",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/zohairy/miniconda3/envs/mlm2/lib/python3.11/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",
"/Users/zohairy/miniconda3/envs/mlm2/lib/python3.11/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
" warnings.warn(value)\n",
"/Users/zohairy/miniconda3/envs/mlm2/lib/python3.11/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",
"/Users/zohairy/miniconda3/envs/mlm2/lib/python3.11/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": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#|export\n",
"image = gr.inputs.Image(shape=(192, 192))\n",
"label = gr.outputs.Label()\n",
"examples = ['dog.jpeg', 'cat.jpeg', 'unknown.jpeg']\n",
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
"intf.launch(inline=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "83fcbec5-7593-4005-8b88-429962b68ce1",
"metadata": {},
"outputs": [],
"source": [
"m = learn.model"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "cd42574d-c123-4cb1-ad91-8ac658921c2a",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Export successful\n"
]
}
],
"source": [
"\n",
"import nbdev\n",
"nbdev.export.nb_export('app.ipynb', 'app')\n",
"print('Export successful')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "db6c99e7-a560-4a14-bc97-92d2a09952ad",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}