{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.) Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-30 10:13:32.230370: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-01-30 10:13:32.234656: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-01-30 10:13:32.248550: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "E0000 00:00:1738212212.279462 1320083 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "E0000 00:00:1738212212.287111 1320083 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2025-01-30 10:13:32.317759: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from PIL import Image\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from glob import glob\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.layers import Input, Dense, Flatten, Dropout, GlobalAveragePooling2D\n",
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.optimizers import Adamax\n",
    "from tensorflow.keras.metrics import Precision, Recall\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.) Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Path to dataset files: /home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1\n"
     ]
    }
   ],
   "source": [
    "import kagglehub\n",
    "\n",
    "# Download latest version\n",
    "path = kagglehub.dataset_download(\"masoudnickparvar/brain-tumor-mri-dataset\")\n",
    "\n",
    "print(\"Path to dataset files:\", path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['glioma', 'pituitary', 'notumor', 'meningioma']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_dir = r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Training'\n",
    "\n",
    "folds = os.listdir(train_dir)\n",
    "folds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_df(tr_path):\n",
    "    classes, class_paths = zip(*[(label, os.path.join(tr_path, label, image))\n",
    "                                 for label in os.listdir(tr_path) if os.path.isdir(os.path.join(tr_path, label))\n",
    "                                 for image in os.listdir(os.path.join(tr_path, label))])\n",
    "\n",
    "    tr_df = pd.DataFrame({'Class Path': class_paths, 'Class': classes})\n",
    "    return tr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_df(ts_path):\n",
    "    classes, class_paths = zip(*[(label, os.path.join(ts_path, label, image))\n",
    "                                 for label in os.listdir(ts_path) if os.path.isdir(os.path.join(ts_path, label))\n",
    "                                 for image in os.listdir(os.path.join(ts_path, label))])\n",
    "\n",
    "    ts_df = pd.DataFrame({'Class Path': class_paths, 'Class': classes})\n",
    "    return ts_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class Path</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5707</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5708</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5709</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5710</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5711</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5712 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Class Path       Class\n",
       "0     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "1     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "2     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "3     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "4     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "...                                                 ...         ...\n",
       "5707  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "5708  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "5709  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "5710  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "5711  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "\n",
       "[5712 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tr_df = train_df(r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Training')\n",
    "tr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class Path</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1311 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Class Path       Class\n",
       "0     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "1     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "2     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "3     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "4     /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "...                                                 ...         ...\n",
       "1306  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "1307  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "1308  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "1309  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "1310  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "\n",
       "[1311 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_df = test_df(r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Testing')\n",
