Amazing-Python-Scripts

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{
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  "nbformat": 4,
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  "nbformat_minor": 0,
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  "metadata": {
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    "colab": {
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      "provenance": [],
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      "gpuType": "T4"
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    },
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    "kernelspec": {
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      "name": "python3",
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      "display_name": "Python 3"
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    },
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    "language_info": {
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      "name": "python"
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    }
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  },
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  "cells": [
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    {
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      "cell_type": "code",
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      "execution_count": 18,
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      "metadata": {
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        "id": "FiqgsDxSDlZ7"
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      },
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      "outputs": [],
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      "source": [
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        "import numpy as np\n",
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        "import os\n",
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        "import random\n",
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        "import matplotlib.pyplot as plt\n",
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        "import tensorflow as tf\n",
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        "from tensorflow import keras\n",
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        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
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        "from google.colab import files\n",
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        "from tensorflow.keras.preprocessing.image import img_to_array, load_img"
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      ]
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    },
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    {
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      "cell_type": "code",
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      "source": [
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        "!unzip /content/dataset.zip -d /content/dataset\n"
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      ],
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      "metadata": {
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        "colab": {
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          "base_uri": "https://localhost:8080/"
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        },
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        "id": "gvh_Cm0NVWUC",
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        "outputId": "558c2de0-635f-4fb3-de55-5c781730ff09"
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      },
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      "execution_count": 6,
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      "outputs": [
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        {
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          "output_type": "stream",
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          "name": "stdout",
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          "text": [
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            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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          ]
5057
        }
5058
      ]
5059
    },
5060
    {
5061
      "cell_type": "code",
5062
      "source": [
5063
        "train_data=ImageDataGenerator(rescale=1./255)"
5064
      ],
5065
      "metadata": {
5066
        "id": "ZzCvlKF7Vv31"
5067
      },
5068
      "execution_count": 7,
5069
      "outputs": []
5070
    },
5071
    {
5072
      "cell_type": "code",
5073
      "source": [
5074
        "train_dataset=train_data.flow_from_directory(\"/content/dataset/dataset/training_set\",target_size=(224,224),batch_size=128,class_mode=\"binary\")"
5075
      ],
5076
      "metadata": {
5077
        "colab": {
5078
          "base_uri": "https://localhost:8080/"
5079
        },
5080
        "id": "7agCNCOrV6zt",
5081
        "outputId": "90216699-1329-47a3-b87a-1b4f1f41da94"
