diff --git "a/app.ipynb" "b/app.ipynb"
--- "a/app.ipynb"
+++ "b/app.ipynb"
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "b0d51b0e",
    "metadata": {},
    "outputs": [],
@@ -24,31 +24,78 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 61,
    "id": "0253652f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "PILImage mode=RGB size=192x128"
+       "PILImage mode=RGB size=192x145"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "im = PILImage.create('bench_press.jpg')\n",
+    "im = PILImage.create('leg_glance2.jpg')\n",
     "im.thumbnail((192,192))\n",
     "im"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 39,
+   "id": "41e52ca1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def search_images(term, max_images=30):\n",
+    "#     url = 'https://duckduckgo.com/'\n",
+    "#     res = urlread(url,data={'q':term})\n",
+    "#     searchObj = re.search(r'vqd=([\\d-]+)\\&', res)\n",
+    "#     requestUrl = url + 'i.js'\n",
+    "#     params = dict(l='us-en', o='json', q=term, vqd=searchObj.group(1), f=',,,', p='1', v7exp='a')\n",
+    "#     urls,data = set(),{'next':1}\n",
+    "#     while len(urls)<max_images and 'next' in data:\n",
+    "#         data = urljson(requestUrl,data=params)\n",
+    "#         urls.update(L(data['results']).itemgot('image'))\n",
+    "#         requestUrl = url + data['next']\n",
+    "#         time.sleep(0.2)\n",
+    "#     return L(urls)[:max_images]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "64432790",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# searches = 'sweep shot cricket', 'pull shot cricket'\n",
+    "# dl_path = Path('./images/cover_drive/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "f0f9a200",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for o in searches:\n",
+    "#     dest = (dl_path/o)\n",
+    "#     dest.mkdir(exist_ok=True, parents=True)\n",
+    "#     download_images(dest, urls=search_images(f'{o} photo'))\n",
+    "#     resize_images(dl_path/o, max_size=400, dest=dl_path/o)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
    "id": "daa84358",
    "metadata": {},
    "outputs": [],
@@ -59,13 +106,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 44,
    "id": "11d1aebe",
    "metadata": {},
    "outputs": [],
    "source": [
     "#|export\n",
-    "categories = ('person bench pressing','person overhead pressing', 'person deadlifting', 'person lateral raising', 'person bent over row', 'person barbell squatting')\n",
+    "categories = (\"off side\", \"on side\")\n",
     "\n",
     "def classify_image(img):\n",
     "    pred,idx,probs = learn.predict(img)\n",
@@ -74,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 62,
    "id": "3a193e0a",
    "metadata": {},
    "outputs": [
@@ -115,15 +162,10 @@
     {
      "data": {
       "text/plain": [
-       "{'person bench pressing': 0.2406989336013794,\n",
-       " 'person overhead pressing': 0.6591675281524658,\n",
-       " 'person deadlifting': 0.003008909523487091,\n",
-       " 'person lateral raising': 0.019873008131980896,\n",
-       " 'person bent over row': 0.04267449676990509,\n",
-       " 'person barbell squatting': 0.0345771498978138}"
+       "{'off side': 0.0009938485454767942, 'on side': 0.9990062117576599}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -134,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 16,
    "id": "2789ad64",
    "metadata": {},
    "outputs": [
@@ -150,14 +192,464 @@
     {
      "data": {
       "text/plain": [
-       "(<fastapi.applications.FastAPI at 0x7f0f9e7aa0d0>,\n",
+       "(<fastapi.applications.FastAPI at 0x7fe71b10a100>,\n",
        " 'http://127.0.0.1:7860/',\n",
        " None)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ERROR:    Exception in ASGI application\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 318, in __call__\n",
+      "    stat_result = await anyio.to_thread.run_sync(os.stat, self.path)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "FileNotFoundError: [Errno 2] No such file or directory: '/mnt/z/Documents1/Repositories/onside_offside_shot_detector/bench_press.jpg'\n",
+      "\n",
+      "During handling of the above exception, another exception occurred:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py\", line 366, in run_asgi\n",
+      "    result = await app(self.scope, self.receive, self.send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/middleware/proxy_headers.py\", line 75, in __call__\n",
+      "    return await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/applications.py\", line 269, in __call__\n",
+      "    await super().__call__(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/applications.py\", line 124, in __call__\n",
+      "    await self.middleware_stack(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 184, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 162, in __call__\n",
+      "    await self.app(scope, receive, _send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/cors.py\", line 84, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 93, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 82, in __call__\n",
+      "    await self.app(scope, receive, sender)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
+      "    raise e\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 670, in __call__\n",