    "ts_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Split data into train,test and valid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_df, ts_df = train_test_split(ts_df, train_size=0.5, random_state=42, stratify=ts_df['Class'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class Path</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>notumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1034</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>notumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>glioma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>notumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>/home/agilecpu154/.cache/kagglehub/datasets/ma...</td>\n",
       "      <td>meningioma</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>655 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Class Path       Class\n",
       "837   /home/agilecpu154/.cache/kagglehub/datasets/ma...     notumor\n",
       "1034  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "770   /home/agilecpu154/.cache/kagglehub/datasets/ma...     notumor\n",
       "158   /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "1296  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "...                                                 ...         ...\n",
       "1182  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "127   /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "109   /home/agilecpu154/.cache/kagglehub/datasets/ma...      glioma\n",
       "758   /home/agilecpu154/.cache/kagglehub/datasets/ma...     notumor\n",
       "1175  /home/agilecpu154/.cache/kagglehub/datasets/ma...  meningioma\n",
       "\n",
       "[655 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valid_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Data PreProcessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 5712 validated image filenames belonging to 4 classes.\n",
      "Found 655 validated image filenames belonging to 4 classes.\n",
      "Found 656 validated image filenames belonging to 4 classes.\n"
     ]
    }
   ],
   "source": [
    "batch_size = 32\n",
    "img_size = (299, 299)\n",
    "\n",
    "_gen = ImageDataGenerator(rescale=1/255,\n",
    "                          brightness_range=(0.8, 1.2))\n",
    "\n",
    "ts_gen = ImageDataGenerator(rescale=1/255)\n",
    "\n",
    "\n",
    "tr_gen = _gen.flow_from_dataframe(tr_df, x_col='Class Path',\n",
    "                                  y_col='Class', batch_size=batch_size,\n",
    "                                  target_size=img_size)\n",
    "\n",
    "valid_gen = _gen.flow_from_dataframe(valid_df, x_col='Class Path',\n",
    "                                     y_col='Class', batch_size=batch_size,\n",
    "                                     target_size=img_size)\n",
    "\n",
    "ts_gen = ts_gen.flow_from_dataframe(ts_df, x_col='Class Path',\n",
    "                                  y_col='Class', batch_size=16,\n",
    "                                  target_size=img_size, shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Building Deep Learning Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-30 10:13:53.840764: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)\n"
     ]
    }
   ],
   "source": [
    "img_shape=(299,299,3)\n",
    "base_model = tf.keras.applications.Xception(include_top= False, weights= \"imagenet\",\n",
    "                            input_shape= img_shape, pooling= 'max')\n",
    "\n",
    "base_model.trainable = False\n",
    "\n",
    "inputs = Input(shape = img_shape)\n",
    "\n",
    "x = base_model(inputs)\n",
    "\n",
    "x = Flatten()(x)\n",
    "\n",
    "x = Dropout(rate= 0.3)(x)\n",
    "x = Dense(128, activation= 'relu')(x)\n",
    "x = Dropout(rate= 0.25)(x)\n",
    "x = Dense(4, activation= 'softmax')(x)\n",
    "    \n",
    "model = Model(inputs, x)\n",
    "\n",
    "model.compile(Adamax(learning_rate= 0.001),\n",
    "              loss= 'categorical_crossentropy',\n",
    "              metrics= ['accuracy',\n",
    "                        Precision(),\n",
    "                        Recall()]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You must install graphviz (see instructions at https://graphviz.gitlab.io/download/) for `plot_model` to work.\n"
     ]
    }
   ],
   "source": [
    "import pydot\n",
    "tf.keras.utils.plot_model(model, show_shapes=True, to_file='/kaggle/working/model.png', dpi=70)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-30 10:14:32.987462: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 177020928 exceeds 10% of free system memory.\n",
      "2025-01-30 10:14:33.410358: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 177020928 exceeds 10% of free system memory.\n",
      "2025-01-30 10:14:33.644193: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 354041856 exceeds 10% of free system memory.\n",
      "2025-01-30 10:14:34.254200: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 354041856 exceeds 10% of free system memory.\n",
      "2025-01-30 10:14:34.484259: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 354041856 exceeds 10% of free system memory.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1849s\u001b[0m 10s/step - accuracy: 0.6173 - loss: 1.1318 - precision: 0.6600 - recall: 0.5509 - val_accuracy: 0.8244 - val_loss: 0.4391 - val_precision: 0.8634 - val_recall: 0.7817\n",