5082
      },
5083
      "execution_count": 8,
5084
      "outputs": [
5085
        {
5086
          "output_type": "stream",
5087
          "name": "stdout",
5088
          "text": [
5089
            "Found 8000 images belonging to 2 classes.\n"
5090
          ]
5091
        }
5092
      ]
5093
    },
5094
    {
5095
      "cell_type": "code",
5096
      "source": [
5097
        "test_dataset=train_data.flow_from_directory(\"/content/dataset/dataset/test_set\",target_size=(224,224),batch_size=128,class_mode=\"binary\")"
5098
      ],
5099
      "metadata": {
5100
        "colab": {
5101
          "base_uri": "https://localhost:8080/"
5102
        },
5103
        "id": "bZehBDZQWb0V",
5104
        "outputId": "c832409e-7201-4d70-a721-3e789ca6aea6"
5105
      },
5106
      "execution_count": 9,
5107
      "outputs": [
5108
        {
5109
          "output_type": "stream",
5110
          "name": "stdout",
5111
          "text": [
5112
            "Found 2000 images belonging to 2 classes.\n"
5113
          ]
5114
        }
5115
      ]
5116
    },
5117
    {
5118
      "cell_type": "code",
5119
      "source": [
5120
        "nn=tf.keras.models.Sequential([\n",
5121
        "    tf.keras.layers.Conv2D(64,(3,3),activation=\"relu\",input_shape=(224,224,3),padding=\"same\"),\n",
5122
        "    tf.keras.layers.MaxPooling2D(2,2),\n",
5123
        "     tf.keras.layers.Conv2D(64,(3,3),activation=\"relu\",padding=\"same\"),\n",
5124
        "     tf.keras.layers.MaxPooling2D(2,2),\n",
5125
        "     tf.keras.layers.Conv2D(64,(3,3),activation=\"relu\"),\n",
5126
        "     tf.keras.layers.MaxPooling2D(2,2),\n",
5127
        "     tf.keras.layers.Flatten(),\n",
5128
        "    tf.keras.layers.Dense(128,activation=\"relu\"),\n",
5129
        "    tf.keras.layers.Dense(64,activation=\"relu\"),\n",
5130
        "    tf.keras.layers.Dense(1,activation=\"sigmoid\")\n",
5131
        "\n",
5132
        "])"
5133
      ],
5134
      "metadata": {
5135
        "id": "ly9jNWT-Wtxm"
5136
      },
5137
      "execution_count": 10,
5138
      "outputs": []
5139
    },
5140
    {
5141
      "cell_type": "code",
5142
      "source": [
5143
        "nn.summary()"
5144
      ],
5145
      "metadata": {
5146
        "colab": {
5147
          "base_uri": "https://localhost:8080/"
5148
        },
5149
        "id": "CEQkOuPeadZr",
5150
        "outputId": "eb540751-bf61-4004-bc6c-324bfa93613b"
5151
      },
5152
      "execution_count": 11,
5153
      "outputs": [
5154
        {
5155
          "output_type": "stream",
5156
          "name": "stdout",
5157
          "text": [
5158
            "Model: \"sequential\"\n",
5159
            "_________________________________________________________________\n",
5160
            " Layer (type)                Output Shape              Param #   \n",
5161
            "=================================================================\n",
5162
            " conv2d (Conv2D)             (None, 224, 224, 64)      1792      \n",
5163
            "                                                                 \n",
5164
            " max_pooling2d (MaxPooling2D  (None, 112, 112, 64)     0         \n",
5165
            " )                                                               \n",
5166
            "                                                                 \n",
5167
            " conv2d_1 (Conv2D)           (None, 112, 112, 64)      36928     \n",
5168
            "                                                                 \n",
5169
            " max_pooling2d_1 (MaxPooling  (None, 56, 56, 64)       0         \n",
5170
            " 2D)                                                             \n",
5171
            "                                                                 \n",
5172
            " conv2d_2 (Conv2D)           (None, 54, 54, 64)        36928     \n",
5173
            "                                                                 \n",
5174
            " max_pooling2d_2 (MaxPooling  (None, 27, 27, 64)       0         \n",
5175
            " 2D)                                                             \n",
5176
            "                                                                 \n",
5177
            " flatten (Flatten)           (None, 46656)             0         \n",
5178
            "                                                                 \n",
5179
            " dense (Dense)               (None, 128)               5972096   \n",
5180
            "                                                                 \n",
5181
            " dense_1 (Dense)             (None, 64)                8256      \n",
5182
            "                                                                 \n",
5183
            " dense_2 (Dense)             (None, 1)                 65        \n",
5184
            "                                                                 \n",
5185
            "=================================================================\n",
5186
            "Total params: 6,056,065\n",
5187
            "Trainable params: 6,056,065\n",
5188
