diff --git a/conda/torch_snippets/meta.yaml b/conda/torch_snippets/meta.yaml
index bf9be58..0c9ce13 100644
--- a/conda/torch_snippets/meta.yaml
+++ b/conda/torch_snippets/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: torch_snippets
-  version: 0.499.33
+  version: 0.499.34
 source:
-  sha256: 600a4e6ab5d8539f94ceebcc82180eda82dfbce57e081230788a2595a9d0462d
-  url: https://files.pythonhosted.org/packages/3f/bb/c2ccb89e806ea62339f164be9fd9a5d3fa791312b0a0ec559807ceffec8f/torch_snippets-0.499.33.tar.gz
+  sha256: 9fb11abf70db9855972d92d0c2185e29c8cbf08f8bca30fb4aea080f282955e9
+  url: https://files.pythonhosted.org/packages/c5/fd/31535a73899128862b6a9b53b4f1fcb079bbbb7c0026ca27fdb241b6b396/torch_snippets-0.499.34.tar.gz
 about:
   description: "# Utilities for simple needs\n\n\n\n## torch snippets does a lot of\
     \ default importing for you\nWhether it is numpy, pandas, matplotlib or the useful\
diff --git a/nbs/adapters.ipynb b/nbs/adapters.ipynb
index ef1f131..7c7e0f6 100644
--- a/nbs/adapters.ipynb
+++ b/nbs/adapters.ipynb
@@ -108,7 +108,7 @@
     "    df[\"@source\"] = \"manual\"\n",
     "    df[\"@z_order\"] = \"0\"\n",
     "    if \"text\" in df.columns:\n",
-    "        df[\"attribute\"] = [[{\"@name\": \"OCR\", \"#text\": text}] for text in df[\"text\"]]\n",
+    "        df[\"attribute\"] = [[{\"@name\": \"OCR\", \"#text\": text if text==text else ''}] for text in df[\"text\"]]\n",
     "    df.drop(\n",
     "        [\n",
     "            c\n",
@@ -269,7 +269,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.15 (default, Nov 24 2022, 09:04:07) \n[Clang 14.0.6 ]"
+   "version": "3.8.15"
   },
   "orig_nbformat": 4,
   "vscode": {
diff --git a/scripts.ipynb b/scripts.ipynb
index acbacf9..4db5a99 100644
--- a/scripts.ipynb
+++ b/scripts.ipynb
@@ -2,17 +2,17 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/23/23 13:16:35] </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">INFO    </span> loaded <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span> lines                                               <a href=\"file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">3918974775.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py#<module>:3\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">&lt;module&gt;:3</span></a>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/25/23 11:37:27] </span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">INFO    </span> loaded <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25</span> lines                                               <a href=\"file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">3918974775.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py#<module>:3\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">&lt;module&gt;:3</span></a>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[06/23/23 13:16:35]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m loaded \u001b[1;36m25\u001b[0m lines                                               \u001b]8;id=401283;file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py\u001b\\\u001b[2m3918974775.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=811426;file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py#<module>:3\u001b\\\u001b[2m<module>:3\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[06/25/23 11:37:27]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m loaded \u001b[1;36m25\u001b[0m lines                                               \u001b]8;id=666865;file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py\u001b\\\u001b[2m3918974775.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=546617;file:///var/folders/cp/1fbgq2n922j8ztdsq6551vldkr5sdy/T/ipykernel_48752/3918974775.py#<module>:3\u001b\\\u001b[2m<module>:3\u001b[0m\u001b]8;;\u001b\\\n"
       ]
      },
      "metadata": {},
@@ -21,10 +21,10 @@
     {
      "data": {
       "text/plain": [
-       "'0.499.32'"
+       "'0.499.33'"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -58,7 +58,246 @@
       "---\n",
       "\n",
       "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
-      "^C\n"
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.paths import writelines, readlines\n",
+      "\n",
+      "writelines('''[project]\n",
+      "version = 0.0.1\n",
+      "name = mnist\n",
+      "root = /home/me/projects/${project.name}\n",
+      "\n",
+      "[project.data]\n",
+      "source = https://files.fast.ai/data/examples/mnist_tiny.tgz\n",
+      "root = ${project.root}/data/\n",
+      "\n",
+      "[test]\n",
+      "@test_func = hello'''.split('\\n'), '/tmp/config.ini')\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.registry import parse\n",
+      "config = parse(\"/tmp/config.ini\")\n",
+      "assert config.project.version == \"0.0.1\"\n",
+      "assert config.project.root == '/home/me/projects/mnist'\n",
+      "config.pretty()\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.registry import registry\n",
+      "\n",
+      "registry.create(\"test_func\")\n",
+      "\n",
+      "@registry.test_func.register(\"hello\")\n",
+      "def test():\n",
+      "    return lambda: \"hello world\"\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.registry import parse_and_resolve\n",
+      "config = parse_and_resolve(\"/tmp/config.ini\")\n",
