diff --git a/main.ipynb b/main.ipynb
index 65a586d..1b18941 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -59,138 +59,414 @@
     "outputId": "960151d8-f350-449e-9d92-eb4e6337de91"
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ERROR: Invalid requirement: '#': Expected package name at the start of dependency specifier\n",
+      "    #\n",
+      "    ^\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from requests->transformers) (2.2.1)\n",
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-      "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
       "Collecting sentencepiece\n",
-      "  Downloading sentencepiece-0.2.0-cp311-cp311-macosx_10_9_x86_64.whl.metadata (7.7 kB)\n",
-      "Downloading sentencepiece-0.2.0-cp311-cp311-macosx_10_9_x86_64.whl (1.2 MB)\n",
-      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m0:01\u001b[0m\n",
-      "\u001b[?25hInstalling collected packages: sentencepiece\n",
-      "Successfully installed sentencepiece-0.2.0\n",
-      "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+      "  Downloading sentencepiece-0.2.1-cp313-cp313-win_amd64.whl.metadata (10 kB)\n",
+      "Downloading sentencepiece-0.2.1-cp313-cp313-win_amd64.whl (1.1 MB)\n",
+      "   ---------------------------------------- 0.0/1.1 MB ? eta -:--:--\n",
+      "   --------- ------------------------------ 0.3/1.1 MB ? eta -:--:--\n",
+      "   ---------------------------------------- 1.1/1.1 MB 3.4 MB/s eta 0:00:00\n",
+      "Installing collected packages: sentencepiece\n",
+      "Successfully installed sentencepiece-0.2.1\n",
       "Collecting wikipedia\n",
-      "  Using cached wikipedia-1.4.0-py3-none-any.whl\n",
-      "Requirement already satisfied: beautifulsoup4 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from wikipedia) (4.12.3)\n",
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-      "Requirement already satisfied: soupsieve>1.2 in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (from beautifulsoup4->wikipedia) (2.5)\n",
+      "  Downloading wikipedia-1.4.0.tar.gz (27 kB)\n",
+      "  Preparing metadata (setup.py): started\n",
+      "  Preparing metadata (setup.py): finished with status 'done'\n",
+      "Requirement already satisfied: beautifulsoup4 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from wikipedia) (4.12.3)\n",
+      "Requirement already satisfied: requests<3.0.0,>=2.0.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from wikipedia) (2.32.3)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.7)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2.3.0)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2026.1.4)\n",
+      "Requirement already satisfied: soupsieve>1.2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from beautifulsoup4->wikipedia) (2.5)\n",
+      "Building wheels for collected packages: wikipedia\n",
+      "  Building wheel for wikipedia (setup.py): started\n",
+      "  Building wheel for wikipedia (setup.py): finished with status 'done'\n",
+      "  Created wheel for wikipedia: filename=wikipedia-1.4.0-py3-none-any.whl size=11704 sha256=9b626e686da55497f3f484f018b433b18d3641ceec22cd0f9737da43853be3f8\n",
+      "  Stored in directory: c:\\users\\con2m\\appdata\\local\\pip\\cache\\wheels\\79\\1d\\c8\\b64e19423cc5a2a339450ea5d145e7c8eb3d4aa2b150cde33b\n",
+      "Successfully built wikipedia\n",
       "Installing collected packages: wikipedia\n",
-      "Successfully installed wikipedia-1.4.0\n",
+      "Successfully installed wikipedia-1.4.0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  DEPRECATION: Building 'wikipedia' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'wikipedia'. Discussion can be found at https://github.com/pypa/pip/issues/6334\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting accelerate\n",
+      "  Downloading accelerate-1.13.0-py3-none-any.whl.metadata (19 kB)\n",
+      "Requirement already satisfied: numpy>=1.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from accelerate) (2.1.3)\n",
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+      "Downloading accelerate-1.13.0-py3-none-any.whl (383 kB)\n",
+      "Installing collected packages: accelerate\n",
+      "Successfully installed accelerate-1.13.0\n",
+      "Collecting tf-keras\n",
+      "  Downloading tf_keras-2.21.0-py3-none-any.whl.metadata (1.8 kB)\n",
+      "Collecting tensorflow<2.22,>=2.21 (from tf-keras)\n",
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+      "  Downloading protobuf-7.34.1-cp310-abi3-win_amd64.whl.metadata (595 bytes)\n",
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+      "Downloading tf_keras-2.21.0-py3-none-any.whl (1.7 MB)\n",
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+      "Downloading protobuf-7.34.1-cp310-abi3-win_amd64.whl (437 kB)\n",
+      "Installing collected packages: protobuf, tensorflow, tf-keras\n",
       "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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+      "  Attempting uninstall: protobuf\n",
       "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
-      "Collecting tf-keras\n",
-      "  Downloading tf_keras-2.17.0-py3-none-any.whl.metadata (1.6 kB)\n",
-      "INFO: pip is looking at multiple versions of tf-keras to determine which version is compatible with other requirements. This could take a while.\n",
-      "  Downloading tf_keras-2.16.0-py3-none-any.whl.metadata (1.6 kB)\n",
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-      "Downloading tf_keras-2.16.0-py3-none-any.whl (1.7 MB)\n",
-      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m12.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m0:01\u001b[0m\n",
-      "\u001b[?25hInstalling collected packages: tf-keras\n",
-      "Successfully installed tf-keras-2.16.0\n",
+      "    Found existing installation: protobuf 5.29.3\n",
+      "\n",
+      "    Uninstalling protobuf-5.29.3:\n",
+      "\n",
+      "      Successfully uninstalled protobuf-5.29.3\n",
       "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
-      "Requirement already satisfied: torch in /Users/joaorochaemelo/code/IH/venv_ironhack/lib/python3.11/site-packages (2.2.2)\n",
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+      "  Attempting uninstall: tensorflow\n",
+      "   ---------------------------------------- 0/3 [protobuf]\n",
+      "    Found existing installation: tensorflow 2.20.0\n",
+      "   ---------------------------------------- 0/3 [protobuf]\n",
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+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "    Uninstalling tensorflow-2.20.0:\n",
+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
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+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "      Successfully uninstalled tensorflow-2.20.0\n",
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+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
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+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "   ------------- -------------------------- 1/3 [tensorflow]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   -------------------------- ------------- 2/3 [tf-keras]\n",
+      "   ---------------------------------------- 3/3 [tf-keras]\n",
       "\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.2\u001b[0m\n",
-      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
+      "Successfully installed protobuf-7.34.1 tensorflow-2.21.0 tf-keras-2.21.0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "streamlit 1.45.1 requires protobuf<7,>=3.20, but you have protobuf 7.34.1 which is incompatible.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: torch in c:\\users\\con2m\\anaconda3\\lib\\site-packages (2.11.0)\n",