            "Non-trainable params: 0\n",
5189
            "_________________________________________________________________\n"
5190
          ]
5191
        }
5192
      ]
5193
    },
5194
    {
5195
      "cell_type": "code",
5196
      "source": [
5197
        "nn.compile(loss=\"binary_crossentropy\",optimizer=\"adam\",metrics=[\"accuracy\"])"
5198
      ],
5199
      "metadata": {
5200
        "id": "OQ01VwXjXV5i"
5201
      },
5202
      "execution_count": 12,
5203
      "outputs": []
5204
    },
5205
    {
5206
      "cell_type": "code",
5207
      "source": [
5208
        "history=nn.fit(\n",
5209
        "    train_dataset,epochs=10,validation_data=test_dataset\n",
5210
        ")"
5211
      ],
5212
      "metadata": {
5213
        "colab": {
5214
          "base_uri": "https://localhost:8080/"
5215
        },
5216
        "id": "sMTvXhWgX2-E",
5217
        "outputId": "d0c6b9e0-d98b-4348-dadb-b475807d1428"
5218
      },
5219
      "execution_count": 13,
5220
      "outputs": [
5221
        {
5222
          "output_type": "stream",
5223
          "name": "stdout",
5224
          "text": [
5225
            "Epoch 1/10\n",
5226
            "63/63 [==============================] - 1640s 26s/step - loss: 0.6885 - accuracy: 0.5525 - val_loss: 0.6228 - val_accuracy: 0.6465\n",
5227
            "Epoch 2/10\n",
5228
            "63/63 [==============================] - 1623s 26s/step - loss: 0.5908 - accuracy: 0.6716 - val_loss: 0.5494 - val_accuracy: 0.7310\n",
5229
            "Epoch 3/10\n",
5230
            "63/63 [==============================] - 1595s 25s/step - loss: 0.5394 - accuracy: 0.7220 - val_loss: 0.5148 - val_accuracy: 0.7500\n",
5231
            "Epoch 4/10\n",
5232
            "63/63 [==============================] - 1594s 25s/step - loss: 0.4782 - accuracy: 0.7654 - val_loss: 0.4943 - val_accuracy: 0.7610\n",
5233
            "Epoch 5/10\n",
5234
            "63/63 [==============================] - 1586s 25s/step - loss: 0.4096 - accuracy: 0.8101 - val_loss: 0.4975 - val_accuracy: 0.7725\n",
5235
            "Epoch 6/10\n",
5236
            "63/63 [==============================] - 1588s 25s/step - loss: 0.3389 - accuracy: 0.8472 - val_loss: 0.5495 - val_accuracy: 0.7495\n",
5237
            "Epoch 7/10\n",
5238
            "63/63 [==============================] - 1576s 25s/step - loss: 0.2546 - accuracy: 0.8957 - val_loss: 0.5840 - val_accuracy: 0.7620\n",
5239
            "Epoch 8/10\n",
5240
            "63/63 [==============================] - 1562s 25s/step - loss: 0.1773 - accuracy: 0.9309 - val_loss: 0.6790 - val_accuracy: 0.7685\n",
5241
            "Epoch 9/10\n",
5242
            "63/63 [==============================] - 1544s 25s/step - loss: 0.1180 - accuracy: 0.9556 - val_loss: 0.7999 - val_accuracy: 0.7725\n",
5243
            "Epoch 10/10\n",
5244
            "63/63 [==============================] - 1488s 24s/step - loss: 0.0596 - accuracy: 0.9795 - val_loss: 1.0268 - val_accuracy: 0.7580\n"
5245
          ]
5246
        }
5247
      ]
5248
    },
5249
    {
5250
      "cell_type": "code",
5251
      "source": [
5252
        "uploaded_file = files.upload()\n",
5253
        "uploaded_image_path = list(uploaded_file.keys())[0]"
5254
      ],
5255
      "metadata": {
5256
        "colab": {
5257
          "base_uri": "https://localhost:8080/",
5258
          "height": 71
5259
        },
5260
        "id": "vRt396ZFgGOP",
5261
        "outputId": "35b46f10-c073-4c84-9b3b-ca38652218ef"
5262
      },
5263
      "execution_count": 19,
5264
      "outputs": [
5265
        {
5266
          "output_type": "display_data",
5267
          "data": {
5268
            "text/plain": [
5269
              "<IPython.core.display.HTML object>"
5270
            ],
5271
            "text/html": [
5272
              "\n",
5273
              "     <input type=\"file\" id=\"files-3fb0ccbd-8387-42f7-bbb6-32f735097325\" name=\"files[]\" multiple disabled\n",
5274
              "        style=\"border:none\" />\n",
5275
              "     <output id=\"result-3fb0ccbd-8387-42f7-bbb6-32f735097325\">\n",
5276
              "      Upload widget is only available when the cell has been executed in the\n",
5277
              "      current browser session. Please rerun this cell to enable.\n",
5278
              "      </output>\n",
5279
              "      <script>// Copyright 2017 Google LLC\n",
5280
              "//\n",
5281
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
5282
              "// you may not use this file except in compliance with the License.\n",
5283
              "// You may obtain a copy of the License at\n",
5284
              "//\n",
5285
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
5286
              "//\n",
5287
              "// Unless required by applicable law or agreed to in writing, software\n",
5288
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
5289
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
5290
              "// See the License for the specific language governing permissions and\n",
5291
              "// limitations under the License.\n",
5292
              "\n",
5293