+      "assert config.test() == \"hello world\"\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "#| echo: false\n",
+      "#| output: asis\n",
+      "from nbdev import show_doc\n",
+      "from torch_snippets import AttrDict\n",
+      "show_doc(AttrDict)\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from sklearn.datasets import load_iris\n",
+      "from sklearn.model_selection import train_test_split\n",
+      "\n",
+      "data = load_iris()\n",
+      "X, y = data.data, data.target\n",
+      "X_trn, X_val, y_trn, y_val = train_test_split(X, y, random_state=42)\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "import numpy as np\n",
+      "bplot = get_bplot()\n",
+      "bplot.line(np.arange(100), np.cumsum(np.random.uniform(size=100)))\n",
+      "bshow(bplot)\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.inspector import inspect\n",
+      "from torch.utils.data import TensorDataset\n",
+      "\n",
+      "trn_ds = TensorDataset(*[torch.Tensor(i) for i in [X_trn, y_trn]])\n",
+      "trn_dl = DataLoader(trn_ds, batch_size=32)\n",
+      "\n",
+      "val_ds = TensorDataset(*[torch.Tensor(i) for i in [X_val, y_val]])\n",
+      "val_dl = DataLoader(val_ds, batch_size=32)\n",
+      "\n",
+      "inspect(next(iter(val_dl)))\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py:186: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.trainer.capsule import Capsule, train, validate, predict\n",
+      "\n",
+      "\n",
+      "class IrisModel(Capsule):\n",
+      "    def __init__(self):\n",
+      "        super().__init__()\n",
+      "        self.model = nn.Sequential(\n",
+      "            nn.BatchNorm1d(4),\n",
+      "            nn.Linear(4, 16),\n",
+      "            nn.Dropout(0.2),\n",
+      "            nn.BatchNorm1d(16),\n",
+      "            nn.ReLU(inplace=True),\n",
+      "            nn.Linear(16, 8),\n",
+      "            nn.Dropout(0.2),\n",
+      "            nn.BatchNorm1d(8),\n",
+      "            nn.ReLU(inplace=True),\n",
+      "            nn.Linear(8, 3),\n",
+      "        )\n",
+      "        self.loss_fn = nn.CrossEntropyLoss()\n",
+      "        self.optimizer = optim.Adam(self.parameters())\n",
+      "\n",
+      "    def forward(self, x):\n",
+      "        return self.model(x)\n",
+      "\n",
+      "    @train\n",
+      "    def train_batch(self, batch):\n",
+      "        x, y = batch\n",
+      "        _y = self.forward(x)\n",
+      "        loss = self.loss_fn(_y, y.long())\n",
+      "        return {\"loss\": loss}\n",
+      "\n",
+      "    @validate\n",
+      "    def validate_batch(self, batch=None, dl=None):\n",
+      "        if dl is not None:\n",
+      "            output = []\n",
+      "            for batch in dl:\n",
+      "                output.extend(self.predict(batch=batch)[\"val_acc\"])\n",
+      "            return np.mean(output)\n",
+      "        x, y = batch\n",
+      "        _y = self.forward(x)\n",
+      "        loss = self.loss_fn(_y, y.long())\n",
+      "        acc = (y == _y.max(-1)[1]).float().mean()\n",
+      "        return {\"val_loss\": loss, \"val_acc\": acc}\n",
+      "\n",
+      "    @predict\n",
+      "    def predict(self, batch=None, dl=None):\n",
+      "        if dl is not None:\n",
+      "            output = []\n",
+      "            for batch in dl:\n",
+      "                output.extend(self.predict(batch=batch))\n",
+      "            return output\n",
+      "        x, y = batch\n",
+      "        _y = self.forward(x)\n",
+      "        o = _y.max(-1)[1].cpu().detach().numpy().tolist()\n",
+      "        return o\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "concurrent.futures.process._RemoteTraceback: \n",
+      "\"\"\"\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/IPython/core/formatters.py\", line 221, in catch_format_error\n",
+      "    r = method(self, *args, **kwargs)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/IPython/core/formatters.py\", line 342, in __call__\n",
+      "    return method()\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/showdoc.py\", line 168, in _repr_markdown_\n",
+      "    src = NbdevLookup().code(self.fn)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/doclinks.py\", line 200, in __init__\n",
+      "    self.entries = {o.name: _qual_syms(o.resolve()) for o in list(pkg_resources.iter_entry_points(group='nbdev'))\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/doclinks.py\", line 200, in <dictcomp>\n",
+      "    self.entries = {o.name: _qual_syms(o.resolve()) for o in list(pkg_resources.iter_entry_points(group='nbdev'))\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/pkg_resources/__init__.py\", line 2477, in resolve\n",
+      "    module = __import__(self.module_name, fromlist=['__name__'], level=0)\n",
+      "  File \"/Users/yeshwanth.y/code/cvat-sdk/VDU_cvat_sdk/__init__.py\", line 1, in <module>\n",
+      "    from .login import *\n",
+      "  File \"/Users/yeshwanth.y/code/cvat-sdk/VDU_cvat_sdk/login.py\", line 8, in <module>\n",
+      "    import typer\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/typer/__init__.py\", line 7, in <module>\n",
+      "    from click.exceptions import Abort as Abort\n",
+      "ModuleNotFoundError: No module named 'click'\n",
+      "\n",
