diff --git a/Chapter12/SentimentAnalysis.ipynb b/Chapter12/SentimentAnalysis.ipynb
index 84d0370..40d5c41 100644
--- a/Chapter12/SentimentAnalysis.ipynb
+++ b/Chapter12/SentimentAnalysis.ipynb
@@ -178,79 +178,79 @@
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english).\n",
             "Using a pipeline without specifying a model name and revision in production is not recommended.\n"
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "The customer was very unhappy\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "config.json:   0%|          | 0.00/629 [00:00<?, ?B/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "7abd4bf659b84d12a27a1624a45987d5",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "7abd4bf659b84d12a27a1624a45987d5"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "config.json:   0%|          | 0.00/629 [00:00<?, ?B/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"
-            ],
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+              "model_id": "dbac134d8a504de8b19e0860cd7af7e5",
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-              "model_id": "dbac134d8a504de8b19e0860cd7af7e5"
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+              "version_minor": 0
+            },
+            "text/plain": [
+              "model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"
-            ],
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-              "model_id": "59e00f2dfb4d4b22b815c001da04b54c"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "9ee72588f4b64788b15d1cde37119fbf",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "9ee72588f4b64788b15d1cde37119fbf"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "[{'label': 'NEGATIVE', 'score': 0.9997097849845886}]\n"
           ]
@@ -283,26 +283,18 @@
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "wdxgeW0DgKuR"
+      },
       "source": [
         "# December 6,2023 OpenAI API update\n",
         "\n",
         "[This notebook has been updated. See README \"Getting Started with OpenAI API\" section before running this notebook](https://github.com/Denis2054/Transformers-for-NLP-2nd-Edition/blob/main/README.md#getting-started-with-openai-api)\n"
-      ],
-      "metadata": {
-        "id": "wdxgeW0DgKuR"
-      }
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "# December 4,2023 update : Tiktoken required to install OpenAI on Google Colab\n",
-        "# Tiktoken is a fast BPE tokenizer\n",
-        "!pip install tiktoken\n",
-        "\n",
-        "# December 4,2023 update : Cohere required to install OpenAI to implement language AI.\n",
-        "# Cohere platform: https://dashboard.cohere.com/\n",
-        "!pip install --upgrade cohere"
-      ],
+      "execution_count": 7,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -310,11 +302,10 @@
         "id": "olcODKoqgEi2",
         "outputId": "447781e1-0981-4abd-ead4-d486bd92699e"
       },
-      "execution_count": 7,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Collecting tiktoken\n",
             "  Downloading tiktoken-0.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n",
@@ -358,6 +349,15 @@
             "\u001b[0mSuccessfully installed backoff-2.2.1 cohere-4.37 fastavro-1.9.0\n"
           ]
         }
+      ],
+      "source": [
+        "# December 4,2023 update : Tiktoken required to install OpenAI on Google Colab\n",
+        "# Tiktoken is a fast BPE tokenizer\n",
+        "!pip install tiktoken\n",
+        "\n",
+        "# December 4,2023 update : Cohere required to install OpenAI to implement language AI.\n",
+        "# Cohere platform: https://dashboard.cohere.com/\n",
+        "!pip install --upgrade cohere"
       ]
     },
     {
@@ -372,8 +372,8 @@
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Collecting openai\n",
             "  Downloading openai-1.3.7-py3-none-any.whl (221 kB)\n",
@@ -405,21 +405,13 @@
         "try:\n",
         "  import openai\n",
         "except:\n",
-        "  !pip install openai\n",
+        "  !pip install openai==0.28 -qq\n",
         "  import openai"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "#API Key\n",
-        "#Store you key in a file and read it(you can type it directly in the notebook but it will be visible for somebody next to you)\n",
-        "from google.colab import drive\n",
-        "drive.mount('/content/drive')\n",
-        "f = open(\"drive/MyDrive/files/api_key.txt\", \"r\")\n",
-        "API_KEY=f.readline()\n",
-        "f.close()"
-      ],
+      "execution_count": 9,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -427,15 +419,23 @@
         "id": "4FfAkdA4g1Rn",
         "outputId": "204f516b-bcb5-4e15-cee5-8e3269defff3"
       },
-      "execution_count": 9,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Mounted at /content/drive\n"
           ]
         }
+      ],
+      "source": [
+        "#API Key\n",
+        "#Store you key in a file and read it(you can type it directly in the notebook but it will be visible for somebody next to you)\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')\n",
+        "f = open(\"drive/MyDrive/files/api_key.txt\", \"r\")\n",
+        "API_KEY=f.readline()\n",
+        "f.close()"
       ]
     },
     {
@@ -454,18 +454,18 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {
+        "id": "FLYQ_vuzgW-f"
+      },
+      "outputs": [],
       "source": [
         "from openai import OpenAI\n",
         "client = OpenAI(\n",
         "    # This is the default and can be omitted\n",
         "    api_key=os.environ.get(\"OPENAI_API_KEY\"),\n",
         ")"
-      ],
-      "metadata": {
-        "id": "FLYQ_vuzgW-f"
-      },
-      "execution_count": 11,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
@@ -479,8 +479,8 @@
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "1: Negative\n"
           ]
@@ -534,53 +534,86 @@
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