              "/**\n",
5294
              " * @fileoverview Helpers for google.colab Python module.\n",
5295
              " */\n",
5296
              "(function(scope) {\n",
5297
              "function span(text, styleAttributes = {}) {\n",
5298
              "  const element = document.createElement('span');\n",
5299
              "  element.textContent = text;\n",
5300
              "  for (const key of Object.keys(styleAttributes)) {\n",
5301
              "    element.style[key] = styleAttributes[key];\n",
5302
              "  }\n",
5303
              "  return element;\n",
5304
              "}\n",
5305
              "\n",
5306
              "// Max number of bytes which will be uploaded at a time.\n",
5307
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
5308
              "\n",
5309
              "function _uploadFiles(inputId, outputId) {\n",
5310
              "  const steps = uploadFilesStep(inputId, outputId);\n",
5311
              "  const outputElement = document.getElementById(outputId);\n",
5312
              "  // Cache steps on the outputElement to make it available for the next call\n",
5313
              "  // to uploadFilesContinue from Python.\n",
5314
              "  outputElement.steps = steps;\n",
5315
              "\n",
5316
              "  return _uploadFilesContinue(outputId);\n",
5317
              "}\n",
5318
              "\n",
5319
              "// This is roughly an async generator (not supported in the browser yet),\n",
5320
              "// where there are multiple asynchronous steps and the Python side is going\n",
5321
              "// to poll for completion of each step.\n",
5322
              "// This uses a Promise to block the python side on completion of each step,\n",
5323
              "// then passes the result of the previous step as the input to the next step.\n",
5324
              "function _uploadFilesContinue(outputId) {\n",
5325
              "  const outputElement = document.getElementById(outputId);\n",
5326
              "  const steps = outputElement.steps;\n",
5327
              "\n",
5328
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
5329
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
5330
              "    // Cache the last promise value to make it available to the next\n",
5331
              "    // step of the generator.\n",
5332
              "    outputElement.lastPromiseValue = value;\n",
5333
              "    return next.value.response;\n",
5334
              "  });\n",
5335
              "}\n",
5336
              "\n",
5337
              "/**\n",
5338
              " * Generator function which is called between each async step of the upload\n",
5339
              " * process.\n",
5340
              " * @param {string} inputId Element ID of the input file picker element.\n",
5341
              " * @param {string} outputId Element ID of the output display.\n",
5342
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
5343
              " */\n",
5344
              "function* uploadFilesStep(inputId, outputId) {\n",
5345
              "  const inputElement = document.getElementById(inputId);\n",
5346
              "  inputElement.disabled = false;\n",
5347
              "\n",
5348
              "  const outputElement = document.getElementById(outputId);\n",
5349
              "  outputElement.innerHTML = '';\n",
5350
              "\n",
5351
              "  const pickedPromise = new Promise((resolve) => {\n",
5352
              "    inputElement.addEventListener('change', (e) => {\n",
5353
              "      resolve(e.target.files);\n",
5354
              "    });\n",
5355
              "  });\n",
5356
              "\n",
5357
              "  const cancel = document.createElement('button');\n",
5358
              "  inputElement.parentElement.appendChild(cancel);\n",
5359
              "  cancel.textContent = 'Cancel upload';\n",
5360
              "  const cancelPromise = new Promise((resolve) => {\n",
5361
              "    cancel.onclick = () => {\n",
5362
              "      resolve(null);\n",
5363
              "    };\n",
5364
              "  });\n",
5365
              "\n",
5366
              "  // Wait for the user to pick the files.\n",
5367
              "  const files = yield {\n",
5368
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
5369
              "    response: {\n",
5370
              "      action: 'starting',\n",
5371
              "    }\n",
5372
              "  };\n",
5373
              "\n",
5374
              "  cancel.remove();\n",
5375
              "\n",
5376
              "  // Disable the input element since further picks are not allowed.\n",
5377
              "  inputElement.disabled = true;\n",
5378
              "\n",
5379
              "  if (!files) {\n",
5380
              "    return {\n",
5381
              "      response: {\n",
5382
              "        action: 'complete',\n",
5383
              "      }\n",
5384
              "    };\n",
5385
              "  }\n",
5386
              "\n",
5387
              "  for (const file of files) {\n",
5388
              "    const li = document.createElement('li');\n",
