diff --git "a/S13.ipynb" "b/S13.ipynb"
new file mode 100644--- /dev/null
+++ "b/S13.ipynb"
@@ -0,0 +1,2067 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://download.pytorch.org/whl/cu118\n",
+      "Requirement already satisfied: torch==2.0.1+cu118 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (2.0.1+cu118)\n",
+      "Collecting torchvision==0.15.2+cu118\n",
+      "  Using cached https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp39-cp39-win_amd64.whl (4.9 MB)\n",
+      "Requirement already satisfied: filelock in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch==2.0.1+cu118) (3.12.2)\n",
+      "Requirement already satisfied: typing-extensions in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch==2.0.1+cu118) (4.7.1)\n",
+      "Requirement already satisfied: sympy in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch==2.0.1+cu118) (1.12)\n",
+      "Requirement already satisfied: networkx in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch==2.0.1+cu118) (3.1)\n",
+      "Requirement already satisfied: jinja2 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch==2.0.1+cu118) (3.1.2)\n",
+      "Requirement already satisfied: numpy in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torchvision==0.15.2+cu118) (1.25.1)\n",
+      "Requirement already satisfied: requests in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torchvision==0.15.2+cu118) (2.31.0)\n",
+      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torchvision==0.15.2+cu118) (10.0.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from jinja2->torch==2.0.1+cu118) (2.1.3)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision==0.15.2+cu118) (3.2.0)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision==0.15.2+cu118) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision==0.15.2+cu118) (2.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision==0.15.2+cu118) (2023.7.22)\n",
+      "Requirement already satisfied: mpmath>=0.19 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from sympy->torch==2.0.1+cu118) (1.3.0)\n",
+      "Installing collected packages: torchvision\n",
+      "  Attempting uninstall: torchvision\n",
+      "    Found existing installation: torchvision 0.15.2\n",
+      "    Uninstalling torchvision-0.15.2:\n",
+      "      Successfully uninstalled torchvision-0.15.2\n",
+      "Successfully installed torchvision-0.15.2+cu118\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install --pre torch==2.0.1+cu118 torchvision==0.15.2+cu118 --index-url https://download.pytorch.org/whl/cu118"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('2.0.1+cu118', '0.15.2+cu118')"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import torch, torchvision\n",
+    "\n",
+    "torch.__version__, torchvision.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "torch.cuda.is_available()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: albumentations in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (1.3.1)\n",
+      "Requirement already satisfied: numpy>=1.11.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (1.25.1)\n",
+      "Requirement already satisfied: scipy>=1.1.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (1.11.1)\n",
+      "Requirement already satisfied: scikit-image>=0.16.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (0.21.0)\n",
+      "Requirement already satisfied: PyYAML in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (6.0.1)\n",
+      "Requirement already satisfied: qudida>=0.0.4 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (0.0.4)\n",
+      "Requirement already satisfied: opencv-python-headless>=4.1.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from albumentations) (4.8.0.74)\n",
+      "Requirement already satisfied: scikit-learn>=0.19.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from qudida>=0.0.4->albumentations) (1.3.0)\n",
+      "Requirement already satisfied: typing-extensions in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from qudida>=0.0.4->albumentations) (4.7.1)\n",
+      "Requirement already satisfied: networkx>=2.8 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (3.1)\n",
+      "Requirement already satisfied: pillow>=9.0.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (10.0.0)\n",
+      "Requirement already satisfied: imageio>=2.27 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (2.31.1)\n",
+      "Requirement already satisfied: tifffile>=2022.8.12 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (2023.7.18)\n",
+      "Requirement already satisfied: PyWavelets>=1.1.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (1.4.1)\n",
+      "Requirement already satisfied: packaging>=21 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (23.1)\n",
+      "Requirement already satisfied: lazy_loader>=0.2 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-image>=0.16.1->albumentations) (0.3)\n",
+      "Requirement already satisfied: joblib>=1.1.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-learn>=0.19.1->qudida>=0.0.4->albumentations) (1.3.1)\n",
+      "Requirement already satisfied: threadpoolctl>=2.0.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from scikit-learn>=0.19.1->qudida>=0.0.4->albumentations) (3.2.0)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 23.2.1 -> 24.0\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Install Albumentation library\n",
+    "%pip install albumentations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: torch-lr-finder in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (0.2.1)\n",
+      "Requirement already satisfied: matplotlib in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch-lr-finder) (3.7.2)\n",
+      "Requirement already satisfied: numpy in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch-lr-finder) (1.25.1)\n",
+      "Requirement already satisfied: torch>=0.4.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch-lr-finder) (2.0.1+cu118)\n",
+      "Requirement already satisfied: tqdm in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch-lr-finder) (4.65.0)\n",
+      "Requirement already satisfied: packaging in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch-lr-finder) (23.1)\n",