      "Epoch 2/5\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2654s\u001b[0m 15s/step - accuracy: 0.8219 - loss: 0.4929 - precision: 0.8444 - recall: 0.7867 - val_accuracy: 0.8351 - val_loss: 0.4164 - val_precision: 0.8611 - val_recall: 0.8046\n",
      "Epoch 3/5\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2559s\u001b[0m 14s/step - accuracy: 0.8391 - loss: 0.4235 - precision: 0.8611 - recall: 0.8159 - val_accuracy: 0.8443 - val_loss: 0.3742 - val_precision: 0.8701 - val_recall: 0.8183\n",
      "Epoch 4/5\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2078s\u001b[0m 12s/step - accuracy: 0.8633 - loss: 0.3738 - precision: 0.8802 - recall: 0.8432 - val_accuracy: 0.8962 - val_loss: 0.3218 - val_precision: 0.9091 - val_recall: 0.8702\n",
      "Epoch 5/5\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1960s\u001b[0m 11s/step - accuracy: 0.8733 - loss: 0.3367 - precision: 0.8865 - recall: 0.8581 - val_accuracy: 0.8916 - val_loss: 0.2976 - val_precision: 0.9055 - val_recall: 0.8779\n"
     ]
    }
   ],
   "source": [
    "hist = model.fit(tr_gen,\n",
    "                 epochs=5,\n",
    "                 validation_data=valid_gen,\n",
    "                 shuffle= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
     ]
    }
   ],
   "source": [
    "model.save(\"results/brain_tumor_model.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['accuracy', 'loss', 'precision', 'recall', 'val_accuracy', 'val_loss', 'val_precision', 'val_recall'])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist.history.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'glioma': 0, 'meningioma': 1, 'notumor': 2, 'pituitary': 3}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tr_gen.class_indices"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Fine Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "133"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(base_model.layers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/2\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6156s\u001b[0m 34s/step - accuracy: 0.8788 - loss: 0.3437 - precision_2: 0.9044 - recall_2: 0.8567 - val_accuracy: 0.9435 - val_loss: 0.1301 - val_precision_2: 0.9450 - val_recall_2: 0.9435\n",
      "Epoch 2/2\n",
      "\u001b[1m179/179\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5506s\u001b[0m 31s/step - accuracy: 0.9814 - loss: 0.0527 - precision_2: 0.9822 - recall_2: 0.9808 - val_accuracy: 0.9802 - val_loss: 0.0601 - val_precision_2: 0.9802 - val_recall_2: 0.9802\n"
     ]
    }
   ],
   "source": [
    "base_model.trainable = True\n",
    "for layer in base_model.layers[:50]:\n",
    "    layer.trainable = False\n",
    "\n",
    "model.compile(Adamax(learning_rate= 0.001),\n",
    "              loss= 'categorical_crossentropy',\n",
    "              metrics= ['accuracy',\n",
    "                        Precision(),\n",
    "                        Recall()])\n",
    "\n",
    "history_fine = model.fit(tr_gen,\n",
    "                 epochs=2,\n",
    "                 validation_data=valid_gen,\n",
    "                 shuffle= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
     ]
    }
   ],
   "source": [
    "model.save(r\"/home/agilecpu154/Documents/Task-7 Brain Tumor CNN/final/brain_tumor_fine_tune.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['accuracy', 'loss', 'precision_2', 'recall_2', 'val_accuracy', 'val_loss', 'val_precision_2', 'val_recall_2'])\n"
     ]
    }
   ],
   "source": [
    "print(history_fine.history.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Visualisation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.1 Visualize model performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tr_acc = history_fine.history['accuracy']\n",
    "tr_loss = history_fine.history['loss']\n",
    "tr_per = history_fine.history['precision_2']\n",
    "tr_recall = history_fine.history['recall_2']\n",
    "val_acc = history_fine.history['val_accuracy']\n",
    "val_loss = history_fine.history['val_loss']\n",
    "val_per = history_fine.history['val_precision_2']\n",
    "val_recall = history_fine.history['val_recall_2']\n",
    "\n",
    "index_loss = np.argmin(val_loss)\n",
    "val_lowest = val_loss[index_loss]\n",
    "index_acc = np.argmax(val_acc)\n",
    "acc_highest = val_acc[index_acc]\n",
    "index_precision = np.argmax(val_per)\n",
    "per_highest = val_per[index_precision]\n",
    "index_recall = np.argmax(val_recall)\n",
    "recall_highest = val_recall[index_recall]\n",
    "\n",
    "Epochs = [i + 1 for i in range(len(tr_acc))]\n",
    "loss_label = f'Best epoch = {str(index_loss + 1)}'\n",
    "acc_label = f'Best epoch = {str(index_acc + 1)}'\n",
    "per_label = f'Best epoch = {str(index_precision + 1)}'\n",
    "recall_label = f'Best epoch = {str(index_recall + 1)}'\n",
    "\n",
    "# Define a modern style\n",
    "plt.style.use('ggplot')\n",
    "plt.figure(figsize=(20, 12))\n",
    "\n",
    "# Plot Training and Validation Loss\n",