+      "Requirement already satisfied: filelock in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (3.17.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.10.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (4.12.2)\n",
+      "Requirement already satisfied: setuptools<82 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (72.1.0)\n",
+      "Requirement already satisfied: sympy>=1.13.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (1.13.3)\n",
+      "Requirement already satisfied: networkx>=2.5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (3.4.2)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (3.1.6)\n",
+      "Requirement already satisfied: fsspec>=0.8.5 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch) (2025.3.2)\n",
+      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sympy>=1.13.3->torch) (1.3.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from jinja2->torch) (3.0.2)\n"
      ]
     }
    ],
@@ -338,12 +614,125 @@
    },
    "outputs": [
     {
-     "name": "stdout",
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "eadf63a77bde4df5a208cdc6ea5095b0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json:   0%|          | 0.00/705 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "WARNING:tensorflow:From C:\\Users\\drago\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tf_keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
-      "\n"
+      "c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:129: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\con2m\\.cache\\huggingface\\hub\\models--cardiffnlp--twitter-roberta-base-irony. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n",
+      "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9c5510680a0b424986f274c25f6a6bd4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pytorch_model.bin:   0%|          | 0.00/499M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "95746220072948439ada0ad1ec291279",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Loading weights:   0%|          | 0/201 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1mRobertaForSequenceClassification LOAD REPORT\u001b[0m from: cardiffnlp/twitter-roberta-base-irony\n",
+      "Key                             | Status     |  | \n",
+      "--------------------------------+------------+--+-\n",
+      "roberta.embeddings.position_ids | UNEXPECTED |  | \n",
+      "\n",
+      "\u001b[3mNotes:\n",
+      "- UNEXPECTED\u001b[3m\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\u001b[0m\n"
      ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0fcab70ee5a640f29eaea756ea34084e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "vocab.json: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7d3490f06ce34355a572d739e49f8bdd",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "merges.txt: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ab68a8b91f1442109a053ae6b3393a0f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/499M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1ecc7aacc63c4f10a5c3c8620ca6ff4e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "special_tokens_map.json:   0%|          | 0.00/150 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -374,7 +763,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[{'label': 'irony', 'score': 0.9424387812614441}, {'label': 'non_irony', 'score': 0.057561274617910385}]\n"
+      "[{'label': 'irony', 'score': 0.9424387812614441}, {'label': 'non_irony', 'score': 0.0575612336397171}]\n"
      ]
     }
    ],
@@ -539,7 +928,45 @@
     "id": "hKtdnG1FkRQt",
     "outputId": "6bde9a22-0683-447c-f614-10ef5e298c91"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "653deefed7784d5bb72e965aefb78f52",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json:   0%|          | 0.00/908 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:129: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\con2m\\.cache\\huggingface\\hub\\models--facebook--m2m100_418M. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n"
+     ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "\"Unknown task translation, available tasks are ['any-to-any', 'audio-classification', 'automatic-speech-recognition', 'depth-estimation', 'document-question-answering', 'feature-extraction', 'fill-mask', 'image-classification', 'image-feature-extraction', 'image-segmentation', 'image-text-to-text', 'keypoint-matching', 'mask-generation', 'ner', 'object-detection', 'sentiment-analysis', 'table-question-answering', 'text-classification', 'text-generation', 'text-to-audio', 'text-to-speech', 'token-classification', 'video-classification', 'zero-shot-audio-classification', 'zero-shot-classification', 'zero-shot-image-classification', 'zero-shot-object-detection']\"",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[6], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# translation pipeline docs: https://huggingface.co/transformers/main_classes/pipelines.html#transformers.TranslationPipeline\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m pipeline_translate \u001b[38;5;241m=\u001b[39m pipeline(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtranslation\u001b[39m\u001b[38;5;124m\"\u001b[39m, model\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacebook/m2m100_418M\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\transformers\\pipelines\\__init__.py:742\u001b[0m, in \u001b[0;36mpipeline\u001b[1;34m(task, model, config, tokenizer, feature_extractor, image_processor, processor, revision, use_fast, token, device, device_map, dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)\u001b[0m\n\u001b[0;32m    735\u001b[0m         pipeline_class \u001b[38;5;241m=\u001b[39m get_class_from_dynamic_module(\n\u001b[0;32m    736\u001b[0m             class_ref,\n\u001b[0;32m    737\u001b[0m             model,\n\u001b[0;32m    738\u001b[0m             code_revision\u001b[38;5;241m=\u001b[39mcode_revision,\n\u001b[0;32m    739\u001b[0m             \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mhub_kwargs,\n\u001b[0;32m    740\u001b[0m         )\n\u001b[0;32m    741\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 742\u001b[0m     normalized_task, targeted_task, task_options \u001b[38;5;241m=\u001b[39m check_task(task)\n\u001b[0;32m    743\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m pipeline_class \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    744\u001b[0m         pipeline_class \u001b[38;5;241m=\u001b[39m targeted_task[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimpl\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\transformers\\pipelines\\__init__.py:355\u001b[0m, in \u001b[0;36mcheck_task\u001b[1;34m(task)\u001b[0m\n\u001b[0;32m    319\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mcheck_task\u001b[39m(task: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mdict\u001b[39m, Any]:\n\u001b[0;32m    320\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    321\u001b[0m \u001b[38;5;124;03m    Checks an incoming task string, to validate it's correct and return the default Pipeline and Model classes, and\u001b[39;00m\n\u001b[0;32m    322\u001b[0m \u001b[38;5;124;03m    default models if they exist.\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    353\u001b[0m \n\u001b[0;32m    354\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 355\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m PIPELINE_REGISTRY\u001b[38;5;241m.\u001b[39mcheck_task(task)\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\transformers\\pipelines\\base.py:1341\u001b[0m, in \u001b[0;36mPipelineRegistry.check_task\u001b[1;34m(self, task)\u001b[0m\n\u001b[0;32m   1338\u001b[0m     targeted_task \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msupported_tasks[task]\n\u001b[0;32m   1339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m task, targeted_task, \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m-> 1341\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnknown task \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtask\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, available tasks are \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_supported_tasks()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mKeyError\u001b[0m: \"Unknown task translation, available tasks are ['any-to-any', 'audio-classification', 'automatic-speech-recognition', 'depth-estimation', 'document-question-answering', 'feature-extraction', 'fill-mask', 'image-classification', 'image-feature-extraction', 'image-segmentation', 'image-text-to-text', 'keypoint-matching', 'mask-generation', 'ner', 'object-detection', 'sentiment-analysis', 'table-question-answering', 'text-classification', 'text-generation', 'text-to-audio', 'text-to-speech', 'token-classification', 'video-classification', 'zero-shot-audio-classification', 'zero-shot-classification', 'zero-shot-image-classification', 'zero-shot-object-detection']\""
+     ]
+    }
+   ],
    "source": [
     "# translation pipeline docs: https://huggingface.co/transformers/main_classes/pipelines.html#transformers.TranslationPipeline\n",
     "pipeline_translate = pipeline(\"translation\", model=\"facebook/m2m100_418M\")"
@@ -558,7 +985,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -592,7 +1019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -637,7 +1064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -782,7 +1209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -792,14 +1219,19 @@
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Original text:\n",
-      "Donald John Trump (born June 14, 1946) is an American politician, media personality, and businessman who served as the 45th president of the United States from 2017 to 2021. Trump received a Bachelor of Science in economics from the University of Pennsylvania in 1968. His father named him president of his real estate business in 1971. Trump renamed it the Trump Organization and reoriented the company toward building and renovating skyscrapers, hotels, casinos, and golf courses. After a series of business failures in the late 1990s, he launched successful side ventures, mostly licensing the Trump name. From 2004 to 2015, he co-produced and hosted the reality television series The Apprentice. He and his businesses have been plaintiffs or defendants in more than 4,000 legal actions, including six business bankruptcies. Trump won the 2016 presidential election as the Republican Party nominee against Democratic Party candidate Hillary Clinton while losing the popular vote. A special counsel investigation established that Russia had interfered in the election to favor Trump. During the campaign, his political positions were described as populist, protectionist, isolationist, and nationalist. His election and policies sparked numerous protests. He was the only U.S. president without prior military or government experience. Trump promoted conspiracy theories and made many false and misleading statements during his campaigns and presidency, to a degree unprecedented in American politics. Many of his comments and actions have been characterized as racially charged, racist, and misogynistic. As president, Trump ordered a travel ban on citizens from several Muslim-majority countries, diverted military funding toward building a wall on the U.S.–Mexico border, and implemented a family separation policy. He rolled back more than 100 environmental policies and regulations. He signed the Tax Cuts and Jobs Act of 2017, which cut taxes and eliminated the individual health insurance mandate penalty of the Affordable Care Act. He appointed Neil Gorsuch, Brett Kavanaugh, and Amy Coney Barrett to the U.S. Supreme Court. He reacted slowly to the COVID-19 pandemic, ignored or contradicted many recommendations from health officials, used political pressure to interfere with testing efforts, and spread misinformation about unproven treatments. Trump initiated a trade war with China and withdrew the U.S. from the proposed Trans-Pacific Partnership trade agreement, the Paris Agreement on climate change, and the Iran nuclear deal. He met with North Korean leader Kim Jong Un three times but made no progress on denuclearization. Trump is the only U.S. president to have been impeached twice, in 2019 for abuse of power and obstruction of Congress after he pressured Ukraine to investigate Joe Biden, and in 2021 for incitement of insurrection. The Senate acquitted him in both cases. Trump lost the 2020 presidential election to Biden but refused to concede, falsely claiming widespread electoral fraud and attempting to overturn the results. On January 6, 2021, he urged his supporters to march to the U.S. Capitol, which many of them attacked. Scholars and historians rank Trump as one of the worst presidents in American history. Since leaving office, Trump has continued to dominate the Republican Party and is their candidate again in the 2024 presidential election. In May 2024, a jury in New York found Trump guilty on 34 felony counts of falsifying business records related to a hush money payment to Stormy Daniels in an attempt to influence the 2016 election, making him the first former U.S. president to be convicted of a crime. He has been indicted in three other jurisdictions on 54 other felony counts related to his mishandling of classified documents and efforts to overturn the 2020 presidential election. In civil proceedings, Trump was found liable for sexual abuse and defamation in 2023, defamation in 2024, and financial fraud in 2024.\n",
-      "\n",
-      "Summarized text:\n",
-      " Donald John Trump is the 45th president of the United States . He won the 2016 presidential election as the Republican Party nominee against Hillary Clinton\n"
+     "ename": "PageError",
+     "evalue": "Page id \"donalds trump\" does not match any pages. Try another id!",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mPageError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[7], line 5\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mwikipedia\u001b[39;00m\n\u001b[0;32m      3\u001b[0m wikipedia\u001b[38;5;241m.\u001b[39mset_lang(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124men\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m----> 5\u001b[0m text_long \u001b[38;5;241m=\u001b[39m wikipedia\u001b[38;5;241m.\u001b[39msummary(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDonald Trump\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOriginal text:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtext_long\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      8\u001b[0m \u001b[38;5;66;03m# translate the text from wikipedia\u001b[39;00m\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\util.py:28\u001b[0m, in \u001b[0;36mcache.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m     26\u001b[0m   ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache[key]\n\u001b[0;32m     27\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 28\u001b[0m   ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache[key] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m     30\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:231\u001b[0m, in \u001b[0;36msummary\u001b[1;34m(title, sentences, chars, auto_suggest, redirect)\u001b[0m\n\u001b[0;32m    216\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    217\u001b[0m \u001b[38;5;124;03mPlain text summary of the page.\u001b[39;00m\n\u001b[0;32m    218\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    226\u001b[0m \u001b[38;5;124;03m* redirect - allow redirection without raising RedirectError\u001b[39;00m\n\u001b[0;32m    227\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    229\u001b[0m \u001b[38;5;66;03m# use auto_suggest and redirect to get the correct article\u001b[39;00m\n\u001b[0;32m    230\u001b[0m \u001b[38;5;66;03m# also, use page's error checking to raise DisambiguationError if necessary\u001b[39;00m\n\u001b[1;32m--> 231\u001b[0m page_info \u001b[38;5;241m=\u001b[39m page(title, auto_suggest\u001b[38;5;241m=\u001b[39mauto_suggest, redirect\u001b[38;5;241m=\u001b[39mredirect)\n\u001b[0;32m    232\u001b[0m title \u001b[38;5;241m=\u001b[39m page_info\u001b[38;5;241m.\u001b[39mtitle\n\u001b[0;32m    233\u001b[0m pageid \u001b[38;5;241m=\u001b[39m page_info\u001b[38;5;241m.\u001b[39mpageid\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:276\u001b[0m, in \u001b[0;36mpage\u001b[1;34m(title, pageid, auto_suggest, redirect, preload)\u001b[0m\n\u001b[0;32m    273\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m:\n\u001b[0;32m    274\u001b[0m       \u001b[38;5;66;03m# if there is no suggestion or search results, the page doesn't exist\u001b[39;00m\n\u001b[0;32m    275\u001b[0m       \u001b[38;5;28;01mraise\u001b[39;00m PageError(title)\n\u001b[1;32m--> 276\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m WikipediaPage(title, redirect\u001b[38;5;241m=\u001b[39mredirect, preload\u001b[38;5;241m=\u001b[39mpreload)\n\u001b[0;32m    277\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m pageid \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;32m    278\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m WikipediaPage(pageid\u001b[38;5;241m=\u001b[39mpageid, preload\u001b[38;5;241m=\u001b[39mpreload)\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:299\u001b[0m, in \u001b[0;36mWikipediaPage.__init__\u001b[1;34m(self, title, pageid, redirect, preload, original_title)\u001b[0m\n\u001b[0;32m    296\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    297\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;124mEither a title or a pageid must be specified\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 299\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__load(redirect\u001b[38;5;241m=\u001b[39mredirect, preload\u001b[38;5;241m=\u001b[39mpreload)\n\u001b[0;32m    301\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preload:\n\u001b[0;32m    302\u001b[0m   \u001b[38;5;28;01mfor\u001b[39;00m prop \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msummary\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mimages\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mreferences\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlinks\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msections\u001b[39m\u001b[38;5;124m'\u001b[39m):\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:345\u001b[0m, in \u001b[0;36mWikipediaPage.__load\u001b[1;34m(self, redirect, preload)\u001b[0m\n\u001b[0;32m    343\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmissing\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m page:\n\u001b[0;32m    344\u001b[0m   \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m--> 345\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m PageError(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtitle)\n\u001b[0;32m    346\u001b[0m   \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    347\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m PageError(pageid\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpageid)\n",
+      "\u001b[1;31mPageError\u001b[0m: Page id \"donalds trump\" does not match any pages. Try another id!"
      ]
     }
    ],
@@ -831,7 +1263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -901,21 +1333,30 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "98e9441255594befa1933b66bc414f43",
+       "model_id": "cfa94b6b64b84acf9b0099a369ad88e3",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "config.json:   0%|          | 0.00/1.26k [00:00<?, ?B/s]"
+       "config.json: 0.00B [00:00, ?B/s]"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:129: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\con2m\\.cache\\huggingface\\hub\\models--dslim--bert-base-NER-uncased. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2d7d2dc96eea4c3b934e1bdea0d58b30",
+       "model_id": "136652990ccc42a289c8208e5794000d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -926,19 +1367,38 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9abb02dde6934172992b7b1acbfc3e8b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Loading weights:   0%|          | 0/199 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Some weights of the model checkpoint at dslim/bert-base-NER-uncased were not used when initializing BertForTokenClassification: ['bert.pooler.dense.bias', 'bert.pooler.dense.weight']\n",
-      "- This IS expected if you are initializing BertForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
-      "- This IS NOT expected if you are initializing BertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
+      "\u001b[1mBertForTokenClassification LOAD REPORT\u001b[0m from: dslim/bert-base-NER-uncased\n",
+      "Key                      | Status     |  | \n",
+      "-------------------------+------------+--+-\n",
+      "bert.pooler.dense.bias   | UNEXPECTED |  | \n",
+      "bert.pooler.dense.weight | UNEXPECTED |  | \n",
+      "\n",
+      "\u001b[3mNotes:\n",
+      "- UNEXPECTED\u001b[3m\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\u001b[0m\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d370ba0a997845f890f76fc088cc3ef2",
+       "model_id": "866ec507c4784e9587a274642c740f03",
        "version_major": 2,
        "version_minor": 0
       },
@@ -952,12 +1412,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a92e522026c14fcfaa2da9f10c1152ae",
+       "model_id": "08b79d0a44e64451914eddae4aed1d82",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
+       "vocab.txt: 0.00B [00:00, ?B/s]"
       ]
      },
      "metadata": {},
@@ -966,7 +1426,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "97ff8b801a5740839a6a6402c7600bbb",
+       "model_id": "d272ccba465e4bd2ad90a46a2b6b7680",
        "version_major": 2,
        "version_minor": 0
       },
@@ -984,7 +1444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -995,414 +1455,20 @@
    },
    "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>entity_group</th>\n",
-       "      <th>score</th>\n",
-       "      <th>word</th>\n",
-       "      <th>start</th>\n",
-       "      <th>end</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.989843</td>\n",
-       "      <td>donald john trump</td>\n",
-       "      <td>0</td>\n",
-       "      <td>17</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.991848</td>\n",
-       "      <td>american</td>\n",
-       "      <td>45</td>\n",
-       "      <td>53</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.992675</td>\n",
-       "      <td>united states</td>\n",
-       "      <td>141</td>\n",
-       "      <td>154</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.989312</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>174</td>\n",
-       "      <td>179</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>ORG</td>\n",
-       "      <td>0.697325</td>\n",
-       "      <td>university of pennsylvania</td>\n",
-       "      <td>233</td>\n",
-       "      <td>259</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.969404</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>337</td>\n",
-       "      <td>342</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>ORG</td>\n",
-       "      <td>0.712140</td>\n",
-       "      <td>trump organization</td>\n",
-       "      <td>358</td>\n",
-       "      <td>376</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.913634</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>597</td>\n",
-       "      <td>602</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.953361</td>\n",
-       "      <td>the apprentice</td>\n",
-       "      <td>684</td>\n",
-       "      <td>698</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.992383</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>828</td>\n",
-       "      <td>833</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.873182</td>\n",
-       "      <td>republican</td>\n",
-       "      <td>876</td>\n",
-       "      <td>886</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.978373</td>\n",
-       "      <td>democratic</td>\n",
-       "      <td>909</td>\n",
-       "      <td>919</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.994271</td>\n",
-       "      <td>hillary clinton</td>\n",
-       "      <td>936</td>\n",
-       "      <td>951</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.997165</td>\n",
-       "      <td>russia</td>\n",
-       "      <td>1032</td>\n",
-       "      <td>1038</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.982982</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>1079</td>\n",
-       "      <td>1084</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.849478</td>\n",
-       "      <td>u. s.</td>\n",
-       "      <td>1274</td>\n",
-       "      <td>1278</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.986752</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>1338</td>\n",
-       "      <td>1343</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.994762</td>\n",
-       "      <td>american</td>\n",
-       "      <td>1485</td>\n",
-       "      <td>1493</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.980122</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>1622</td>\n",
-       "      <td>1627</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.987600</td>\n",
-       "      <td>muslim</td>\n",
-       "      <td>1674</td>\n",
-       "      <td>1680</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.977429</td>\n",
-       "      <td>u. s.</td>\n",
-       "      <td>1757</td>\n",
-       "      <td>1761</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.997740</td>\n",
-       "      <td>mexico</td>\n",
-       "      <td>1762</td>\n",
-       "      <td>1768</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.891977</td>\n",
-       "      <td>tax cuts and jobs act of</td>\n",
-       "      <td>1904</td>\n",
-       "      <td>1928</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.960363</td>\n",
-       "      <td>affordable care act</td>\n",
-       "      <td>2021</td>\n",
-       "      <td>2040</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.996589</td>\n",
-       "      <td>neil gorsuch</td>\n",
-       "      <td>2055</td>\n",
-       "      <td>2067</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.997994</td>\n",
-       "      <td>brett kavanaugh</td>\n",
-       "      <td>2069</td>\n",
-       "      <td>2084</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.997711</td>\n",
-       "      <td>amy coney barrett</td>\n",
-       "      <td>2090</td>\n",
-       "      <td>2107</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.901173</td>\n",
-       "      <td>u. s.</td>\n",
-       "      <td>2115</td>\n",
-       "      <td>2119</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>ORG</td>\n",
-       "      <td>0.821682</td>\n",
-       "      <td>supreme court</td>\n",
-       "      <td>2120</td>\n",
-       "      <td>2133</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.937786</td>\n",
-       "      <td>covid - 19</td>\n",
-       "      <td>2160</td>\n",
-       "      <td>2168</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.980800</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>2359</td>\n",
-       "      <td>2364</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>31</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.996960</td>\n",
-       "      <td>china</td>\n",
-       "      <td>2392</td>\n",
-       "      <td>2397</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.991840</td>\n",
-       "      <td>u. s</td>\n",
-       "      <td>2415</td>\n",
-       "      <td>2418</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.908778</td>\n",
-       "      <td>trans - pacific partnership</td>\n",
-       "      <td>2438</td>\n",
-       "      <td>2463</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.889306</td>\n",
-       "      <td>paris agreement</td>\n",
-       "      <td>2485</td>\n",
-       "      <td>2500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.697912</td>\n",
-       "      <td>climate change</td>\n",
-       "      <td>2504</td>\n",
-       "      <td>2518</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.906911</td>\n",
-       "      <td>iran</td>\n",
-       "      <td>2528</td>\n",
-       "      <td>2532</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>MISC</td>\n",
-       "      <td>0.987541</td>\n",
-       "      <td>north korean</td>\n",
-       "      <td>2559</td>\n",
-       "      <td>2571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.993055</td>\n",
-       "      <td>kim jong un</td>\n",
-       "      <td>2579</td>\n",
-       "      <td>2590</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>PER</td>\n",
-       "      <td>0.989296</td>\n",
-       "      <td>trump</td>\n",
-       "      <td>2645</td>\n",
-       "      <td>2650</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>LOC</td>\n",
-       "      <td>0.874581</td>\n",
-       "      <td>u. s.</td>\n",
-       "      <td>2663</td>\n",
-       "      <td>2667</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   entity_group     score                         word  start   end\n",
-       "0           PER  0.989843            donald john trump      0    17\n",
-       "1          MISC  0.991848                     american     45    53\n",
-       "2           LOC  0.992675                united states    141   154\n",
-       "3           PER  0.989312                        trump    174   179\n",
-       "4           ORG  0.697325   university of pennsylvania    233   259\n",
-       "5           PER  0.969404                        trump    337   342\n",
-       "6           ORG  0.712140           trump organization    358   376\n",
-       "7           PER  0.913634                        trump    597   602\n",
-       "8          MISC  0.953361               the apprentice    684   698\n",
-       "9           PER  0.992383                        trump    828   833\n",
-       "10         MISC  0.873182                   republican    876   886\n",
-       "11         MISC  0.978373                   democratic    909   919\n",
-       "12          PER  0.994271              hillary clinton    936   951\n",
-       "13          LOC  0.997165                       russia   1032  1038\n",