+      "Requirement already satisfied: filelock in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch>=0.4.1->torch-lr-finder) (3.12.2)\n",
+      "Requirement already satisfied: typing-extensions in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch>=0.4.1->torch-lr-finder) (4.7.1)\n",
+      "Requirement already satisfied: sympy in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch>=0.4.1->torch-lr-finder) (1.12)\n",
+      "Requirement already satisfied: networkx in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch>=0.4.1->torch-lr-finder) (3.1)\n",
+      "Requirement already satisfied: jinja2 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from torch>=0.4.1->torch-lr-finder) (3.1.2)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (1.1.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (0.11.0)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (4.41.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (1.4.4)\n",
+      "Requirement already satisfied: pillow>=6.2.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (10.0.0)\n",
+      "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (3.0.9)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (2.8.2)\n",
+      "Requirement already satisfied: importlib-resources>=3.2.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from matplotlib->torch-lr-finder) (6.0.0)\n",
+      "Requirement already satisfied: colorama in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from tqdm->torch-lr-finder) (0.4.6)\n",
+      "Requirement already satisfied: zipp>=3.1.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from importlib-resources>=3.2.0->matplotlib->torch-lr-finder) (3.16.2)\n",
+      "Requirement already satisfied: six>=1.5 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->torch-lr-finder) (1.16.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from jinja2->torch>=0.4.1->torch-lr-finder) (2.1.3)\n",
+      "Requirement already satisfied: mpmath>=0.19 in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (from sympy->torch>=0.4.1->torch-lr-finder) (1.3.0)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 23.2.1 -> 24.0\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Install LR finder\n",
+    "%pip install torch-lr-finder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: grad-cam in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (1.4.8)\n",
+      "Requirement already satisfied: numpy in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (1.25.1)\n",
+      "Requirement already satisfied: Pillow in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (10.0.0)\n",
+      "Requirement already satisfied: torch>=1.7.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (2.0.1+cu118)\n",
+      "Requirement already satisfied: torchvision>=0.8.2 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (0.15.2+cu118)\n",
+      "Requirement already satisfied: ttach in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (0.0.3)\n",
+      "Requirement already satisfied: tqdm in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (4.65.0)\n",
+      "Requirement already satisfied: opencv-python in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (4.8.0.74)\n",
+      "Requirement already satisfied: matplotlib in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (3.7.2)\n",
+      "Requirement already satisfied: scikit-learn in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from grad-cam) (1.3.0)\n",
+      "Requirement already satisfied: filelock in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch>=1.7.1->grad-cam) (3.12.2)\n",
+      "Requirement already satisfied: typing-extensions in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch>=1.7.1->grad-cam) (4.7.1)\n",
+      "Requirement already satisfied: sympy in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch>=1.7.1->grad-cam) (1.12)\n",
+      "Requirement already satisfied: networkx in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch>=1.7.1->grad-cam) (3.1)\n",
+      "Requirement already satisfied: jinja2 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torch>=1.7.1->grad-cam) (3.1.2)\n",
+      "Requirement already satisfied: requests in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from torchvision>=0.8.2->grad-cam) (2.31.0)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (1.1.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (0.11.0)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (4.41.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (1.4.4)\n",
+      "Requirement already satisfied: packaging>=20.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (23.1)\n",
+      "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (3.0.9)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (2.8.2)\n",
+      "Requirement already satisfied: importlib-resources>=3.2.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib->grad-cam) (6.0.0)\n",
+      "Requirement already satisfied: scipy>=1.5.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from scikit-learn->grad-cam) (1.11.1)\n",
+      "Requirement already satisfied: joblib>=1.1.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from scikit-learn->grad-cam) (1.3.1)\n",
+      "Requirement already satisfied: threadpoolctl>=2.0.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from scikit-learn->grad-cam) (3.2.0)\n",
+      "Requirement already satisfied: colorama in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from tqdm->grad-cam) (0.4.6)\n",
+      "Requirement already satisfied: zipp>=3.1.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from importlib-resources>=3.2.0->matplotlib->grad-cam) (3.16.2)\n",
+      "Requirement already satisfied: six>=1.5 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->grad-cam) (1.16.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from jinja2->torch>=1.7.1->grad-cam) (2.1.3)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision>=0.8.2->grad-cam) (3.2.0)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision>=0.8.2->grad-cam) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision>=0.8.2->grad-cam) (2.0.4)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from requests->torchvision>=0.8.2->grad-cam) (2023.7.22)\n",