+      "    await route.handle(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 266, in handle\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 68, in app\n",
+      "    await response(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 321, in __call__\n",
+      "    raise RuntimeError(f\"File at path {self.path} does not exist.\")\n",
+      "RuntimeError: File at path /mnt/z/Documents1/Repositories/onside_offside_shot_detector/bench_press.jpg does not exist.\n",
+      "ERROR:    Exception in ASGI application\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 318, in __call__\n",
+      "    stat_result = await anyio.to_thread.run_sync(os.stat, self.path)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "FileNotFoundError: [Errno 2] No such file or directory: '/mnt/z/Documents1/Repositories/onside_offside_shot_detector/deadlift.jpg'\n",
+      "\n",
+      "During handling of the above exception, another exception occurred:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py\", line 366, in run_asgi\n",
+      "    result = await app(self.scope, self.receive, self.send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/middleware/proxy_headers.py\", line 75, in __call__\n",
+      "    return await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/applications.py\", line 269, in __call__\n",
+      "    await super().__call__(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/applications.py\", line 124, in __call__\n",
+      "    await self.middleware_stack(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 184, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 162, in __call__\n",
+      "    await self.app(scope, receive, _send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/cors.py\", line 84, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 93, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 82, in __call__\n",
+      "    await self.app(scope, receive, sender)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
+      "    raise e\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 670, in __call__\n",
+      "    await route.handle(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 266, in handle\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 68, in app\n",
+      "    await response(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 321, in __call__\n",
+      "    raise RuntimeError(f\"File at path {self.path} does not exist.\")\n",
+      "RuntimeError: File at path /mnt/z/Documents1/Repositories/onside_offside_shot_detector/deadlift.jpg does not exist.\n",
+      "ERROR:    Exception in ASGI application\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 318, in __call__\n",
+      "    stat_result = await anyio.to_thread.run_sync(os.stat, self.path)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "FileNotFoundError: [Errno 2] No such file or directory: '/mnt/z/Documents1/Repositories/onside_offside_shot_detector/lateral_raise.jpg'\n",
+      "\n",
+      "During handling of the above exception, another exception occurred:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py\", line 366, in run_asgi\n",
+      "    result = await app(self.scope, self.receive, self.send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/uvicorn/middleware/proxy_headers.py\", line 75, in __call__\n",
+      "    return await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/applications.py\", line 269, in __call__\n",
+      "    await super().__call__(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/applications.py\", line 124, in __call__\n",
+      "    await self.middleware_stack(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 184, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/errors.py\", line 162, in __call__\n",
+      "    await self.app(scope, receive, _send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/middleware/cors.py\", line 84, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 93, in __call__\n",
+      "    raise exc\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/exceptions.py\", line 82, in __call__\n",
+      "    await self.app(scope, receive, sender)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 21, in __call__\n",
+      "    raise e\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/fastapi/middleware/asyncexitstack.py\", line 18, in __call__\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 670, in __call__\n",
+      "    await route.handle(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 266, in handle\n",
+      "    await self.app(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/routing.py\", line 68, in app\n",
+      "    await response(scope, receive, send)\n",
+      "  File \"/home/zac-ubuntu-wsl/mambaforge/lib/python3.9/site-packages/starlette/responses.py\", line 321, in __call__\n",
+      "    raise RuntimeError(f\"File at path {self.path} does not exist.\")\n",
+      "RuntimeError: File at path /mnt/z/Documents1/Repositories/onside_offside_shot_detector/lateral_raise.jpg does not exist.\n"
+     ]
+    },
+    {
+     "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "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-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": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [