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painting_style_classifier.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai2.vision.all import *\n",
+    "from fastai2.vision.widgets import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Painting Style Classifier**\n",
+    "This is a painting style classifier which distinguishes a painting into 'Surrealism', 'Expressionism', 'Mughal miniature', 'Madhubani', 'Cubism' based on fastai2."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path = Path()\n",
+    "learn_inf = load_learner(path/'export.pkl', cpu=True)\n",
+    "btn_upload = widgets.FileUpload()\n",
+    "out_pl = widgets.Output()\n",
+    "lbl_pred = widgets.Label()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def on_click(change):\n",
+    "    img = PILImage.create(btn_upload.data[-1])\n",
+    "    out_pl.clear_output()\n",
+    "    with out_pl: display(img.to_thumb(128,128))\n",
+    "    pred, pred_idx, probs = learn_inf.predict(img)\n",
+    "    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "btn_upload.observe(on_click, names=['data'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "display(VBox([widgets.Label('Select your painting'), btn_upload, out_pl, lbl_pred]))"
+   ]
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}