+      "Requirement already satisfied: mpmath>=0.19 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from sympy->torch>=1.7.1->grad-cam) (1.3.0)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Install GradCam\n",
+    "%pip install grad-cam"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import all the required modules\n",
+    "import os\n",
+    "os.environ['KMP_DUPLICATE_LIB_OK']='True'\n",
+    "import math\n",
+    "from collections import OrderedDict\n",
+    "import sys\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.nn.functional as F\n",
+    "import torch.optim as optim\n",
+    "from torchvision import datasets, transforms\n",
+    "\n",
+    "\n",
+    "import albumentations as A\n",
+    "from albumentations.pytorch import ToTensorV2\n",
+    "\n",
+    "\n",
+    "from torch_lr_finder import LRFinder\n",
+    "\n",
+    "from pytorch_grad_cam import GradCAM\n",
+    "from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget\n",
+    "from pytorch_grad_cam.utils.image import show_cam_on_image\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Files already downloaded and verified\n",
+      "Files already downloaded and verified\n"
+     ]
+    }
+   ],
+   "source": [
+    "train = datasets.CIFAR10('./data', train=True, download=True, transform=transforms.ToTensor())\n",
+    "test = datasets.CIFAR10('./data', train=False, download=True, transform=transforms.ToTensor())\n",
+    "\n",
+    "classes = ('plane', 'car', 'bird', 'cat', 'deer',\n",
+    "           'dog', 'frog', 'horse', 'ship', 'truck')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: torchsummary in i:\\tsai\\2024\\era v2\\s13\\.venv\\lib\\site-packages (1.5.1)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 23.2.1 -> 24.0\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install torchsummary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Train]\n",
+      " - Total Train Images: 50000\n",
+      " - Tensor Shape: (3, 32, 32)\n",
+      " - min: (0.0, 0.0, 0.0)\n",
+      " - max: (1.0, 1.0, 1.0)\n",
+      " - mean: (0.49139968, 0.48215827, 0.44653124)\n",
+      " - std: (0.24703233, 0.24348505, 0.26158768)\n",
+      " - var: (0.061024975, 0.05928497, 0.06842812)\n",
+      "[Test]\n",
+      " - Total Test Images: 10000\n",
+      " - Tensor Shape: (3, 32, 32)\n",
+      " - min: (0.0, 0.0, 0.0)\n",
+      " - max: (1.0, 1.0, 1.0)\n",
+      " - mean: (0.49421427, 0.48513183, 0.45040932)\n",
+      " - std: (0.24665256, 0.24289224, 0.26159248)\n",
+      " - var: (0.06083748, 0.058996636, 0.06843062)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from utils import get_cifar_statistics\n",
+    "\n",
+    "get_cifar_statistics(train)\n",
+    "get_cifar_statistics(test, data_set_type=\"Test\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: seaborn in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (0.12.2)\n",
+      "Requirement already satisfied: numpy!=1.24.0,>=1.17 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from seaborn) (1.25.1)\n",
+      "Requirement already satisfied: pandas>=0.25 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from seaborn) (2.0.3)\n",
+      "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from seaborn) (3.7.2)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.1.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.41.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n",
+      "Requirement already satisfied: packaging>=20.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.1)\n",
+      "Requirement already satisfied: pillow>=6.2.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (10.0.0)\n",
+      "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n",
+      "Requirement already satisfied: importlib-resources>=3.2.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (6.0.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from pandas>=0.25->seaborn) (2023.3)\n",
+      "Requirement already satisfied: tzdata>=2022.1 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from pandas>=0.25->seaborn) (2023.3)\n",
+      "Requirement already satisfied: zipp>=3.1.0 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from importlib-resources>=3.2.0->matplotlib!=3.6.1,>=3.1->seaborn) (3.16.2)\n",
+      "Requirement already satisfied: six>=1.5 in i:\\tsai\\2023\\era\\s11\\.venv\\lib\\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install seaborn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "i:\\TSAI\\2023\\ERA\\S11\\visualize.py:78: UserWarning: The figure layout has changed to tight\n",
+      "  plt.tight_layout()\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from visualize import display_cifar_data_samples\n",
+    "\n",
+    "DISPLAY_SAMPLES = 20\n",
+    "sample, _ = train[4]\n",
+    "display_cifar_data_samples(train, DISPLAY_SAMPLES, classes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Files already downloaded and verified\n",
+      "Files already downloaded and verified\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datasets import AlbumDataset\n",
+    "from augmentations import train_set_transforms, test_set_transforms\n",
+    "\n",
+    "# Get the dictionary with augmentations\n",
+    "train_transforms = A.Compose(train_set_transforms.values())\n",
+    "test_transforms = A.Compose(test_set_transforms.values())\n",
+    "\n",
+    "# Create custom Dataset to support albumentations library\n",
+    "train_set = AlbumDataset('./data', train=True, download=True, transform=train_transforms)\n",
+    "test_set = AlbumDataset('./data', train=False, download=True, transform=test_transforms)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Files already downloaded and verified\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
+     ]
+    }
+   ],
+   "source": [
+    "from visualize import visualize_cifar_augmentation\n",
+    "\n",
+    "aug_train = AlbumDataset('./data', train=True, download=True)\n",
+    "\n",
+    "aug_set_transforms = {\n",
+    "    'randomcrop': A.RandomCrop(height=32, width=32, p=1),\n",
+    "    'horizontalflip': A.HorizontalFlip(p=1),\n",
+    "    'cutout': A.CoarseDropout(max_holes=1, max_height=16, max_width=16, min_holes=1, min_height=1, min_width=1, fill_value=(0.49139968*255, 0.48215827*255, 0.44653124*255), mask_fill_value=None, p=1),\n",