+      "The above exception was the direct cause of the following exception:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/process.py\", line 243, in _process_worker\n",
+      "    r = call_item.fn(*call_item.args, **call_item.kwargs)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/process.py\", line 202, in _process_chunk\n",
+      "    return [fn(*args) for args in chunk]\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/process.py\", line 202, in <listcomp>\n",
+      "    return [fn(*args) for args in chunk]\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/parallel.py\", line 46, in _call\n",
+      "    return g(item)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/serve_drv.py\", line 22, in main\n",
+      "    if src.suffix=='.ipynb': exec_nb(src, dst, x)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/serve_drv.py\", line 16, in exec_nb\n",
+      "    cb()(nb)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py\", line 243, in __call__\n",
+      "    def __call__(self, nb): return self.nb_proc(nb).process()\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/process.py\", line 126, in process\n",
+      "    for proc in self.procs: self._proc(proc)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/process.py\", line 119, in _proc\n",
+      "    for cell in self.nb.cells: self._process_cell(proc, cell)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/process.py\", line 110, in _process_cell\n",
+      "    if callable(proc) and not _is_direc(proc): cell = opt_set(cell, proc(cell))\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/processors.py\", line 205, in __call__\n",
+      "    raise Exception(f\"Error{' in notebook: '+title if title else ''} in cell {cell.idx_} :\\n{cell.source}\") from self.k.exc[1]\n",
+      "Exception: Error in notebook: Decorator Utilites in cell 5 :\n",
+      "#| echo: false\n",
+      "#| output: asis\n",
+      "show_doc(check_kwargs_not_none)\n",
+      "\"\"\"\n",
+      "\n",
+      "The above exception was the direct cause of the following exception:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/bin/nbdev_docs\", line 8, in <module>\n",
+      "    sys.exit(nbdev_docs())\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/script.py\", line 119, in _f\n",
+      "    return tfunc(**merge(args, args_from_prog(func, xtra)))\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/quarto.py\", line 245, in nbdev_docs\n",
+      "    cache,cfg,path = _pre_docs(path, n_workers=n_workers, **kwargs)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/quarto.py\", line 174, in _pre_docs\n",
+      "    cache = proc_nbs(path, n_workers=n_workers, **kwargs)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/nbdev/serve.py\", line 77, in proc_nbs\n",
+      "    parallel(nbdev.serve_drv.main, files, n_workers=n_workers, pause=0.01, **kw)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/parallel.py\", line 117, in parallel\n",
+      "    return L(r)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/foundation.py\", line 98, in __call__\n",
+      "    return super().__call__(x, *args, **kwargs)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/foundation.py\", line 106, in __init__\n",
+      "    items = listify(items, *rest, use_list=use_list, match=match)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages/fastcore/basics.py\", line 66, in listify\n",
+      "    elif is_iter(o): res = list(o)\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/process.py\", line 559, in _chain_from_iterable_of_lists\n",
+      "    for element in iterable:\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/_base.py\", line 608, in result_iterator\n",
+      "    yield fs.pop().result()\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/_base.py\", line 445, in result\n",
+      "    return self.__get_result()\n",
+      "  File \"/Users/yeshwanth.y/miniconda3/lib/python3.9/concurrent/futures/_base.py\", line 390, in __get_result\n",
+      "    raise self._exception\n",
+      "Exception: Error in notebook: Decorator Utilites in cell 5 :\n",
+      "#| echo: false\n",
+      "#| output: asis\n",
+      "show_doc(check_kwargs_not_none)\n"
      ]
     }
    ],
@@ -68,7 +307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -77,109 +316,106 @@
      "text": [
       "Obtaining file:///Users/yeshwanth.y/code/torch_snippets\n",
       "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
-      "\u001b[?25hRequirement already satisfied: fastcore in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (1.5.27)\n",
-      "Requirement already satisfied: matplotlib in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (3.5.1)\n",
-      "Requirement already satisfied: Pillow in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (9.0.0)\n",
-      "Requirement already satisfied: altair in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (4.2.0)\n",
-      "Requirement already satisfied: dill in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (0.3.5.1)\n",
-      "Requirement already satisfied: ipython in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (7.30.1)\n",
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-      "Requirement already satisfied: numpy in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (1.19.5)\n",