    "plt.subplot(2, 2, 1)\n",
    "plt.plot(Epochs, tr_loss, color='red', label='Training Loss', linewidth=2)\n",
    "plt.plot(Epochs, val_loss, color='green', label='Validation Loss', linestyle='--', linewidth=2)\n",
    "plt.scatter(index_loss + 1, val_lowest, s=150, c='blue', label=loss_label, edgecolors='black')\n",
    "plt.title('Training and Validation Loss', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Epochs', fontsize=12)\n",
    "plt.ylabel('Loss', fontsize=12)\n",
    "plt.legend(fontsize=10)\n",
    "plt.grid(visible=True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# Plot Training and Validation Accuracy\n",
    "plt.subplot(2, 2, 2)\n",
    "plt.plot(Epochs, tr_acc, color='purple', label='Training Accuracy', linewidth=2)\n",
    "plt.plot(Epochs, val_acc, color='orange', label='Validation Accuracy', linestyle='--', linewidth=2)\n",
    "plt.scatter(index_acc + 1, acc_highest, s=150, c='blue', label=acc_label, edgecolors='black')\n",
    "plt.title('Training and Validation Accuracy', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Epochs', fontsize=12)\n",
    "plt.ylabel('Accuracy', fontsize=12)\n",
    "plt.legend(fontsize=10)\n",
    "plt.grid(visible=True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# Plot Precision and Validation Precision\n",
    "plt.subplot(2, 2, 3)\n",
    "plt.plot(Epochs, tr_per, color='teal', label='Training Precision', linewidth=2)\n",
    "plt.plot(Epochs, val_per, color='brown', label='Validation Precision', linestyle='--', linewidth=2)\n",
    "plt.scatter(index_precision + 1, per_highest, s=150, c='blue', label=per_label, edgecolors='black')\n",
    "plt.title('Precision and Validation Precision', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Epochs', fontsize=12)\n",
    "plt.ylabel('Precision', fontsize=12)\n",
    "plt.legend(fontsize=10)\n",
    "plt.grid(visible=True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# Plot Recall and Validation Recall\n",
    "plt.subplot(2, 2, 4)\n",
    "plt.plot(Epochs, tr_recall, color='darkblue', label='Training Recall', linewidth=2)\n",
    "plt.plot(Epochs, val_recall, color='darkgreen', label='Validation Recall', linestyle='--', linewidth=2)\n",
    "plt.scatter(index_recall + 1, recall_highest, s=150, c='blue', label=recall_label, edgecolors='black')\n",
    "plt.title('Recall and Validation Recall', fontsize=14, fontweight='bold')\n",
    "plt.xlabel('Epochs', fontsize=12)\n",
    "plt.ylabel('Recall', fontsize=12)\n",
    "plt.legend(fontsize=10)\n",
    "plt.grid(visible=True, linestyle='--', alpha=0.5)\n",
    "\n",
    "# Add a title for the entire figure\n",
    "plt.suptitle('Model Training Metrics Over Epochs', fontsize=18, fontweight='bold')\n",
    "plt.tight_layout(rect=[0, 0, 1, 0.96])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Testing and Evaluation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.1 Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m  3/179\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m31:58\u001b[0m 11s/step - accuracy: 1.0000 - loss: 0.0032 - precision_2: 1.0000 - recall_2: 1.0000    "
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[35], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m train_score \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtr_gen\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m valid_score \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mevaluate(valid_gen, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m      3\u001b[0m test_score \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mevaluate(ts_gen, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py:117\u001b[0m, in \u001b[0;36mfilter_traceback.<locals>.error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    115\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 117\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    119\u001b[0m     filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/keras/src/backend/tensorflow/trainer.py:484\u001b[0m, in \u001b[0;36mTensorFlowTrainer.evaluate\u001b[0;34m(self, x, y, batch_size, verbose, sample_weight, steps, callbacks, return_dict, **kwargs)\u001b[0m\n\u001b[1;32m    482\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m step, iterator \u001b[38;5;129;01min\u001b[39;00m epoch_iterator:\n\u001b[1;32m    483\u001b[0m     callbacks\u001b[38;5;241m.\u001b[39mon_test_batch_begin(step)\n\u001b[0;32m--> 484\u001b[0m     logs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtest_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    485\u001b[0m     callbacks\u001b[38;5;241m.\u001b[39mon_test_batch_end(step, logs)\n\u001b[1;32m    486\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstop_evaluating:\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/keras/src/backend/tensorflow/trainer.py:219\u001b[0m, in \u001b[0;36mTensorFlowTrainer._make_function.<locals>.function\u001b[0;34m(iterator)\u001b[0m\n\u001b[1;32m    215\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mfunction\u001b[39m(iterator):\n\u001b[1;32m    216\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\n\u001b[1;32m    217\u001b[0m         iterator, (tf\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mIterator, tf\u001b[38;5;241m.