+    "    'normalize': A.Normalize((0.49139968, 0.48215827 ,0.44653124), (0.24703233, 0.24348505, 0.26158768)),\n",
+    "    'standardize': ToTensorV2(),\n",
+    "}\n",
+    "\n",
+    "visualize_cifar_augmentation(aug_train, aug_set_transforms)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CUDA Available? True\n"
+     ]
+    }
+   ],
+   "source": [
+    "SEED = 8\n",
+    "BATCH_SIZE = 512\n",
+    "\n",
+    "# CUDA?\n",
+    "cuda = torch.cuda.is_available()\n",
+    "print(\"CUDA Available?\", cuda)\n",
+    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+    "\n",
+    "# For reproducibility\n",
+    "torch.manual_seed(SEED)\n",
+    "\n",
+    "if cuda:\n",
+    "    torch.cuda.manual_seed(SEED)\n",
+    "\n",
+    "# dataloader arguments - something you'll fetch these from cmdprmt\n",
+    "dataloader_args = dict(shuffle=True, batch_size=BATCH_SIZE, num_workers=0, pin_memory=True) if cuda else dict(shuffle=True, batch_size=64)\n",
+    "\n",
+    "# train dataloader\n",
+    "train_loader = torch.utils.data.DataLoader(train_set, **dataloader_args)\n",
+    "\n",
+    "# test dataloader\n",
+    "test_loader = torch.utils.data.DataLoader(test_set, **dataloader_args)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "----------------------------------------------------------------\n",
+      "        Layer (type)               Output Shape         Param #\n",
+      "================================================================\n",
+      "            Conv2d-1           [-1, 64, 32, 32]           1,728\n",
+      "       BatchNorm2d-2           [-1, 64, 32, 32]             128\n",
+      "            Conv2d-3           [-1, 64, 32, 32]          36,864\n",
+      "       BatchNorm2d-4           [-1, 64, 32, 32]             128\n",
+      "            Conv2d-5           [-1, 64, 32, 32]          36,864\n",
+      "       BatchNorm2d-6           [-1, 64, 32, 32]             128\n",
+      "        BasicBlock-7           [-1, 64, 32, 32]               0\n",
+      "            Conv2d-8           [-1, 64, 32, 32]          36,864\n",
+      "       BatchNorm2d-9           [-1, 64, 32, 32]             128\n",
+      "           Conv2d-10           [-1, 64, 32, 32]          36,864\n",
+      "      BatchNorm2d-11           [-1, 64, 32, 32]             128\n",
+      "       BasicBlock-12           [-1, 64, 32, 32]               0\n",
+      "           Conv2d-13          [-1, 128, 16, 16]          73,728\n",
+      "      BatchNorm2d-14          [-1, 128, 16, 16]             256\n",
+      "           Conv2d-15          [-1, 128, 16, 16]         147,456\n",
+      "      BatchNorm2d-16          [-1, 128, 16, 16]             256\n",
+      "           Conv2d-17          [-1, 128, 16, 16]           8,192\n",
+      "      BatchNorm2d-18          [-1, 128, 16, 16]             256\n",
+      "       BasicBlock-19          [-1, 128, 16, 16]               0\n",
+      "           Conv2d-20          [-1, 128, 16, 16]         147,456\n",
+      "      BatchNorm2d-21          [-1, 128, 16, 16]             256\n",
+      "           Conv2d-22          [-1, 128, 16, 16]         147,456\n",
+      "      BatchNorm2d-23          [-1, 128, 16, 16]             256\n",
+      "       BasicBlock-24          [-1, 128, 16, 16]               0\n",
+      "           Conv2d-25            [-1, 256, 8, 8]         294,912\n",
+      "      BatchNorm2d-26            [-1, 256, 8, 8]             512\n",
+      "           Conv2d-27            [-1, 256, 8, 8]         589,824\n",
+      "      BatchNorm2d-28            [-1, 256, 8, 8]             512\n",
+      "           Conv2d-29            [-1, 256, 8, 8]          32,768\n",
+      "      BatchNorm2d-30            [-1, 256, 8, 8]             512\n",
+      "       BasicBlock-31            [-1, 256, 8, 8]               0\n",
+      "           Conv2d-32            [-1, 256, 8, 8]         589,824\n",
+      "      BatchNorm2d-33            [-1, 256, 8, 8]             512\n",
+      "           Conv2d-34            [-1, 256, 8, 8]         589,824\n",
+      "      BatchNorm2d-35            [-1, 256, 8, 8]             512\n",
+      "       BasicBlock-36            [-1, 256, 8, 8]               0\n",
+      "           Conv2d-37            [-1, 512, 4, 4]       1,179,648\n",
+      "      BatchNorm2d-38            [-1, 512, 4, 4]           1,024\n",
+      "           Conv2d-39            [-1, 512, 4, 4]       2,359,296\n",
+      "      BatchNorm2d-40            [-1, 512, 4, 4]           1,024\n",
+      "           Conv2d-41            [-1, 512, 4, 4]         131,072\n",
+      "      BatchNorm2d-42            [-1, 512, 4, 4]           1,024\n",
+      "       BasicBlock-43            [-1, 512, 4, 4]               0\n",
+      "           Conv2d-44            [-1, 512, 4, 4]       2,359,296\n",
+      "      BatchNorm2d-45            [-1, 512, 4, 4]           1,024\n",
+      "           Conv2d-46            [-1, 512, 4, 4]       2,359,296\n",
+      "      BatchNorm2d-47            [-1, 512, 4, 4]           1,024\n",
+      "       BasicBlock-48            [-1, 512, 4, 4]               0\n",
+      "           Linear-49                   [-1, 10]           5,130\n",
+      "================================================================\n",
+      "Total params: 11,173,962\n",
+      "Trainable params: 11,173,962\n",
+      "Non-trainable params: 0\n",
+      "----------------------------------------------------------------\n",
+      "Input size (MB): 0.01\n",
+      "Forward/backward pass size (MB): 11.25\n",
+      "Params size (MB): 42.63\n",
+      "Estimated Total Size (MB): 53.89\n",
+      "----------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "from resnet import ResNet18\n",
+    "from utils import get_summary\n",
+    "\n",
+    "get_summary(ResNet18(), (3, 32, 32))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Put the model on selected device\n",
+    "model = ResNet18().to(device)\n",
+    "\n",
+    "# Optimization algorithm to update the weights\n",
+    "LEARNING_RATE = 0.03\n",
+    "WEIGHT_DECAY = 1e-4\n",
+    "optimizer = optim.SGD(model.parameters(), lr=LEARNING_RATE, momentum=0.9, weight_decay=WEIGHT_DECAY)\n",
+    "\n",
+    "# Loss Function\n",
