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"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"source": [
"!pip install -Uqq fastai gradio nbdev"
],
"metadata": {
"id": "LyRA7KSuOt6f"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "P9petL8cIBXd"
},
"outputs": [],
"source": [
"#|default_exp app"
]
},
{
"cell_type": "code",
"source": [
"#|export\n",
"from fastai.vision.all import *\n",
"import gradio as gr"
],
"metadata": {
"id": "6olANYYvILjT"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"im = PILImage.create('garamond.png')\n",
"im.thumbnail((192, 192))\n",
"im"
],
"metadata": {
"id": "JNb8CfVCRM3C"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#|export\n",
"learn = load_learner('model.pkl')"
],
"metadata": {
"id": "FFxZjXWrP-Fg"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"learn.predict(im)"
],
"metadata": {
"id": "gA5vqoTISPVL"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#|export\n",
"categories = ('Garamond', 'Helvetica')\n",
"\n",
"def classify_image(img):\n",
" pred, idx, probs = learn.predict(img)\n",
" return dict(zip(categories, map(float, probs)))"
],
"metadata": {
"id": "bScV4g0eQUgh"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"classify_image(im)"
],
"metadata": {
"id": "_yMhyT_hSXt0"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#|export\n",
"image = gr.inputs.Image(shape=(192, 192))\n",
"label = gr.outputs.Label()\n",
"examples = ['garamond.png', 'helvetica.png']\n",
"\n",
"intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
"intf.launch(inline=False)"
],
"metadata": {
"id": "BTRZvR-3SdRp"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Export"
],
"metadata": {
"id": "BtgbVjRtTTqB"
}
},
{
"cell_type": "code",
"source": [
"import nbdev"
],
"metadata": {
"id": "_wNIvDXSTUwC"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"nbdev.export.nb_export('app.ipynb', 'app')"
],
"metadata": {
"id": "CMlwAQz0Taj0"
},
"execution_count": null,
"outputs": []
}
]
} |