\u001b[39mdistribute\u001b[38;5;241m.\u001b[39mDistributedIterator)\n\u001b[1;32m    218\u001b[0m     ):\n\u001b[0;32m--> 219\u001b[0m         opt_outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmulti_step_on_iterator\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    220\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m opt_outputs\u001b[38;5;241m.\u001b[39mhas_value():\n\u001b[1;32m    221\u001b[0m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/util/traceback_utils.py:150\u001b[0m, in \u001b[0;36mfilter_traceback.<locals>.error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    148\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    149\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 150\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    152\u001b[0m   filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:833\u001b[0m, in \u001b[0;36mFunction.__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    830\u001b[0m compiler \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mxla\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnonXla\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    832\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m OptionalXlaContext(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile):\n\u001b[0;32m--> 833\u001b[0m   result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    835\u001b[0m new_tracing_count \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexperimental_get_tracing_count()\n\u001b[1;32m    836\u001b[0m without_tracing \u001b[38;5;241m=\u001b[39m (tracing_count \u001b[38;5;241m==\u001b[39m new_tracing_count)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:878\u001b[0m, in \u001b[0;36mFunction._call\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    875\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock\u001b[38;5;241m.\u001b[39mrelease()\n\u001b[1;32m    876\u001b[0m \u001b[38;5;66;03m# In this case we have not created variables on the first call. So we can\u001b[39;00m\n\u001b[1;32m    877\u001b[0m \u001b[38;5;66;03m# run the first trace but we should fail if variables are created.\u001b[39;00m\n\u001b[0;32m--> 878\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mtracing_compilation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    879\u001b[0m \u001b[43m    \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_variable_creation_config\u001b[49m\n\u001b[1;32m    880\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    881\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_created_variables:\n\u001b[1;32m    882\u001b[0m   \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCreating variables on a non-first call to a function\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    883\u001b[0m                    \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m decorated with tf.function.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compilation.py:139\u001b[0m, in \u001b[0;36mcall_function\u001b[0;34m(args, kwargs, tracing_options)\u001b[0m\n\u001b[1;32m    137\u001b[0m bound_args \u001b[38;5;241m=\u001b[39m function\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39mbind(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    138\u001b[0m flat_inputs \u001b[38;5;241m=\u001b[39m function\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39munpack_inputs(bound_args)\n\u001b[0;32m--> 139\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# pylint: disable=protected-access\u001b[39;49;00m\n\u001b[1;32m    140\u001b[0m \u001b[43m    \u001b[49m\u001b[43mflat_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcaptured_inputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfunction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcaptured_inputs\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py:1322\u001b[0m, in \u001b[0;36mConcreteFunction._call_flat\u001b[0;34m(self, tensor_inputs, captured_inputs)\u001b[0m\n\u001b[1;32m   1318\u001b[0m possible_gradient_type \u001b[38;5;241m=\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPossibleTapeGradientTypes(args)\n\u001b[1;32m   1319\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (possible_gradient_type \u001b[38;5;241m==\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPOSSIBLE_GRADIENT_TYPES_NONE\n\u001b[1;32m   1320\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m executing_eagerly):\n\u001b[1;32m   1321\u001b[0m   \u001b[38;5;66;03m# No tape is watching; skip to running the function.\u001b[39;00m\n\u001b[0;32m-> 1322\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_inference_function\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_preflattened\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1323\u001b[0m forward_backward \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_select_forward_and_backward_functions(\n\u001b[1;32m   1324\u001b[0m     args,\n\u001b[1;32m   1325\u001b[0m     possible_gradient_type,\n\u001b[1;32m   1326\u001b[0m     executing_eagerly)\n\u001b[1;32m   1327\u001b[0m forward_function, args_with_tangents \u001b[38;5;241m=\u001b[39m forward_backward\u001b[38;5;241m.