+    "criterion = nn.CrossEntropyLoss()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "49a63689e8674aac92105f38c43560c9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/200 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Learning rate search finished. See the graph with {finder_name}.plot()\n",
+      "LR suggestion: steepest gradient\n",
+      "Suggested LR: 6.79E-02\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# LR finder\n",
+    "from torch_lr_finder import LRFinder\n",
+    "lr_finder2 = LRFinder(model, optimizer, criterion, device='cuda')\n",
+    "lr_finder2.range_test(train_loader, end_lr=10, num_iter=200, step_mode=\"exp\")\n",
+    "lr_finder2.plot()\n",
+    "lr_finder2.reset()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "EPOCHS = 20\n",
+    "\n",
+    "MAX_LR = 6.79E-02    # Suggested LR\n",
+    "STEPS_PER_EPOCH = len(train_loader)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from training_utils import train, test, get_lr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=1.3552 Batch_id=97 Accuracy=37.66: 100%|██████████| 98/98 [00:19<00:00,  5.15it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0030, Accuracy: 4707/10000 (47.07%)\n",
+      "\n",
+      "Epoch 2\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.9453 Batch_id=97 Accuracy=60.56: 100%|██████████| 98/98 [00:19<00:00,  5.16it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0028, Accuracy: 5467/10000 (54.67%)\n",
+      "\n",
+      "Epoch 3\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.7217 Batch_id=97 Accuracy=71.21: 100%|██████████| 98/98 [00:19<00:00,  4.92it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0018, Accuracy: 6940/10000 (69.40%)\n",
+      "\n",
+      "Epoch 4\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.6053 Batch_id=97 Accuracy=77.48: 100%|██████████| 98/98 [00:19<00:00,  5.00it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0014, Accuracy: 7571/10000 (75.71%)\n",
+      "\n",
+      "Epoch 5\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.5059 Batch_id=97 Accuracy=80.69: 100%|██████████| 98/98 [00:19<00:00,  5.09it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0017, Accuracy: 7232/10000 (72.32%)\n",
+      "\n",
+      "Epoch 6\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.4920 Batch_id=97 Accuracy=83.48: 100%|██████████| 98/98 [00:18<00:00,  5.17it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0012, Accuracy: 8026/10000 (80.26%)\n",
+      "\n",
+      "Epoch 7\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.4215 Batch_id=97 Accuracy=85.32: 100%|██████████| 98/98 [00:18<00:00,  5.17it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0020, Accuracy: 7132/10000 (71.32%)\n",
+      "\n",
+      "Epoch 8\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.3810 Batch_id=97 Accuracy=87.61: 100%|██████████| 98/98 [00:19<00:00,  5.05it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0014, Accuracy: 7967/10000 (79.67%)\n",
+      "\n",
+      "Epoch 9\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.2669 Batch_id=97 Accuracy=89.86: 100%|██████████| 98/98 [00:19<00:00,  5.15it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0014, Accuracy: 7969/10000 (79.69%)\n",
+      "\n",
+      "Epoch 10\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.2618 Batch_id=97 Accuracy=91.54: 100%|██████████| 98/98 [00:18<00:00,  5.20it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0014, Accuracy: 8022/10000 (80.22%)\n",
+      "\n",
+      "Epoch 11\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.1927 Batch_id=97 Accuracy=92.33: 100%|██████████| 98/98 [00:18<00:00,  5.18it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0012, Accuracy: 8227/10000 (82.27%)\n",
+      "\n",
+      "Epoch 12\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.2309 Batch_id=97 Accuracy=94.08: 100%|██████████| 98/98 [00:19<00:00,  5.12it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0013, Accuracy: 8298/10000 (82.98%)\n",
+      "\n",
+      "Epoch 13\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.1270 Batch_id=97 Accuracy=94.88: 100%|██████████| 98/98 [00:18<00:00,  5.17it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0012, Accuracy: 8312/10000 (83.12%)\n",
+      "\n",
+      "Epoch 14\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.1091 Batch_id=97 Accuracy=95.72: 100%|██████████| 98/98 [00:19<00:00,  5.11it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0015, Accuracy: 8033/10000 (80.33%)\n",
+      "\n",
+      "Epoch 15\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.0989 Batch_id=97 Accuracy=96.56: 100%|██████████| 98/98 [00:19<00:00,  5.12it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0011, Accuracy: 8493/10000 (84.93%)\n",
+      "\n",
+      "Epoch 16\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.1195 Batch_id=97 Accuracy=97.48: 100%|██████████| 98/98 [00:19<00:00,  5.15it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0012, Accuracy: 8445/10000 (84.45%)\n",
+      "\n",
+      "Epoch 17\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.0582 Batch_id=97 Accuracy=98.06: 100%|██████████| 98/98 [00:18<00:00,  5.20it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0010, Accuracy: 8751/10000 (87.51%)\n",
+      "\n",
+      "Epoch 18\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.0329 Batch_id=97 Accuracy=98.58: 100%|██████████| 98/98 [00:18<00:00,  5.17it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0010, Accuracy: 8789/10000 (87.89%)\n",
+      "\n",
+      "Epoch 19\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.0411 Batch_id=97 Accuracy=99.05: 100%|██████████| 98/98 [00:18<00:00,  5.19it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0009, Accuracy: 8873/10000 (88.73%)\n",
+      "\n",
+      "Epoch 20\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Train: Loss=0.0087 Batch_id=97 Accuracy=99.24: 100%|██████████| 98/98 [00:19<00:00,  5.11it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set: Average loss: 0.0009, Accuracy: 8895/10000 (88.95%)\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Data to plot accuracy and loss graphs\n",
+    "train_losses = []\n",
+    "test_losses = []\n",
+    "train_acc = []\n",
+    "test_acc = []\n",
+    "learning_rates = []\n",