-       "14          PER  0.982982                        trump   1079  1084\n",
-       "15          LOC  0.849478                        u. s.   1274  1278\n",
-       "16          PER  0.986752                        trump   1338  1343\n",
-       "17         MISC  0.994762                     american   1485  1493\n",
-       "18          PER  0.980122                        trump   1622  1627\n",
-       "19         MISC  0.987600                       muslim   1674  1680\n",
-       "20          LOC  0.977429                        u. s.   1757  1761\n",
-       "21          LOC  0.997740                       mexico   1762  1768\n",
-       "22         MISC  0.891977     tax cuts and jobs act of   1904  1928\n",
-       "23         MISC  0.960363          affordable care act   2021  2040\n",
-       "24          PER  0.996589                 neil gorsuch   2055  2067\n",
-       "25          PER  0.997994              brett kavanaugh   2069  2084\n",
-       "26          PER  0.997711            amy coney barrett   2090  2107\n",
-       "27          LOC  0.901173                        u. s.   2115  2119\n",
-       "28          ORG  0.821682                supreme court   2120  2133\n",
-       "29         MISC  0.937786                   covid - 19   2160  2168\n",
-       "30          PER  0.980800                        trump   2359  2364\n",
-       "31          LOC  0.996960                        china   2392  2397\n",
-       "32          LOC  0.991840                         u. s   2415  2418\n",
-       "33         MISC  0.908778  trans - pacific partnership   2438  2463\n",
-       "34         MISC  0.889306              paris agreement   2485  2500\n",
-       "35         MISC  0.697912               climate change   2504  2518\n",
-       "36          LOC  0.906911                         iran   2528  2532\n",
-       "37         MISC  0.987541                 north korean   2559  2571\n",
-       "38          PER  0.993055                  kim jong un   2579  2590\n",
-       "39          PER  0.989296                        trump   2645  2650\n",
-       "40          LOC  0.874581                        u. s.   2663  2667"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "PageError",
+     "evalue": "Page id \"donalds trump\" does not match any pages. Try another id!",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mPageError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[9], line 4\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mwikipedia\u001b[39;00m\n\u001b[0;32m      2\u001b[0m wikipedia\u001b[38;5;241m.\u001b[39mset_lang(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124men\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m----> 4\u001b[0m text_long \u001b[38;5;241m=\u001b[39m wikipedia\u001b[38;5;241m.\u001b[39msummary(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDonald Trump\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      6\u001b[0m output \u001b[38;5;241m=\u001b[39m pipeline_ner(text_long)\n\u001b[0;32m      8\u001b[0m pd\u001b[38;5;241m.\u001b[39mDataFrame(output)\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\util.py:28\u001b[0m, in \u001b[0;36mcache.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m     26\u001b[0m   ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache[key]\n\u001b[0;32m     27\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 28\u001b[0m   ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache[key] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m     30\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:231\u001b[0m, in \u001b[0;36msummary\u001b[1;34m(title, sentences, chars, auto_suggest, redirect)\u001b[0m\n\u001b[0;32m    216\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    217\u001b[0m \u001b[38;5;124;03mPlain text summary of the page.\u001b[39;00m\n\u001b[0;32m    218\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    226\u001b[0m \u001b[38;5;124;03m* redirect - allow redirection without raising RedirectError\u001b[39;00m\n\u001b[0;32m    227\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m    229\u001b[0m \u001b[38;5;66;03m# use auto_suggest and redirect to get the correct article\u001b[39;00m\n\u001b[0;32m    230\u001b[0m \u001b[38;5;66;03m# also, use page's error checking to raise DisambiguationError if necessary\u001b[39;00m\n\u001b[1;32m--> 231\u001b[0m page_info \u001b[38;5;241m=\u001b[39m page(title, auto_suggest\u001b[38;5;241m=\u001b[39mauto_suggest, redirect\u001b[38;5;241m=\u001b[39mredirect)\n\u001b[0;32m    232\u001b[0m title \u001b[38;5;241m=\u001b[39m page_info\u001b[38;5;241m.\u001b[39mtitle\n\u001b[0;32m    233\u001b[0m pageid \u001b[38;5;241m=\u001b[39m page_info\u001b[38;5;241m.\u001b[39mpageid\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:276\u001b[0m, in \u001b[0;36mpage\u001b[1;34m(title, pageid, auto_suggest, redirect, preload)\u001b[0m\n\u001b[0;32m    273\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m:\n\u001b[0;32m    274\u001b[0m       \u001b[38;5;66;03m# if there is no suggestion or search results, the page doesn't exist\u001b[39;00m\n\u001b[0;32m    275\u001b[0m       \u001b[38;5;28;01mraise\u001b[39;00m PageError(title)\n\u001b[1;32m--> 276\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m WikipediaPage(title, redirect\u001b[38;5;241m=\u001b[39mredirect, preload\u001b[38;5;241m=\u001b[39mpreload)\n\u001b[0;32m    277\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m pageid \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;32m    278\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m WikipediaPage(pageid\u001b[38;5;241m=\u001b[39mpageid, preload\u001b[38;5;241m=\u001b[39mpreload)\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:299\u001b[0m, in \u001b[0;36mWikipediaPage.__init__\u001b[1;34m(self, title, pageid, redirect, preload, original_title)\u001b[0m\n\u001b[0;32m    296\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    297\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;124mEither a title or a pageid must be specified\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 299\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__load(redirect\u001b[38;5;241m=\u001b[39mredirect, preload\u001b[38;5;241m=\u001b[39mpreload)\n\u001b[0;32m    301\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preload:\n\u001b[0;32m    302\u001b[0m   \u001b[38;5;28;01mfor\u001b[39;00m prop \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msummary\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mimages\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mreferences\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlinks\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msections\u001b[39m\u001b[38;5;124m'\u001b[39m):\n",
+      "File \u001b[1;32mc:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\wikipedia\\wikipedia.py:345\u001b[0m, in \u001b[0;36mWikipediaPage.__load\u001b[1;34m(self, redirect, preload)\u001b[0m\n\u001b[0;32m    343\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmissing\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m page:\n\u001b[0;32m    344\u001b[0m   \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m--> 345\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m PageError(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtitle)\n\u001b[0;32m    346\u001b[0m   \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    347\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m PageError(pageid\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpageid)\n",
+      "\u001b[1;31mPageError\u001b[0m: Page id \"donalds trump\" does not match any pages. Try another id!"