\u001b[39mforward()\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/atomic_function.py:216\u001b[0m, in \u001b[0;36mAtomicFunction.call_preflattened\u001b[0;34m(self, args)\u001b[0m\n\u001b[1;32m    214\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mcall_preflattened\u001b[39m(\u001b[38;5;28mself\u001b[39m, args: Sequence[core\u001b[38;5;241m.\u001b[39mTensor]) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m    215\u001b[0m \u001b[38;5;250m  \u001b[39m\u001b[38;5;124;03m\"\"\"Calls with flattened tensor inputs and returns the structured output.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 216\u001b[0m   flat_outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    217\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunction_type\u001b[38;5;241m.\u001b[39mpack_output(flat_outputs)\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/atomic_function.py:251\u001b[0m, in \u001b[0;36mAtomicFunction.call_flat\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m record\u001b[38;5;241m.\u001b[39mstop_recording():\n\u001b[1;32m    250\u001b[0m   \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bound_context\u001b[38;5;241m.\u001b[39mexecuting_eagerly():\n\u001b[0;32m--> 251\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bound_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    252\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    253\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    254\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunction_type\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mflat_outputs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    255\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    256\u001b[0m   \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    257\u001b[0m     outputs \u001b[38;5;241m=\u001b[39m make_call_op_in_graph(\n\u001b[1;32m    258\u001b[0m         \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    259\u001b[0m         \u001b[38;5;28mlist\u001b[39m(args),\n\u001b[1;32m    260\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bound_context\u001b[38;5;241m.\u001b[39mfunction_call_options\u001b[38;5;241m.\u001b[39mas_attrs(),\n\u001b[1;32m    261\u001b[0m     )\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/context.py:1683\u001b[0m, in \u001b[0;36mContext.call_function\u001b[0;34m(self, name, tensor_inputs, num_outputs)\u001b[0m\n\u001b[1;32m   1681\u001b[0m cancellation_context \u001b[38;5;241m=\u001b[39m cancellation\u001b[38;5;241m.\u001b[39mcontext()\n\u001b[1;32m   1682\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cancellation_context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1683\u001b[0m   outputs \u001b[38;5;241m=\u001b[39m \u001b[43mexecute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1684\u001b[0m \u001b[43m      \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mutf-8\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1685\u001b[0m \u001b[43m      \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_outputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1686\u001b[0m \u001b[43m      \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtensor_inputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1687\u001b[0m \u001b[43m      \u001b[49m\u001b[43mattrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1688\u001b[0m \u001b[43m      \u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1689\u001b[0m \u001b[43m  \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1690\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1691\u001b[0m   outputs \u001b[38;5;241m=\u001b[39m execute\u001b[38;5;241m.\u001b[39mexecute_with_cancellation(\n\u001b[1;32m   1692\u001b[0m       name\u001b[38;5;241m.\u001b[39mdecode(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m   1693\u001b[0m       num_outputs\u001b[38;5;241m=\u001b[39mnum_outputs,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1697\u001b[0m       cancellation_manager\u001b[38;5;241m=\u001b[39mcancellation_context,\n\u001b[1;32m   1698\u001b[0m   )\n",
      "File \u001b[0;32m~/Documents/Task-7 Brain Tumor CNN/env/lib/python3.10/site-packages/tensorflow/python/eager/execute.py:53\u001b[0m, in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m     51\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     52\u001b[0m   ctx\u001b[38;5;241m.\u001b[39mensure_initialized()\n\u001b[0;32m---> 53\u001b[0m   tensors \u001b[38;5;241m=\u001b[39m \u001b[43mpywrap_tfe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mTFE_Py_Execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     54\u001b[0m \u001b[43m                                      \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m core\u001b[38;5;241m.\u001b[39m_NotOkStatusException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m     56\u001b[0m   \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "train_score = model.evaluate(tr_gen, verbose=1)\n",
    "valid_score = model.evaluate(valid_gen, verbose=1)\n",
    "test_score = model.evaluate(ts_gen, verbose=1)\n",
    "\n",