+    "test_incorrect_pred = {'images': [], 'ground_truths': [], 'predicted_vals': []}\n",
+    "\n",
+    "# Scheduler\n",
+    "scheduler = torch.optim.lr_scheduler.OneCycleLR(optimizer,\n",
+    "                                                max_lr=MAX_LR,\n",
+    "                                                steps_per_epoch=STEPS_PER_EPOCH,\n",
+    "                                                epochs=EPOCHS,\n",
+    "                                                pct_start=int(0.3*EPOCHS)/EPOCHS if EPOCHS != 1 else 0.5,   # 30% of total number of Epochs\n",
+    "                                                div_factor=100,\n",
+    "                                                three_phase=False,\n",
+    "                                                final_div_factor=100,\n",
+    "                                                anneal_strategy=\"linear\"\n",
+    "                                                )\n",
+    "\n",
+    "# For each epoch\n",
+    "for epoch in range(1, EPOCHS+1):\n",
+    "    print(f'Epoch {epoch}')\n",
+    "\n",
+    "    # Train the model on training dataset and append the training loss and accuracy\n",
+    "    correct, processed, train_loss = train(model, device, train_loader, optimizer, criterion, scheduler)\n",
+    "    train_acc.append(100 * correct / processed)\n",
+    "    train_losses.append(train_loss / len(train_loader))\n",
+    "    learning_rates.append(get_lr(optimizer))\n",
+    "\n",
+    "    # Test the model's performance on test dataset and append the training loss and accuracy\n",
+    "    correct, test_loss = test(model, device, test_loader, criterion)\n",
+    "    test_acc.append(100. * correct / len(test_loader.dataset))\n",
+    "    test_losses.append(test_loss)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Print loss and accuracy\n",
+    "from visualize import display_loss_and_accuracies\n",
+    "\n",
+    "display_loss_and_accuracies(train_losses, train_acc, test_losses, test_acc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Training Learning Rate')"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.plot(learning_rates)\n",
+    "plt.title(\"Training Learning Rate\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "torch.cuda.is_available()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<All keys matched successfully>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# torch.save(model.state_dict(), \"model.pth\")\n",
+    "model.load_state_dict(torch.load(\"model.pth\"), strict=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Put the model on selected device\n",
+    "model = ResNet18().to(device)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from utils import get_misclassified_data\n",
+    "from visualize import display_cifar_misclassified_data\n",
+    "\n",
+    "# Denormalize the data using test mean and std deviation\n",
+    "inv_normalize = transforms.Normalize(\n",
+    "    mean=[-0.50/0.23, -0.50/0.23, -0.50/0.23],\n",
+    "    std=[1/0.23, 1/0.23, 1/0.23]\n",
+    ")\n",
+    "\n",
+    "# Get the misclassified data from test dataset\n",
+    "misclassified_data = get_misclassified_data(model, device, test_loader)\n",
+    "\n",
+    "# Plot the misclassified data\n",
+    "display_cifar_misclassified_data(misclassified_data, classes, inv_normalize, number_of_samples=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from utils import display_gradcam_output\n",
+    "\n",
+    "target_layers = [model.layer4[-1]]\n",
+    "# targets = [ClassifierOutputTarget(7)]\n",
+    "targets = None\n",
+    "\n",
+    "display_gradcam_output(misclassified_data, classes, inv_normalize, model, target_layers, targets, number_of_samples=20, transparency=0.70)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "target_layers = [model.layer3[-2]]\n",
+    "display_gradcam_output(misclassified_data, classes, inv_normalize, model, target_layers, targets, number_of_samples=20, transparency=0.70)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from visualize import visualize_confusion_matrix\n",
+    "\n",
+    "visualize_confusion_matrix(classes, device, model, test_loader)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\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/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "\n",
+    "def hello(input1, input2, input3):\n",
+    "    return f'{input1} + {input2} Rohan'\n",
+    "\n",
+    "demo = gr.Interface(hello, [\"text\", gr.Slider(0, 5, step=1), gr.Image(shape=(32, 32))], \"text\")\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Rohan\\AppData\\Local\\Temp\\ipykernel_26288\\2465537796.py:24: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n",
+      "  demo = gr.Interface(inference, [gr.Image(shape=(32, 32)), gr.Slider(0, 1)], [\"text\", gr.Image(shape=(32, 32)).style(width=128, height=128)])\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7861\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Traceback (most recent call last):\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\gradio\\routes.py\", line 442, in run_predict\n",
+      "    output = await app.get_blocks().process_api(\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\gradio\\blocks.py\", line 1392, in process_api\n",
+      "    result = await self.call_function(\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\gradio\\blocks.py\", line 1097, in call_function\n",
+      "    prediction = await anyio.to_thread.run_sync(\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\anyio\\to_thread.py\", line 33, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 877, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 807, in run\n",
+      "    result = context.run(func, *args)\n",
+      "  File \"i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\gradio\\utils.py\", line 703, in wrapper\n",
+      "    response = f(*args, **kwargs)\n",
+      "  File \"C:\\Users\\Rohan\\AppData\\Local\\Temp\\ipykernel_26288\\2465537796.py\", line 15, in inference\n",
+      "    grayscale_cam = cam(input_tensor=input_img, targets=targets)\n",
+      "NameError: name 'targets' is not defined\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import gradio as gr\n",
+    "from PIL import Image\n",
+    "from pytorch_grad_cam import GradCAM\n",
+    "\n",
