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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "  Using cached aiofiles-23.1.0-py3-none-any.whl (14 kB)\n",
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+      "Requirement already satisfied: packaging in /Users/alex/Library/Python/3.9/lib/python/site-packages (from gradio-client>=0.2.4->gradio) (23.1)\n",
+      "Collecting fsspec\n",
+      "  Downloading fsspec-2023.5.0-py3-none-any.whl (160 kB)\n",
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+      "  Using cached attrs-23.1.0-py3-none-any.whl (61 kB)\n",
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+      "  Downloading pyrsistent-0.19.3-cp39-cp39-macosx_10_9_universal2.whl (82 kB)\n",
+      "\u001b[K     |████████████████████████████████| 82 kB 758 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting mdurl~=0.1\n",
+      "  Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)\n",
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+      "\u001b[?25h  Downloading mdit_py_plugins-0.2.6-py3-none-any.whl (39 kB)\n",
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+      "  Downloading mdit_py_plugins-0.1.0-py3-none-any.whl (37 kB)\n",
+      "INFO: pip is looking at multiple versions of linkify-it-py to determine which version is compatible with other requirements. This could take a while.\n",
+      "Collecting linkify-it-py<3,>=1\n",
+      "  Downloading linkify_it_py-2.0.1-py3-none-any.whl (19 kB)\n",
+      "  Downloading linkify_it_py-2.0.0-py3-none-any.whl (19 kB)\n",
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+      "  Downloading linkify_it_py-1.0.1-py3-none-any.whl (19 kB)\n",
+      "  Downloading linkify_it_py-1.0.0-py3-none-any.whl (19 kB)\n",
+      "INFO: pip is looking at multiple versions of markdown-it-py[linkify] to determine which version is compatible with other requirements. This could take a while.\n",
+      "Collecting markdown-it-py[linkify]>=2.0.0\n",
+      "  Using cached markdown_it_py-2.2.0-py3-none-any.whl (84 kB)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from pandas->gradio) (2023.3)\n",
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+      "Requirement already satisfied: click>=7.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from uvicorn>=0.14.0->gradio) (8.1.3)\n",
+      "Collecting h11>=0.8\n",
+      "  Using cached h11-0.14.0-py3-none-any.whl (58 kB)\n",
+      "Collecting yarl<2.0,>=1.0\n",
+      "  Downloading yarl-1.9.2-cp39-cp39-macosx_10_9_x86_64.whl (65 kB)\n",
+      "\u001b[K     |████████████████████████████████| 65 kB 1.3 MB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting async-timeout<5.0,>=4.0.0a3\n",
+      "  Using cached async_timeout-4.0.2-py3-none-any.whl (5.8 kB)\n",
+      "Collecting aiosignal>=1.1.2\n",
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+      "Collecting frozenlist>=1.1.1\n",
+      "  Downloading frozenlist-1.3.3-cp39-cp39-macosx_10_9_x86_64.whl (36 kB)\n",
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+      "Collecting starlette<0.28.0,>=0.27.0\n",
+      "  Using cached starlette-0.27.0-py3-none-any.whl (66 kB)\n",
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+      "  Using cached anyio-3.7.0-py3-none-any.whl (80 kB)\n",
+      "Collecting exceptiongroup\n",
+      "  Using cached exceptiongroup-1.1.1-py3-none-any.whl (14 kB)\n",
+      "Collecting sniffio>=1.1\n",
+      "  Using cached sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
+      "Requirement already satisfied: certifi in /Users/alex/Library/Python/3.9/lib/python/site-packages (from httpx->gradio) (2023.5.7)\n",
+      "Collecting httpcore<0.18.0,>=0.15.0\n",
+      "  Using cached httpcore-0.17.2-py3-none-any.whl (72 kB)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (3.0.9)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (4.39.4)\n",
+      "Requirement already satisfied: cycler>=0.10 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (0.11.0)\n",
+      "Requirement already satisfied: importlib-resources>=3.2.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (5.12.0)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (1.0.7)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from matplotlib->gradio) (1.4.4)\n",
+      "Requirement already satisfied: zipp>=3.1.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from importlib-resources>=3.2.0->matplotlib->gradio) (3.15.0)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from requests->gradio) (2.0.2)\n",
+      "Building wheels for collected packages: ffmpy\n",
+      "  Building wheel for ffmpy (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4710 sha256=c063c529e7b3bfa39c8d478191004af3277823163a4494913ee6e001833e6aba\n",
+      "  Stored in directory: /Users/alex/Library/Caches/pip/wheels/91/e2/96/f676aa08bfd789328c6576cd0f1fde4a3d686703bb0c247697\n",
+      "Successfully built ffmpy\n",
+      "Installing collected packages: sniffio, exceptiongroup, h11, anyio, uc-micro-py, pyrsistent, multidict, mdurl, httpcore, fsspec, frozenlist, attrs, yarl, websockets, toolz, starlette, markdown-it-py, linkify-it-py, jsonschema, huggingface-hub, httpx, async-timeout, aiosignal, uvicorn, semantic-version, python-multipart, pydub, orjson, mdit-py-plugins, gradio-client, ffmpy, fastapi, altair, aiohttp, aiofiles, gradio\n",
+      "Successfully installed aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 altair-5.0.1 anyio-3.7.0 async-timeout-4.0.2 attrs-23.1.0 exceptiongroup-1.1.1 fastapi-0.96.0 ffmpy-0.3.0 frozenlist-1.3.3 fsspec-2023.5.0 gradio-3.33.1 gradio-client-0.2.5 h11-0.14.0 httpcore-0.17.2 httpx-0.24.1 huggingface-hub-0.15.1 jsonschema-4.17.3 linkify-it-py-2.0.2 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 mdurl-0.1.2 multidict-6.0.4 orjson-3.9.0 pydub-0.25.1 pyrsistent-0.19.3 python-multipart-0.0.6 semantic-version-2.10.0 sniffio-1.3.0 starlette-0.27.0 toolz-0.12.0 uc-micro-py-1.0.2 uvicorn-0.22.0 websockets-11.0.3 yarl-1.9.2\n",