+     ]
     }
    ],
    "source": [
@@ -1460,7 +1526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -1541,21 +1607,30 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a2f5788e5bcd426e96d8d80cfda33741",
+       "model_id": "5886de50b00a4ae3b27f6f128ddf68e8",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "config.json:   0%|          | 0.00/1.07k [00:00<?, ?B/s]"
+       "config.json: 0.00B [00:00, ?B/s]"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:129: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\con2m\\.cache\\huggingface\\hub\\models--MoritzLaurer--mDeBERTa-v3-base-mnli-xnli. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "061a57e60ad9443f960e93e98cfbd664",
+       "model_id": "dac343b3f3e34dafb7501cb368f2d719",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1569,12 +1644,39 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f9959564c4924878901b3ce1bab9cbfb",
+       "model_id": "ab1701d0d0ba423e95359b9bba18e3e9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Loading weights:   0%|          | 0/202 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1mDebertaV2ForSequenceClassification LOAD REPORT\u001b[0m from: MoritzLaurer/mDeBERTa-v3-base-mnli-xnli\n",
+      "Key                             | Status     |  | \n",
+      "--------------------------------+------------+--+-\n",
+      "deberta.embeddings.position_ids | UNEXPECTED |  | \n",
+      "\n",
+      "\u001b[3mNotes:\n",
+      "- UNEXPECTED\u001b[3m\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4120441987ce458ea4ea4800027a126a",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "tokenizer_config.json:   0%|          | 0.00/1.26k [00:00<?, ?B/s]"
+       "tokenizer_config.json: 0.00B [00:00, ?B/s]"
       ]
      },
      "metadata": {},
@@ -1583,7 +1685,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "885c6e50a29c4baf9eb6c6258f4cb114",
+       "model_id": "3684890c61b5449b8c0314adc4c85620",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1597,7 +1699,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "60ab8eb3e2134c00baa3fb183350a900",
+       "model_id": "b2ded1a1ff484726af0052331d1b8bff",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1611,7 +1713,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3ad2fa1892cf4dd4a1e8845cb655bd93",
+       "model_id": "c084cf1c4e6e4c2a8e4adf923554fe66",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1625,7 +1727,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2d326c139c704e89a5ec3862eccffda8",
+       "model_id": "f384e03b41fd4d9993332e048d377a81",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1650,7 +1752,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -1689,17 +1791,17 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>payment issues</td>\n",
-       "      <td>0.991133</td>\n",
+       "      <td>0.991305</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>bug report</td>\n",
-       "      <td>0.076115</td>\n",
+       "      <td>0.076943</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>travel advice</td>\n",
-       "      <td>0.018696</td>\n",
+       "      <td>0.018752</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1707,12 +1809,12 @@
       ],
       "text/plain": [
        "            class probability\n",
-       "0  payment issues    0.991133\n",
-       "1      bug report    0.076115\n",
-       "2   travel advice    0.018696"
+       "0  payment issues    0.991305\n",
+       "1      bug report    0.076943\n",
+       "2   travel advice    0.018752"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1754,11 +1856,607 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting transformers==4.41.2\n",
+      "  Downloading transformers-4.41.2-py3-none-any.whl.metadata (43 kB)\n",
+      "Requirement already satisfied: filelock in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (3.17.0)\n",
+      "Collecting huggingface-hub<1.0,>=0.23.0 (from transformers==4.41.2)\n",
+      "  Downloading huggingface_hub-0.36.2-py3-none-any.whl.metadata (15 kB)\n",
+      "Requirement already satisfied: numpy>=1.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (2.1.3)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (24.2)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (6.0.2)\n",
+      "Requirement already satisfied: regex!=2019.12.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (2026.4.4)\n",
+      "Requirement already satisfied: requests in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (2.32.3)\n",
+      "Collecting tokenizers<0.20,>=0.19 (from transformers==4.41.2)\n",
+      "  Downloading tokenizers-0.19.1.tar.gz (321 kB)\n",
+      "  Installing build dependencies: started\n",
+      "  Installing build dependencies: finished with status 'done'\n",
+      "  Getting requirements to build wheel: started\n",
+      "  Getting requirements to build wheel: finished with status 'done'\n",
+      "  Installing backend dependencies: started\n",
+      "  Installing backend dependencies: finished with status 'done'\n",
+      "  Preparing metadata (pyproject.toml): started\n",
+      "  Preparing metadata (pyproject.toml): finished with status 'done'\n",
+      "Requirement already satisfied: safetensors>=0.4.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (0.7.0)\n",
+      "Requirement already satisfied: tqdm>=4.27 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers==4.41.2) (4.67.1)\n",
+      "Requirement already satisfied: fsspec>=2023.5.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.41.2) (2025.3.2)\n",
+      "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.41.2) (4.12.2)\n",
+      "Requirement already satisfied: colorama in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from tqdm>=4.27->transformers==4.41.2) (0.4.6)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers==4.41.2) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers==4.41.2) (3.7)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers==4.41.2) (2.3.0)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers==4.41.2) (2026.1.4)\n",
+      "Downloading transformers-4.41.2-py3-none-any.whl (9.1 MB)\n",
+      "   ---------------------------------------- 0.0/9.1 MB ? eta -:--:--\n",
+      "   ---------------------------------------- 9.1/9.1 MB 56.4 MB/s eta 0:00:00\n",
+      "Downloading huggingface_hub-0.36.2-py3-none-any.whl (566 kB)\n",
+      "   ---------------------------------------- 0.0/566.4 kB ? eta -:--:--\n",
+      "   --------------------------------------- 566.4/566.4 kB 32.0 MB/s eta 0:00:00\n",
+      "Building wheels for collected packages: tokenizers\n",
+      "  Building wheel for tokenizers (pyproject.toml): started\n",
+      "  Building wheel for tokenizers (pyproject.toml): finished with status 'error'\n",
+      "Failed to build tokenizers\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  error: subprocess-exited-with-error\n",
+      "  \n",