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-      "Requirement already satisfied: rich in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (13.0.1)\n",
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-      "Requirement already satisfied: catalogue in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (2.0.7)\n",
-      "Requirement already satisfied: confection in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (0.0.3)\n",
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-      "Requirement already satisfied: typing in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (3.7.4.3)\n",
-      "Requirement already satisfied: srsly in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (2.4.5)\n",
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-      "Requirement already satisfied: xmltodict in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (0.12.0)\n",
-      "Requirement already satisfied: fuzzywuzzy in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (0.18.0)\n",
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-      "Requirement already satisfied: python-Levenshtein in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (0.12.2)\n",
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-      "Requirement already satisfied: pymupdf in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.30) (1.21.1)\n",
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-      "Requirement already satisfied: opencv-python in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from imgaug>=0.4.0->torch-snippets==0.499.30) (4.5.4.60)\n",
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-      "Requirement already satisfied: jsonschema>=3.0 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from altair->torch-snippets==0.499.30) (4.17.3)\n",
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-      "Requirement already satisfied: pip in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from fastcore->torch-snippets==0.499.30) (22.3.1)\n",
-      "Requirement already satisfied: packaging in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from fastcore->torch-snippets==0.499.30) (22.0)\n",
-      "Requirement already satisfied: setuptools>=18.5 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from ipython->torch-snippets==0.499.30) (65.6.3)\n",
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-      "Requirement already satisfied: decorator in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from ipython->torch-snippets==0.499.30) (5.1.0)\n",
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-      "Requirement already satisfied: pygments in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from ipython->torch-snippets==0.499.30) (2.11.1)\n",
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-      "Requirement already satisfied: attrs>=19.2.0 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from jsonlines->torch-snippets==0.499.30) (22.2.0)\n",
-      "Requirement already satisfied: lovely-numpy>=0.2.8 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from lovely_tensors->torch-snippets==0.499.30) (0.2.8)\n",
-      "Requirement already satisfied: torch in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from lovely_tensors->torch-snippets==0.499.30) (1.12.1)\n",
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-      "Requirement already satisfied: pyparsing>=2.2.1 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from matplotlib->torch-snippets==0.499.30) (3.0.9)\n",
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-      "Requirement already satisfied: bleach in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from nbconvert->torch-snippets==0.499.30) (4.1.0)\n",
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+      "\u001b[?25hRequirement already satisfied: fastcore in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from torch-snippets==0.499.33) (1.5.27)\n",
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+      "Requirement already satisfied: platformdirs>=2.5 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from jupyter-core>=4.7->nbconvert->torch-snippets==0.499.33) (2.5.2)\n",
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+      "Requirement already satisfied: tifffile>=2019.7.26 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch-snippets==0.499.33) (2021.11.2)\n",
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+      "Requirement already satisfied: distlib<1,>=0.3.1 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from virtualenv>=20.10.0->pre-commit->torch-snippets==0.499.33) (0.3.6)\n",
+      "Requirement already satisfied: filelock<4,>=3.2 in /Users/yeshwanth.y/.local/lib/python3.9/site-packages (from virtualenv>=20.10.0->pre-commit->torch-snippets==0.499.33) (3.4.2)\n",
+      "Requirement already satisfied: webencodings in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from bleach->nbconvert->torch-snippets==0.499.33) (0.5.1)\n",
+      "Requirement already satisfied: pyzmq>=23.0 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from jupyter-client>=6.1.5->nbclient>=0.5.0->nbconvert->torch-snippets==0.499.33) (25.1.0)\n",
+      "Requirement already satisfied: tornado>=6.2 in /Users/yeshwanth.y/miniconda3/lib/python3.9/site-packages (from jupyter-client>=6.1.5->nbclient>=0.5.0->nbconvert->torch-snippets==0.499.33) (6.2)\n",