5389
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
5390
              "    li.append(span(\n",
5391
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
5392
              "        `last modified: ${\n",
5393
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
5394
              "                                    'n/a'} - `));\n",
5395
              "    const percent = span('0% done');\n",
5396
              "    li.appendChild(percent);\n",
5397
              "\n",
5398
              "    outputElement.appendChild(li);\n",
5399
              "\n",
5400
              "    const fileDataPromise = new Promise((resolve) => {\n",
5401
              "      const reader = new FileReader();\n",
5402
              "      reader.onload = (e) => {\n",
5403
              "        resolve(e.target.result);\n",
5404
              "      };\n",
5405
              "      reader.readAsArrayBuffer(file);\n",
5406
              "    });\n",
5407
              "    // Wait for the data to be ready.\n",
5408
              "    let fileData = yield {\n",
5409
              "      promise: fileDataPromise,\n",
5410
              "      response: {\n",
5411
              "        action: 'continue',\n",
5412
              "      }\n",
5413
              "    };\n",
5414
              "\n",
5415
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
5416
              "    let position = 0;\n",
5417
              "    do {\n",
5418
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
5419
              "      const chunk = new Uint8Array(fileData, position, length);\n",
5420
              "      position += length;\n",
5421
              "\n",
5422
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
5423
              "      yield {\n",
5424
              "        response: {\n",
5425
              "          action: 'append',\n",
5426
              "          file: file.name,\n",
5427
              "          data: base64,\n",
5428
              "        },\n",
5429
              "      };\n",
5430
              "\n",
5431
              "      let percentDone = fileData.byteLength === 0 ?\n",
5432
              "          100 :\n",
5433
              "          Math.round((position / fileData.byteLength) * 100);\n",
5434
              "      percent.textContent = `${percentDone}% done`;\n",
5435
              "\n",
5436
              "    } while (position < fileData.byteLength);\n",
5437
              "  }\n",
5438
              "\n",
5439
              "  // All done.\n",
5440
              "  yield {\n",
5441
              "    response: {\n",
5442
              "      action: 'complete',\n",
5443
              "    }\n",
5444
              "  };\n",
5445
              "}\n",
5446
              "\n",
5447
              "scope.google = scope.google || {};\n",
5448
              "scope.google.colab = scope.google.colab || {};\n",
5449
              "scope.google.colab._files = {\n",
5450
              "  _uploadFiles,\n",
5451
              "  _uploadFilesContinue,\n",
5452
              "};\n",
5453
              "})(self);\n",
5454
              "</script> "
5455
            ]
5456
          },
5457
          "metadata": {}
5458
        },
5459
        {
5460
          "output_type": "stream",
5461
          "name": "stdout",
5462
          "text": [
5463
            "Saving pngwing.com (1).png to pngwing.com (1) (1).png\n"
5464
          ]
5465
        }
5466
      ]
5467
    },
5468
    {
5469
      "cell_type": "code",
5470
      "source": [
5471
        "user_img = load_img(uploaded_image_path, target_size=(224, 224))\n",
5472
        "user_img_array = img_to_array(user_img)\n",
5473
        "user_img_array = np.expand_dims(user_img_array, axis=0)\n",
5474
        "user_img_array /= 255.0\n",
5475
        "user_prediction = nn.predict(user_img_array)\n",
5476
        "plt.imshow(user_img)\n",
5477
        "plt.axis('off')\n",
5478
        "if user_prediction[0][0] >= 0.5:\n",
5479
        "    print(\"The user-uploaded image is classified as a Dog\")\n",
5480
        "else:\n",
5481
        "    print(\"The user-uploaded image is classified as a Cat\")\n"
5482
      ],
5483
      "metadata": {
5484
        "colab": {
5485
          "base_uri": "https://localhost:8080/",
5486
          "height": 441
5487
        },
5488
        "id": "8MtZWmxTgfEX",
5489
        "outputId": "8bcc876f-8a66-4813-9c1a-8fba390e7223"
5490
      },
5491
      "execution_count": 20,
5492
      "outputs": [
5493
        {
5494
          "output_type": "stream",
5495
          "name": "stdout",
5496
          "text": [
5497
            "1/1 [==============================] - 0s 140ms/step\n",
5498
            "The user-uploaded image is classified as a Cat\n"
5499
          ]
5500
        },
5501
        {
5502
          "output_type": "display_data",
5503
          "data": {
5504
            "text/plain": [
5505
              "<Figure size 640x480 with 1 Axes>"
5506
            ],
5507
            "image/png": 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\n"
5508
          },
5509
          "metadata": {}
5510
        }
5511
      ]
5512
    }
5513
  ]
5514
}