    "print(f\"Train Loss: {train_score[0]:.4f}\")\n",
    "print(f\"Train Accuracy: {train_score[1]*100:.2f}%\")\n",
    "print('-' * 20)\n",
    "print(f\"Validation Loss: {valid_score[0]:.4f}\")\n",
    "print(f\"Validation Accuracy: {valid_score[1]*100:.2f}%\")\n",
    "print('-' * 20)\n",
    "print(f\"Test Loss: {test_score[0]:.4f}\")\n",
    "print(f\"Test Accuracy: {test_score[1]*100:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m41/41\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m219s\u001b[0m 5s/step\n"
     ]
    }
   ],
   "source": [
    "preds = model.predict(ts_gen)\n",
    "y_pred = np.argmax(preds, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_dict = tr_gen.class_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(ts_gen.classes, y_pred)\n",
    "labels = list(class_dict.keys())\n",
    "plt.figure(figsize=(10,8))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Reds', xticklabels=labels, yticklabels=labels)\n",
    "plt.xlabel('Predicted Label')\n",
    "plt.ylabel('Truth Label')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.99      0.99       150\n",
      "           1       0.98      0.99      0.99       153\n",
      "           2       1.00      1.00      1.00       203\n",
      "           3       1.00      1.00      1.00       150\n",
      "\n",
      "    accuracy                           0.99       656\n",
      "   macro avg       0.99      0.99      0.99       656\n",
      "weighted avg       0.99      0.99      0.99       656\n",
      "\n"
     ]
    }
   ],
   "source": [
    "clr = classification_report(ts_gen.classes, y_pred)\n",
    "print(clr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.2 Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(img_path):\n",
    "    import numpy as np\n",
    "    import matplotlib.pyplot as plt\n",
    "    from PIL import Image\n",
    "    label = list(class_dict.keys())\n",
    "    plt.figure(figsize=(12, 12))\n",
    "    img = Image.open(img_path)\n",
    "    resized_img = img.resize((299, 299))\n",
    "    img = np.asarray(resized_img)\n",
    "    img = np.expand_dims(img, axis=0)\n",
    "    img = img / 255\n",
    "    predictions = model.predict(img)\n",
    "    probs = list(predictions[0])\n",
    "    labels = label\n",
    "    plt.subplot(2, 1, 1)\n",
    "    plt.imshow(resized_img)\n",
    "    plt.subplot(2, 1, 2)\n",
    "    bars = plt.barh(labels, probs)\n",
    "    plt.xlabel('Probability', fontsize=15)\n",
    "    ax = plt.gca()\n",
    "    ax.bar_label(bars, fmt = '%.2f')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 2s/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predict(r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Testing/meningioma/Te-meTr_0000.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 576ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predict(r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Testing/glioma/Te-glTr_0007.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 568ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predict(r'/home/agilecpu154/.cache/kagglehub/datasets/masoudnickparvar/brain-tumor-mri-dataset/versions/1/Testing/notumor/Te-noTr_0001.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. GRadio Interface for classifying brain tumors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Running on local URL:  http://127.0.0.1:7861\n",
      "* Running on public URL: https://f76ce94557f9059997.gradio.live\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"https://f76ce94557f9059997.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
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    {
     "data": {
      "text/plain": []
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gradio as gr\n",
    "import numpy as np\n",
    "\n",
    "# Load the model\n",
    "\n",
    "model.load_weights(\"final/brain_tumor_fine_tune.h5\")\n",
    "\n",
    "\n",
    "class_names = [\n",
    "    'glioma',\n",
    "    'meningioma',\n",
    "    'notumor',\n",
    "    'pituitary',\n",
    "]\n",
    "\n",
    "def classify_tumor(input_image):\n",
    "    \n",
    "    img = Image.fromarray(input_image)\n",
    "    resized_img = img.resize((299, 299))\n",
    "    img = np.asarray(resized_img)\n",
    "    img = np.expand_dims(img, axis=0)\n",
    "    img = img / 255\n",
    "    prediction = model.predict(img)\n",
    "    \n",
    "    confidences = {class_names[i]: float(prediction[0][i]) for i in range(len(class_names))}\n",
    "    \n",
    "    return {class_name: conf for class_name, conf in sorted(confidences.items(), key=lambda x: x[1], reverse=True)}\n",
    "\n",
    "iface = gr.Interface(\n",
    "    fn=classify_tumor,\n",
    "    inputs=gr.Image(type=\"numpy\"),\n",
    "    outputs=gr.Label(num_top_classes=5),\n",
    "    title=\"Brain Tumor Classification\",\n",
    "    description=\"Upload an image of a Brain to classify its tumor.\",\n",
    "    theme=gr.themes.Soft()\n",
    ")\n",
    "\n",
    "# Launch the interface\n",
    "iface.launch(share=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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