+    "def inference(input_img, transparency):\n",
+    "    transform = transforms.ToTensor()\n",
+    "    input_img = transform(input_img)\n",
+    "    input_img = input_img.to(device)\n",
+    "    input_img = input_img.unsqueeze(0)\n",
+    "    outputs = model(input_img)\n",
+    "    _, prediction = torch.max(outputs, 1)\n",
+    "    target_layers = [model.layer2[-2]]\n",
+    "    cam = GradCAM(model=model, target_layers=target_layers, use_cuda=True)\n",
+    "    grayscale_cam = cam(input_tensor=input_img, targets=targets)\n",
+    "    grayscale_cam = grayscale_cam[0, :]\n",
+    "    img = input_img.squeeze(0).to('cpu')\n",
+    "    img = inv_normalize(img)\n",
+    "    rgb_img = np.transpose(img, (1, 2, 0))\n",
+    "    rgb_img = rgb_img.numpy()\n",
+    "    visualization = show_cam_on_image(rgb_img, grayscale_cam, use_rgb=True, image_weight=transparency)\n",
+    "    return classes[prediction[0].item()], visualization\n",
+    "\n",
+    "demo = gr.Interface(inference, [gr.Image(shape=(32, 32)), gr.Slider(0, 1)], [\"text\", gr.Image(shape=(32, 32)).style(width=128, height=128)])\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7862\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7862/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def hello(name, times):\n",
+    "  return f'Hello {name}\\n'*times\n",
+    "\n",
+    "text_demo = gr.Interface(\n",
+    "    fn = hello,\n",
+    "    inputs=['text', 'slider'],\n",
+    "    outputs=['text']\n",
+    ")\n",
+    "\n",
+    "text_demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Components\n",
+    "Gradio includes more than 30 pre-built components (as well as many user-built custom components) that can be used as inputs or outputs in your demo with a single line of code. These components correspond to common data types in machine learning and data science, e.g. the gr.Image component is designed to handle input or output images, the gr.Label component displays classification labels and probabilities, the gr.Plot component displays various kinds of plots, and so on.\n",
+    "\n",
+    "![img](https://github.com/gradio-app/gradio/blob/main/guides/assets/dataflow.svg?raw=true)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7863\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7863/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# images\n",
+    "def image_classifier(img):\n",
+    "  return {'cat': 0.3, 'dog': 0.7}\n",
+    "\n",
+    "img_demo = gr.Interface(\n",
+    "    fn=image_classifier,\n",
+    "    inputs=\"image\",\n",
+    "    outputs=\"label\"\n",
+    ")\n",
+    "img_demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7864\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7864/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Chat\n",
+    "def echo(message, history):\n",
+    "  return message\n",
+    "\n",
+    "demo = gr.ChatInterface(\n",
+    "    fn = echo,\n",
+    "    examples=[\"hello\", \"hola\", \"namaste\"],\n",
+    "    title=\"Echo bot\"\n",
+    ")\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "i:\\TSAI\\2024\\ERA V2\\S13\\.venv\\lib\\site-packages\\gradio\\blocks.py:942: UserWarning: api_name predict already exists, using predict_1\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7865\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7865/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Tabs\n",
+    "\n",
+    "demo = gr.TabbedInterface(\n",
+    "    interface_list = [text_demo, img_demo],\n",
+    "    tab_names = [\"Text Demo\", \"Image Demo\"]\n",
+    ")\n",
+    "\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7866\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7866/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "def update(name):\n",
+    "    return f\"Welcome to Gradio, {name}!\"\n",
+    "\n",
+    "with gr.Blocks() as demo:\n",
+    "    gr.Markdown(\"Start typing below and then click **Run** to see the output.\")\n",
+    "    with gr.Row():\n",
+    "        inp = gr.Textbox(placeholder=\"What is your name?\")\n",
+    "        out = gr.Textbox()\n",
+    "    btn = gr.Button(\"Run\")\n",
+    "    btn.click(fn=update, inputs=inp, outputs=out)\n",
+    "\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7867\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7867/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import gradio as gr\n",
+    "\n",
+    "\n",
+    "def flip_text(x):\n",
+    "    return x[::-1]\n",
+    "\n",
+    "\n",
+    "def flip_image(x):\n",
+    "    return np.fliplr(x)\n",
+    "\n",
+    "\n",
+    "with gr.Blocks() as demo:\n",
+    "    gr.Markdown(\"Flip text or image files using this demo.\")\n",
+    "    with gr.Tab(\"Flip Text\"):\n",
+    "        text_input = gr.Textbox()\n",
+    "        text_output = gr.Textbox()\n",
+    "        text_button = gr.Button(\"Flip\")\n",
+    "    with gr.Tab(\"Flip Image\"):\n",
+    "        with gr.Row():\n",
+    "            image_input = gr.Image()\n",
+    "            image_output = gr.Image()\n",
+    "        image_button = gr.Button(\"Flip\")\n",
+    "\n",
+    "    with gr.Accordion(\"Open for More!\", open=False):\n",
+    "        gr.Markdown(\"Look at me...\")\n",
+    "        temp_slider = gr.Slider(\n",
+    "            minimum=0.0,\n",
+    "            maximum=1.0,\n",
+    "            value=0.1,\n",
+    "            step=0.1,\n",
+    "            interactive=True,\n",
+    "            label=\"Slide me\",\n",
+    "        )\n",
+    "        temp_slider.change(lambda x: x, [temp_slider])\n",
+    "\n",
+    "    text_button.click(flip_text, inputs=text_input, outputs=text_output)\n",
+    "    image_button.click(flip_image, inputs=image_input, outputs=image_output)\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7868\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7868/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "import gradio as gr\n",
+    "\n",
+    "\n",
+    "def plot(v, a):\n",
+    "    g = 9.81\n",
+    "    theta = a / 180 * 3.14\n",
+    "    tmax = ((2 * v) * np.sin(theta)) / g\n",
+    "    timemat = tmax * np.linspace(0, 1, 40)\n",
+    "\n",
+    "    x = (v * timemat) * np.cos(theta)\n",
+    "    y = ((v * timemat) * np.sin(theta)) - ((0.5 * g) * (timemat**2))\n",