       "Installing collected packages: torch-snippets\n",
       "  Attempting uninstall: torch-snippets\n",
-      "    Found existing installation: torch-snippets 0.499.30\n",
-      "    Uninstalling torch-snippets-0.499.30:\n",
-      "      Successfully uninstalled torch-snippets-0.499.30\n",
+      "    Found existing installation: torch-snippets 0.499.32\n",
+      "    Uninstalling torch-snippets-0.499.32:\n",
+      "      Successfully uninstalled torch-snippets-0.499.32\n",
       "  Running setup.py develop for torch-snippets\n",
       "Successfully installed torch-snippets\n",
       "Note: you may need to restart the kernel to use updated packages.\n"
@@ -193,7 +429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -216,57 +452,57 @@
       "adding license file 'LICENSE.txt'\n",
       "writing manifest file 'torch_snippets.egg-info/SOURCES.txt'\n",
       "running check\n",
-      "creating torch_snippets-0.499.32\n",
-      "creating torch_snippets-0.499.32/torch_snippets\n",
-      "creating torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "creating torch_snippets-0.499.32/torch_snippets/thinc_parser\n",
-      "creating torch_snippets-0.499.32/torch_snippets/trainer\n",
-      "copying files to torch_snippets-0.499.32...\n",
-      "copying LICENSE -> torch_snippets-0.499.32\n",
-      "copying LICENSE.txt -> torch_snippets-0.499.32\n",
-      "copying MANIFEST.in -> torch_snippets-0.499.32\n",
-      "copying README.md -> torch_snippets-0.499.32\n",
-      "copying settings.ini -> torch_snippets-0.499.32\n",
-      "copying setup.cfg -> torch_snippets-0.499.32\n",
-      "copying setup.py -> torch_snippets-0.499.32\n",
-      "copying torch_snippets/__init__.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/_modidx.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/_nbdev.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/adapters.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/bb_utils.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/bokeh_loader.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/charts.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/decorators.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/fastcores.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/imgaug_loader.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/inspector.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/interactive_show.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/ipython.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/load_defaults.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/loader.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/logger.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/markup.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/misc.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/paths.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/pdf_loader.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/registry.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/sklegos.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/text_utils.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets/torch_loader.py -> torch_snippets-0.499.32/torch_snippets\n",
-      "copying torch_snippets.egg-info/PKG-INFO -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/dependency_links.txt -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/not-zip-safe -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/requires.txt -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/top_level.txt -> torch_snippets-0.499.32/torch_snippets.egg-info\n",
-      "copying torch_snippets/thinc_parser/__init__.py -> torch_snippets-0.499.32/torch_snippets/thinc_parser\n",
-      "copying torch_snippets/thinc_parser/parser.py -> torch_snippets-0.499.32/torch_snippets/thinc_parser\n",
-      "copying torch_snippets/trainer/__init__.py -> torch_snippets-0.499.32/torch_snippets/trainer\n",
-      "copying torch_snippets/trainer/capsule.py -> torch_snippets-0.499.32/torch_snippets/trainer\n",
-      "Writing torch_snippets-0.499.32/setup.cfg\n",
+      "creating torch_snippets-0.499.33\n",
+      "creating torch_snippets-0.499.33/torch_snippets\n",
+      "creating torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "creating torch_snippets-0.499.33/torch_snippets/thinc_parser\n",
+      "creating torch_snippets-0.499.33/torch_snippets/trainer\n",
+      "copying files to torch_snippets-0.499.33...\n",
+      "copying LICENSE -> torch_snippets-0.499.33\n",
+      "copying LICENSE.txt -> torch_snippets-0.499.33\n",
+      "copying MANIFEST.in -> torch_snippets-0.499.33\n",
+      "copying README.md -> torch_snippets-0.499.33\n",
+      "copying settings.ini -> torch_snippets-0.499.33\n",
+      "copying setup.cfg -> torch_snippets-0.499.33\n",
+      "copying setup.py -> torch_snippets-0.499.33\n",