+      "\u001b[33mWARNING: You are using pip version 21.2.4; however, version 23.1.2 is available.\n",
+      "You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
+      "Note: you may need to restart the kernel to use updated packages.\n",
+      "Defaulting to user installation because normal site-packages is not writeable\n",
+      "Collecting timm\n",
+      "  Using cached timm-0.9.2-py3-none-any.whl (2.2 MB)\n",
+      "Collecting safetensors\n",
+      "  Downloading safetensors-0.3.1-cp39-cp39-macosx_10_11_x86_64.whl (400 kB)\n",
+      "\u001b[K     |████████████████████████████████| 400 kB 1.5 MB/s eta 0:00:01\n",
+      "\u001b[?25hRequirement already satisfied: pyyaml in /Users/alex/Library/Python/3.9/lib/python/site-packages (from timm) (6.0)\n",
+      "Requirement already satisfied: torch>=1.7 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from timm) (2.0.1)\n",
+      "Requirement already satisfied: huggingface-hub in /Users/alex/Library/Python/3.9/lib/python/site-packages (from timm) (0.15.1)\n",
+      "Requirement already satisfied: torchvision in /Users/alex/Library/Python/3.9/lib/python/site-packages (from timm) (0.15.2)\n",
+      "Requirement already satisfied: typing-extensions in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torch>=1.7->timm) (4.6.3)\n",
+      "Requirement already satisfied: jinja2 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torch>=1.7->timm) (3.1.2)\n",
+      "Requirement already satisfied: networkx in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torch>=1.7->timm) (3.1)\n",
+      "Requirement already satisfied: sympy in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torch>=1.7->timm) (1.12)\n",
+      "Requirement already satisfied: filelock in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torch>=1.7->timm) (3.12.0)\n",
+      "Requirement already satisfied: tqdm>=4.42.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from huggingface-hub->timm) (4.65.0)\n",
+      "Requirement already satisfied: fsspec in /Users/alex/Library/Python/3.9/lib/python/site-packages (from huggingface-hub->timm) (2023.5.0)\n",
+      "Requirement already satisfied: requests in /Users/alex/Library/Python/3.9/lib/python/site-packages (from huggingface-hub->timm) (2.31.0)\n",
+      "Requirement already satisfied: packaging>=20.9 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from huggingface-hub->timm) (23.1)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from jinja2->torch>=1.7->timm) (2.1.3)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from requests->huggingface-hub->timm) (3.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from requests->huggingface-hub->timm) (2023.5.7)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from requests->huggingface-hub->timm) (3.1.0)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from requests->huggingface-hub->timm) (2.0.2)\n",
+      "Requirement already satisfied: mpmath>=0.19 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from sympy->torch>=1.7->timm) (1.3.0)\n",
+      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torchvision->timm) (9.5.0)\n",
+      "Requirement already satisfied: numpy in /Users/alex/Library/Python/3.9/lib/python/site-packages (from torchvision->timm) (1.24.3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install fastai\n",
+    "%pip install gradio\n",
+    "%pip install timm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai.vision.all import *\n",
+    "import gradio as gr\n",
+    "import pathlib\n",
+    "import pathlib\n",
+    "temp = pathlib.PosixPath\n",
+    "pathlib.PosixPath = pathlib.WindowsPath\n",
+    "import timm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "FileNotFoundError",
+     "evalue": "[Errno 2] No such file or directory: 'Benign1.jpg'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m/var/folders/gm/h3z3dxv12z73tt5_q7j7kc6h0000gn/T/ipykernel_97601/3272737616.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPILImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Benign1.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthumbnail\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m192\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m192\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/fastai/vision/core.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(cls, fn, **kwargs)\u001b[0m\n\u001b[1;32m    123\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mbytes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    124\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 125\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmerge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_open_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mctx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/fastai/vision/core.py\u001b[0m in \u001b[0;36mload_image\u001b[0;34m(fn, mode)\u001b[0m\n\u001b[1;32m     96\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     97\u001b[0m     \u001b[0;34m\"Open and load a `PIL.Image` and convert to `mode`\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 98\u001b[0;31m     \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     99\u001b[0m     \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m     \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_new\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/PIL/Image.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(fp, mode, formats)\u001b[0m\n\u001b[1;32m   3234\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3235\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3236\u001b[0;31m         \u001b[0mfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuiltins\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3237\u001b[0m         \u001b[0mexclusive_fp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'Benign1.jpg'"