+    "    df = pd.DataFrame({\"x\": x, \"y\": y})\n",
+    "    return df\n",
+    "\n",
+    "\n",
+    "demo = gr.Blocks()\n",
+    "\n",
+    "with demo:\n",
+    "    gr.Markdown(\n",
+    "        r\"Let's do some kinematics! Choose the speed and angle to see the trajectory. Remember that the range $R = v_0^2 \\cdot \\frac{\\sin(2\\theta)}{g}$\"\n",
+    "    )\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        speed = gr.Slider(1, 30, 25, label=\"Speed\")\n",
+    "        angle = gr.Slider(0, 90, 45, label=\"Angle\")\n",
+    "    output = gr.LinePlot(\n",
+    "        x=\"x\",\n",
+    "        y=\"y\",\n",
+    "        overlay_point=True,\n",
+    "        tooltip=[\"x\", \"y\"],\n",
+    "        x_lim=[0, 100],\n",
+    "        y_lim=[0, 60],\n",
+    "        width=350,\n",
+    "        height=300,\n",
+    "    )\n",
+    "    btn = gr.Button(value=\"Run\")\n",
+    "    btn.click(plot, [speed, angle], output)\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7869\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7869/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "import numpy as np\n",
+    "import random\n",
+    "\n",
+    "with gr.Blocks() as demo:\n",
+    "    section_labels = [\n",
+    "        \"apple\",\n",
+    "        \"banana\",\n",
+    "        \"carrot\",\n",
+    "        \"donut\",\n",
+    "        \"eggplant\",\n",
+    "        \"fish\",\n",
+    "        \"grapes\",\n",
+    "        \"hamburger\",\n",
+    "        \"ice cream\",\n",
+    "        \"juice\",\n",
+    "    ]\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        num_boxes = gr.Slider(0, 5, 2, step=1, label=\"Number of boxes\")\n",
+    "        num_segments = gr.Slider(0, 5, 1, step=1, label=\"Number of segments\")\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        img_input = gr.Image()\n",
+    "        img_output = gr.AnnotatedImage(\n",
+    "            color_map={\"banana\": \"#a89a00\", \"carrot\": \"#ffae00\"}\n",
+    "        )\n",
+    "\n",
+    "    section_btn = gr.Button(\"Identify Sections\")\n",
+    "    selected_section = gr.Textbox(label=\"Selected Section\")\n",
+    "\n",
+    "    def section(img, num_boxes, num_segments):\n",
+    "        sections = []\n",
+    "        for a in range(num_boxes):\n",
+    "            x = random.randint(0, img.shape[1])\n",
+    "            y = random.randint(0, img.shape[0])\n",
+    "            w = random.randint(0, img.shape[1] - x)\n",
+    "            h = random.randint(0, img.shape[0] - y)\n",
+    "            sections.append(((x, y, x + w, y + h), section_labels[a]))\n",
+    "        for b in range(num_segments):\n",
+    "            x = random.randint(0, img.shape[1])\n",
+    "            y = random.randint(0, img.shape[0])\n",
+    "            r = random.randint(0, min(x, y, img.shape[1] - x, img.shape[0] - y))\n",
+    "            mask = np.zeros(img.shape[:2])\n",
+    "            for i in range(img.shape[0]):\n",
+    "                for j in range(img.shape[1]):\n",
+    "                    dist_square = (i - y) ** 2 + (j - x) ** 2\n",
+    "                    if dist_square < r**2:\n",
+    "                        mask[i, j] = round((r**2 - dist_square) / r**2 * 4) / 4\n",
+    "            sections.append((mask, section_labels[b + num_boxes]))\n",
+    "        return (img, sections)\n",
+    "\n",
+    "    section_btn.click(section, [img_input, num_boxes, num_segments], img_output)\n",
+    "\n",
+    "    def select_section(evt: gr.SelectData):\n",
+    "        return section_labels[evt.index]\n",
+    "\n",
+    "    img_output.select(select_section, None, selected_section)\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7870\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7870/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import gradio as gr\n",
+    "\n",
+    "notes = [\"C\", \"C#\", \"D\", \"D#\", \"E\", \"F\", \"F#\", \"G\", \"G#\", \"A\", \"A#\", \"B\"]\n",
+    "\n",
+    "def generate_tone(note, octave, duration):\n",
+    "    sr = 48000\n",
+    "    a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)\n",
+    "    frequency = a4_freq * 2 ** (tones_from_a4 / 12)\n",
+    "    duration = int(duration)\n",
+    "    audio = np.linspace(0, duration, duration * sr)\n",
+    "    audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)\n",
+    "    return sr, audio\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    generate_tone,\n",
+    "    [\n",
+    "        gr.Dropdown(notes, type=\"index\"),\n",
+    "        gr.Slider(4, 6, step=1),\n",
+    "        gr.Textbox(value=1, label=\"Duration in seconds\"),\n",
+    "    ],\n",
+    "    \"audio\",\n",
+    ")\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7871\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7871/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "import numpy as np\n",
+    "import os\n",
+    "from PIL import Image, ImageColor\n",
+    "\n",
+    "\n",
+    "def change_color(icon, color):\n",
+    "\n",
+    "    \"\"\"\n",
+    "    Function that given an icon in .png format changes its color\n",
+    "    Args:\n",
+    "        icon: Icon whose color needs to be changed.\n",
+    "        color: Chosen color with which to edit the input icon.\n",
+    "    Returns:\n",
+    "        edited_image: Edited icon.\n",
+    "    \"\"\"\n",
+    "    img = icon.convert(\"LA\")\n",
+    "    img = img.convert(\"RGBA\")\n",
+    "    image_np = np.array(icon)\n",
+    "    _, _, _, alpha = image_np.T\n",
+    "    mask = alpha > 0\n",
+    "    image_np[..., :-1][mask.T] = ImageColor.getcolor(color, \"RGB\")\n",
+    "    edited_image = Image.fromarray(image_np)\n",
+    "    return edited_image\n",
+    "\n",
+    "\n",
+    "inputs = [\n",
+    "    gr.Image(label=\"icon\", type=\"pil\", image_mode=\"RGBA\"),\n",
+    "    gr.ColorPicker(label=\"color\"),\n",
+    "]\n",
+    "outputs = gr.Image(label=\"colored icon\")\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    fn=change_color,\n",
+    "    inputs=inputs,\n",
+    "    outputs=outputs\n",
+    ")\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()\n",
+    "\n",
+    "\t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}