+      "copying torch_snippets/__init__.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/_modidx.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/_nbdev.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/adapters.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/bb_utils.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/bokeh_loader.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/charts.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/decorators.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/fastcores.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/imgaug_loader.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/inspector.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/interactive_show.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/ipython.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/load_defaults.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/loader.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/logger.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/markup.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/misc.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/paths.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/pdf_loader.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/registry.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/sklegos.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/text_utils.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets/torch_loader.py -> torch_snippets-0.499.33/torch_snippets\n",
+      "copying torch_snippets.egg-info/PKG-INFO -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/dependency_links.txt -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/not-zip-safe -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/requires.txt -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/top_level.txt -> torch_snippets-0.499.33/torch_snippets.egg-info\n",
+      "copying torch_snippets/thinc_parser/__init__.py -> torch_snippets-0.499.33/torch_snippets/thinc_parser\n",
+      "copying torch_snippets/thinc_parser/parser.py -> torch_snippets-0.499.33/torch_snippets/thinc_parser\n",
+      "copying torch_snippets/trainer/__init__.py -> torch_snippets-0.499.33/torch_snippets/trainer\n",
+      "copying torch_snippets/trainer/capsule.py -> torch_snippets-0.499.33/torch_snippets/trainer\n",
+      "Writing torch_snippets-0.499.33/setup.cfg\n",
       "creating dist\n",
       "Creating tar archive\n",
-      "removing 'torch_snippets-0.499.32' (and everything under it)\n",
+      "removing 'torch_snippets-0.499.33' (and everything under it)\n",
       "running bdist_wheel\n",
       "running build\n",
       "running build_py\n",
@@ -342,12 +578,12 @@
       "copying build/lib/torch_snippets/adapters.py -> build/bdist.macosx-10.9-x86_64/wheel/torch_snippets\n",
       "copying build/lib/torch_snippets/decorators.py -> build/bdist.macosx-10.9-x86_64/wheel/torch_snippets\n",
       "running install_egg_info\n",
-      "Copying torch_snippets.egg-info to build/bdist.macosx-10.9-x86_64/wheel/torch_snippets-0.499.32-py3.9.egg-info\n",
+      "Copying torch_snippets.egg-info to build/bdist.macosx-10.9-x86_64/wheel/torch_snippets-0.499.33-py3.9.egg-info\n",
       "running install_scripts\n",
       "adding license file \"LICENSE\" (matched pattern \"LICEN[CS]E*\")\n",
       "adding license file \"LICENSE.txt\" (matched pattern \"LICEN[CS]E*\")\n",
-      "creating build/bdist.macosx-10.9-x86_64/wheel/torch_snippets-0.499.32.dist-info/WHEEL\n",
-      "creating 'dist/torch_snippets-0.499.32-py3-none-any.whl' and adding 'build/bdist.macosx-10.9-x86_64/wheel' to it\n",
+      "creating build/bdist.macosx-10.9-x86_64/wheel/torch_snippets-0.499.33.dist-info/WHEEL\n",
+      "creating 'dist/torch_snippets-0.499.33-py3-none-any.whl' and adding 'build/bdist.macosx-10.9-x86_64/wheel' to it\n",
       "adding 'torch_snippets/__init__.py'\n",
       "adding 'torch_snippets/_modidx.py'\n",
       "adding 'torch_snippets/_nbdev.py'\n",
@@ -376,21 +612,21 @@
       "adding 'torch_snippets/thinc_parser/parser.py'\n",
       "adding 'torch_snippets/trainer/__init__.py'\n",
       "adding 'torch_snippets/trainer/capsule.py'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/LICENSE'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/LICENSE.txt'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/METADATA'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/WHEEL'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/top_level.txt'\n",
-      "adding 'torch_snippets-0.499.32.dist-info/RECORD'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/LICENSE'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/LICENSE.txt'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/METADATA'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/WHEEL'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/top_level.txt'\n",
+      "adding 'torch_snippets-0.499.33.dist-info/RECORD'\n",
       "removing build/bdist.macosx-10.9-x86_64/wheel\n",
       "Uploading distributions to https://upload.pypi.org/legacy/\n",
-      "Uploading torch_snippets-0.499.32-py3-none-any.whl\n",
-      "100%|██████████████████████████████████████| 69.3k/69.3k [00:03<00:00, 18.2kB/s]\n",
-      "Uploading torch_snippets-0.499.32.tar.gz\n",
-      "100%|██████████████████████████████████████| 59.8k/59.8k [00:02<00:00, 25.7kB/s]\n",
+      "Uploading torch_snippets-0.499.33-py3-none-any.whl\n",
+      "100%|██████████████████████████████████████| 69.2k/69.2k [00:04<00:00, 17.0kB/s]\n",
+      "Uploading torch_snippets-0.499.33.tar.gz\n",
+      "100%|██████████████████████████████████████| 59.8k/59.8k [00:02<00:00, 30.6kB/s]\n",
       "\n",
