Update app.ipynb

app.ipynb

@@ -0,0 +1,340 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !pip install fastai\n",
+    "# !pip install gradio\n",
+    "# !pip install timm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai.vision.all import *\n",
+    "import gradio as gr\n",
+    "import pathlib\n",
+    "pathlib.PosixPath = pathlib.WindowsPath\n",
+    "import timm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# temp = pathlib.PosixPath\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "PILImage mode=RGB size=192x192"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "im = PILImage.create('Benign1.jpg')\n",
+    "im.thumbnail((192,192))\n",
+    "im"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "learn = load_learner('export.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('benign', tensor(0), tensor([0.8787, 0.1213]))"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "learn.predict(im)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "categories = ('Benign', 'Malignant')\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": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Benign': 0.8787491321563721, 'Malignant': 0.12125089019536972}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "classify_image(im)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\ntram\\Anaconda3\\lib\\site-packages\\gradio\\inputs.py:259: 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",
+      "c:\\Users\\ntram\\Anaconda3\\lib\\site-packages\\gradio\\inputs.py:262: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "  super().__init__(\n",
+      "c:\\Users\\ntram\\Anaconda3\\lib\\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",
+      "c:\\Users\\ntram\\Anaconda3\\lib\\site-packages\\gradio\\outputs.py:200: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
+      "  super().__init__(num_top_classes=num_top_classes, type=type, label=label)\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": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
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+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      \n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      \n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "image = gr.inputs.Image(shape=(192,192))\n",
+    "label = gr.outputs.Label()\n",
+    "examples = ['Benign1.jpg','Benign2.jpg','Benign3.jpg', 'Malignant1.jpg', 'Malignant2.jpg', 'Malignant3.jpg']\n",
+    "\n",
+    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
+    "intf.launch(inline=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.9.13"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}