+     ]
+    }
+   ],
+   "source": [
+    " # im = PILImage.create('Benign1.jpg')\n",
+    " #  im.thumbnail((192,192))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NotImplementedError",
+     "evalue": "cannot instantiate 'WindowsPath' on your system",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m/var/folders/gm/h3z3dxv12z73tt5_q7j7kc6h0000gn/T/ipykernel_97601/243768304.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlearn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_learner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'export.pkl'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/fastai/learner.py\u001b[0m in \u001b[0;36mload_learner\u001b[0;34m(fname, cpu, pickle_module)\u001b[0m\n\u001b[1;32m    444\u001b[0m     \u001b[0mdistrib_barrier\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    445\u001b[0m     \u001b[0mmap_loc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'cpu'\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcpu\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mdefault_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 446\u001b[0;31m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmap_location\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmap_loc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpickle_module\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpickle_module\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    447\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m         \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34mf\"Custom classes or functions exported with your `Learner` not available in namespace.\\Re-declare/import before loading:\\n\\t{e.args[0]}\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/torch/serialization.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(f, map_location, pickle_module, weights_only, **pickle_load_args)\u001b[0m\n\u001b[1;32m    787\u001b[0m                     \u001b[0;32mexcept\u001b[0m \u001b[0mRuntimeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    788\u001b[0m                         \u001b[0;32mraise\u001b[0m \u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mUnpicklingError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mUNSAFE_MESSAGE\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 789\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0m_load\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopened_zipfile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmap_location\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpickle_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mpickle_load_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    790\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mweights_only\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    791\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/torch/serialization.py\u001b[0m in \u001b[0;36m_load\u001b[0;34m(zip_file, map_location, pickle_module, pickle_file, **pickle_load_args)\u001b[0m\n\u001b[1;32m   1129\u001b[0m     \u001b[0munpickler\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mUnpicklerWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mpickle_load_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1130\u001b[0m     \u001b[0munpickler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpersistent_load\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpersistent_load\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1131\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munpickler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1133\u001b[0m     \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_loaded_sparse_tensors\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/pathlib.py\u001b[0m in \u001b[0;36m__new__\u001b[0;34m(cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1023\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_flavour\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_supported\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1024\u001b[0m             raise NotImplementedError(\"cannot instantiate %r on your system\"\n\u001b[0;32m-> 1025\u001b[0;31m                                       % (cls.__name__,))\n\u001b[0m\u001b[1;32m   1026\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNotImplementedError\u001b[0m: cannot instantiate 'WindowsPath' on your system"
+     ]
+    }
+   ],
+   "source": [
+    "learn = load_learner('export.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": null,
+   "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": null,
+   "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": null,
+   "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",
+       "    }\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",
+       "    }\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"
+    },
+    {
+     "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": "3.7.6"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.py

@@ -0,0 +1,19 @@
+from fastai.vision.all import *
+import gradio as gr
+learn = load_learner('export.pkl')
+
+categories = ('Benign', 'Malignant')
+
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['Benign 1.jpg','Benign 2.jpg','Benign 3.jpg', 'Malignant 1.jpg', 
+            'Malignant 2.jpg', 'Malignant 3.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c37c0fa197275edbce8064b4e237dfaf1578b00782a22dcd8f1e352ecee96f9f
+size 64637257

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+timm