       "View at:\n",
-      "https://pypi.org/project/torch-snippets/0.499.32/\n",
+      "https://pypi.org/project/torch-snippets/0.499.33/\n",
       "conda build --output-folder out --no-anaconda-upload  torch_snippets\n",
       "\n",
       "CommandNotFoundError: To use 'conda build', install conda-build.\n",
@@ -417,7 +653,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -427,38 +663,38 @@
       "Fix End of Files.........................................................\u001b[42mPassed\u001b[m\n",
       "Trim Trailing Whitespace.................................................\u001b[42mPassed\u001b[m\n",
       "black....................................................................\u001b[42mPassed\u001b[m\n",
-      "[master f3db8ae] {VERSION}\n",
-      " 34 files changed, 8564 insertions(+), 527 deletions(-)\n",
-      " create mode 100644 _proc/adapters.ipynb\n",
-      " create mode 100644 _proc/capsule.ipynb\n",
-      " create mode 100644 _proc/charts.ipynb\n",
-      " create mode 100644 _proc/decorators.ipynb\n",
-      " create mode 100644 _proc/imgaug_loader.ipynb\n",
-      " create mode 100644 _proc/index.ipynb\n",
-      " create mode 100644 _proc/inspector.ipynb\n",
-      " create mode 100644 _proc/jupyter_notebook.ipynb\n",
-      " create mode 100644 _proc/load_defautls.ipynb\n",
-      " create mode 100644 _proc/logging.ipynb\n",
-      " create mode 100644 _proc/markups.ipynb\n",
-      " create mode 100644 _proc/misc.ipynb\n",
-      " create mode 100644 _proc/paths.ipynb\n",
-      " create mode 100644 _proc/pdf.ipynb\n",
-      " create mode 100644 _proc/registry.ipynb\n",
-      " create mode 100644 _proc/report.ipynb\n",
-      " create mode 100644 _proc/show.ipynb\n",
-      "Enumerating objects: 64, done.\n",
-      "Counting objects: 100% (64/64), done.\n",
+      "[master 1b1da3a] 0.499.33\n",
+      " 30 files changed, 158 insertions(+), 8303 deletions(-)\n",
+      " delete mode 100644 _proc/adapters.ipynb\n",
+      " delete mode 100644 _proc/capsule.ipynb\n",
+      " delete mode 100644 _proc/charts.ipynb\n",
+      " delete mode 100644 _proc/decorators.ipynb\n",
+      " delete mode 100644 _proc/imgaug_loader.ipynb\n",
+      " delete mode 100644 _proc/index.ipynb\n",
+      " delete mode 100644 _proc/inspector.ipynb\n",
+      " delete mode 100644 _proc/jupyter_notebook.ipynb\n",
+      " delete mode 100644 _proc/load_defautls.ipynb\n",
+      " delete mode 100644 _proc/logging.ipynb\n",
+      " delete mode 100644 _proc/markups.ipynb\n",
+      " delete mode 100644 _proc/misc.ipynb\n",
+      " delete mode 100644 _proc/paths.ipynb\n",
+      " delete mode 100644 _proc/pdf.ipynb\n",
+      " delete mode 100644 _proc/registry.ipynb\n",
+      " delete mode 100644 _proc/report.ipynb\n",
+      " delete mode 100644 _proc/show.ipynb\n",
+      "Enumerating objects: 41, done.\n",
+      "Counting objects: 100% (41/41), done.\n",
       "Delta compression using up to 12 threads\n",
-      "Compressing objects: 100% (40/40), done.\n",
-      "Writing objects: 100% (42/42), 3.20 MiB | 1.23 MiB/s, done.\n",
-      "Total 42 (delta 28), reused 0 (delta 0), pack-reused 0\n",
-      "remote: Resolving deltas: 100% (28/28), completed with 19 local objects.\u001b[K\n",
+      "Compressing objects: 100% (19/19), done.\n",
+      "Writing objects: 100% (21/21), 3.50 KiB | 1.75 MiB/s, done.\n",
+      "Total 21 (delta 18), reused 0 (delta 0), pack-reused 0\n",
+      "remote: Resolving deltas: 100% (18/18), completed with 18 local objects.\u001b[K\n",
       "remote: \n",
       "remote: GitHub found 11 vulnerabilities on sizhky/torch_snippets's default branch (4 high, 6 moderate, 1 low). To find out more, visit:\u001b[K\n",
       "remote:      https://github.com/sizhky/torch_snippets/security/dependabot\u001b[K\n",
       "remote: \n",
       "To github.com:sizhky/torch_snippets.git\n",
-      "   bf9a93c..f3db8ae  master -> master\n"
+      "   f3db8ae..1b1da3a  master -> master\n"
      ]
     }
    ],
diff --git a/settings.ini b/settings.ini
index 5afe4a1..7537ecb 100644
--- a/settings.ini
+++ b/settings.ini
@@ -8,7 +8,7 @@ author = Yeshwanth Reddy
 author_email = 1992chinna@gmail.com
 copyright = sizhky
 branch = master
-version = 0.499.33
+version = 0.499.34
 min_python = 3.7
 audience = Developers
 language = English
diff --git a/torch_snippets.egg-info/PKG-INFO b/torch_snippets.egg-info/PKG-INFO
index 25891e0..46a6c34 100644
--- a/torch_snippets.egg-info/PKG-INFO
+++ b/torch_snippets.egg-info/PKG-INFO
@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: torch-snippets
-Version: 0.499.33
+Version: 0.499.34
 Summary: One line functions for common tasks
 Home-page: https://github.com/sizhky/torch_snippets/tree/master/
 Author: Yeshwanth Reddy
diff --git a/torch_snippets/__init__.py b/torch_snippets/__init__.py
index 9b76443..ad4269a 100644
--- a/torch_snippets/__init__.py
+++ b/torch_snippets/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "0.499.33"
+__version__ = "0.499.34"
 from .loader import *
 from .paths import *
 from .markup import *
diff --git a/torch_snippets/adapters.py b/torch_snippets/adapters.py
index 754705e..833b2f9 100644
--- a/torch_snippets/adapters.py
+++ b/torch_snippets/adapters.py
@@ -1,7 +1,15 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/adapters.ipynb.
