diff --git a/src/captcha.ipynb b/src/captcha.ipynb
index 591152fd8bc..3fffbb00435 100644
--- a/src/captcha.ipynb
+++ b/src/captcha.ipynb
@@ -217,48 +217,10 @@
       },
       "outputs": [],
       "source": [
-        "modelDAO = ModelDAO(inColab)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "cpxO7yGAMf3z"
-      },
-      "outputs": [],
-      "source": [
-        "charNumConverter = CharNumConverter(CaptchaGenerator.characters)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "tVb5nDFTMf3z"
-      },
-      "outputs": [],
-      "source": [
-        "predictionsDecoder = PredictionsDecoder(CaptchaGenerator.captchaLength, charNumConverter.num_to_char)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "captchaShape = CaptchaShape()"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "s35OUslsMf30"
-      },
-      "outputs": [],
-      "source": [
+        "modelDAO = ModelDAO(inColab)\n",
+        "charNumConverter = CharNumConverter(CaptchaGenerator.characters)\n",
+        "predictionsDecoder = PredictionsDecoder(CaptchaGenerator.captchaLength, charNumConverter.num_to_char)\n",
+        "captchaShape = CaptchaShape()\n",
         "datasetFactory = DatasetFactory(captchaShape, charNumConverter.char_to_num, batch_size = 64)"
       ]
     },
@@ -336,17 +298,6 @@
         "    displayImagesInGrid(4, images, predictionsDecoder.asStrings(labels), ['black'] * len(labels))"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "V8ELN-qJ3MGe"
-      },
-      "outputs": [],
-      "source": [
-        "modelFactory = ModelFactory(captchaShape, charNumConverter.char_to_num)"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -355,6 +306,7 @@
       },
       "outputs": [],
       "source": [
+        "modelFactory = ModelFactory(captchaShape, charNumConverter.char_to_num)\n",
         "model = modelFactory.createMobileNetV3Small()\n",
         "model.summary()"
       ]