 
 # %% auto 0
-__all__ = ['np_2_b64', 'b64_2_np', 'b64_2_file', 'bytes_2_file', 'file_2_bytes', 'csvs_2_cvat', 'cvat_2_csvs']
+__all__ = [
+    "np_2_b64",
+    "b64_2_np",
+    "b64_2_file",
+    "bytes_2_file",
+    "file_2_bytes",
+    "csvs_2_cvat",
+    "cvat_2_csvs",
+]
 
 # %% ../nbs/adapters.ipynb 2
 import base64, cv2, numpy as np
@@ -28,9 +36,9 @@ def b64_2_np(input: str) -> np.ndarray:
 
 
 def b64_2_file(
-    input: str, # base64 encoded string
-    fpath: Union[str, P] # Place where you want to save the file
-    ) -> None:
+    input: str,  # base64 encoded string
+    fpath: Union[str, P],  # Place where you want to save the file
+) -> None:
     """Save a file encoded as a base64 `input` at given `fpath`"""
     with open(fpath, "wb") as pdf_file:
         input = bytes(input, "utf-8")
@@ -42,7 +50,7 @@ def b64_2_file(
 def bytes_2_file(
     input: bytes,  # bytes
     fpath: Union[str, P],  # Place where you want to save the file
-    silent: bool = False
+    silent: bool = False,
 ) -> None:
     """Save bytes `input` at given `fpath`"""
     with open(fpath, "wb") as file_to_write:
@@ -56,6 +64,7 @@ def file_2_bytes(fpath):
         output = f.read()
     return output
 
+
 # %% ../nbs/adapters.ipynb 4
 def _process(
     df: pd.DataFrame, label_column="readable_label", default_label="Background"
@@ -69,7 +78,10 @@ def _process(
     df["@source"] = "manual"
     df["@z_order"] = "0"
     if "text" in df.columns:
-        df["attribute"] = [[{"@name": "OCR", "#text": text}] for text in df["text"]]
+        df["attribute"] = [
+            [{"@name": "OCR", "#text": text if text == text else ""}]
+            for text in df["text"]
+        ]
     df.drop(
         [
             c
@@ -104,7 +116,7 @@ def csvs_2_cvat(
     parquet=False,
     relative_df=True,
     default_label="Background",
-    extension='jpg'
+    extension="jpg",
 ):
     images_folder, csvs_folder = [P(_) for _ in [images_folder, csvs_folder]]
     data = AttrDict({"annotations": {"image": []}})
@@ -161,7 +173,7 @@ def _get_attribute_data(item, column_name):
 
 
 def _cvat_ann_2_csv(ann):
-    if 'box' not in ann:
+    if "box" not in ann:
         return pd.DataFrame()
     if isinstance(ann.box, AttrDict):
         rows = [a.to_dict() for a in [ann.box]]
@@ -203,5 +215,3 @@ def cvat_2_csvs(xmlfile, csvs_folder):
             df.to_csv(save_at, index=False)
         except Exception as e:
             Warn(f'{e} @ {item["@name"]}')
-
-
diff --git a/torch_snippets/loader.py b/torch_snippets/loader.py
index 3616c71..39290cb 100755
--- a/torch_snippets/loader.py
+++ b/torch_snippets/loader.py
@@ -95,6 +95,10 @@
 
     __all__ += ["torch", "nn", "F", "Dataset", "DataLoader", "optim"]
 except:
+    Warn(
+        "Unable to load torch and dependent libraries from torch-snippets. \n"
+        "Functionalities might be limited. pip install lovely-tensors in case there are torch related errors"
+    )
     ...
 import matplotlib  # ; matplotlib.use('Agg')
 import matplotlib.pyplot as plt
@@ -318,7 +322,6 @@ def show(
     try:
         if isinstance(img, (str, Path)):
             img = read(str(img), 1)
-        if isinstance(img, torch.Tensor):
             img = img.cpu().detach().numpy().copy()
         if isinstance(img, PIL.Image.Image):
             img = np.array(img)