+      "  × Building wheel for tokenizers (pyproject.toml) did not run successfully.\n",
+      "  │ exit code: 1\n",
+      "  ╰─> [63 lines of output]\n",
+      "      Rust not found, installing into a temporary directory\n",
+      "      Python reports SOABI: cp313-win_amd64\n",
+      "      Computed rustc target triple: x86_64-pc-windows-msvc\n",
+      "      Installation directory: C:\\Users\\con2m\\AppData\\Local\\puccinialin\\puccinialin\\Cache\n",
+      "      Rustup already downloaded\n",
+      "      Installing rust to C:\\Users\\con2m\\AppData\\Local\\puccinialin\\puccinialin\\Cache\\rustup\n",
+      "      warn: It looks like you have an existing rustup settings file at:\n",
+      "      warn: C:\\Users\\con2m\\.rustup\\settings.toml\n",
+      "      warn: Rustup will install the default toolchain as specified in the settings file,\n",
+      "      warn: instead of the one inferred from the default host triple.\n",
+      "      warn: installing msvc toolchain without its prerequisites\n",
+      "      info: profile set to minimal\n",
+      "      info: default host triple is x86_64-pc-windows-msvc\n",
+      "      warn: Updating existing toolchain, profile choice will be ignored\n",
+      "      info: syncing channel updates for stable-x86_64-pc-windows-msvc\n",
+      "      info: default toolchain set to stable-x86_64-pc-windows-msvc\n",
+      "      Checking if cargo is installed\n",
+      "      cargo 1.94.1 (29ea6fb6a 2026-03-24)\n",
+      "      Running `maturin pep517 build-wheel -i C:\\Users\\con2m\\anaconda3\\python.exe --compatibility off`\n",
+      "      ⚠️  Warning: `project.version` field is required in pyproject.toml unless it is present in the `project.dynamic` list\n",
+      "      🍹 Building a mixed python/rust project\n",
+      "      🔗 Found pyo3 bindings\n",
+      "      🐍 Found CPython 3.13 at C:\\Users\\con2m\\anaconda3\\python.exe\n",
+      "      📡 Using build options features, bindings from pyproject.toml\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m proc-macro2 v1.0.81\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m unicode-ident v1.0.12\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m autocfg v1.2.0\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m target-lexicon v0.12.14\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m windows_x86_64_msvc v0.52.5\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m once_cell v1.19.0\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m cfg-if v1.0.0\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m libc v0.2.153\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m cc v1.0.94\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m memchr v2.7.2\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m crossbeam-utils v0.8.19\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m windows_x86_64_msvc v0.48.5\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m fnv v1.0.7\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m ident_case v1.0.1\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m strsim v0.10.0\n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m smallvec v1.13.2\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m\u001b[1m\u001b[97m: linker `link.exe` not found\u001b[0m\n",
+      "        \u001b[1m\u001b[96m|\u001b[0m\n",
+      "        \u001b[1m\u001b[96m= \u001b[0m\u001b[1m\u001b[97mnote\u001b[0m: program not found\n",
+      "      \n",
+      "      \u001b[1m\u001b[92mnote\u001b[0m\u001b[1m\u001b[97m: the msvc targets depend on the msvc linker but `link.exe` was not found\u001b[0m\n",
+      "      \n",
+      "      \u001b[1m\u001b[92mnote\u001b[0m\u001b[1m\u001b[97m: please ensure that Visual Studio 2017 or later, or Build Tools for Visual Studio were installed with the Visual C++ option.\u001b[0m\n",
+      "      \n",
+      "      \u001b[1m\u001b[92mnote\u001b[0m\u001b[1m\u001b[97m: VS Code is a different product, and is not sufficient.\u001b[0m\n",
+      "      \n",
+      "      \u001b[1m\u001b[92m   Compiling\u001b[0m portable-atomic v1.6.0\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `windows_x86_64_msvc` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[93mwarning\u001b[0m: build failed, waiting for other jobs to finish...\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `proc-macro2` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `windows_x86_64_msvc` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `crossbeam-utils` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `libc` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `target-lexicon` (build script) due to 1 previous error\n",
+      "      \u001b[1m\u001b[91merror\u001b[0m: could not compile `portable-atomic` (build script) due to 1 previous error\n",
+      "      💥 maturin failed\n",
+      "        Caused by: Failed to build a native library through cargo\n",
+      "        Caused by: Cargo build finished with \"exit code: 101\": `\"cargo\" \"rustc\" \"--profile\" \"release\" \"--features\" \"pyo3/extension-module\" \"--message-format\" \"json-render-diagnostics\" \"--manifest-path\" \"C:\\\\Users\\\\con2m\\\\AppData\\\\Local\\\\Temp\\\\pip-install-fa29nsf2\\\\tokenizers_de07199e0c1d4ad18c6dfa48ff0d3c16\\\\bindings\\\\python\\\\Cargo.toml\" \"--lib\"`\n",
+      "      Error: command ['maturin', 'pep517', 'build-wheel', '-i', 'C:\\\\Users\\\\con2m\\\\anaconda3\\\\python.exe', '--compatibility', 'off'] returned non-zero exit status 1\n",
+      "      [end of output]\n",
+      "  \n",
+      "  note: This error originates from a subprocess, and is likely not a problem with pip.\n",
+      "  ERROR: Failed building wheel for tokenizers\n",
+      "ERROR: Failed to build installable wheels for some pyproject.toml based projects (tokenizers)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: sentence-transformers in c:\\users\\con2m\\anaconda3\\lib\\site-packages (5.3.0)\n",
+      "Collecting sentence-transformers\n",
+      "  Downloading sentence_transformers-5.4.0-py3-none-any.whl.metadata (17 kB)\n",
+      "Requirement already satisfied: transformers<6.0.0,>=4.41.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (5.5.3)\n",
+      "Requirement already satisfied: huggingface-hub>=0.23.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (1.7.2)\n",
+      "Requirement already satisfied: torch>=1.11.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (2.11.0)\n",
+      "Requirement already satisfied: numpy>=1.20.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (2.1.3)\n",
+      "Requirement already satisfied: scikit-learn>=0.22.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (1.6.1)\n",
+      "Requirement already satisfied: scipy>=1.0.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (1.15.3)\n",
+      "Requirement already satisfied: typing_extensions>=4.5.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (4.12.2)\n",
+      "Requirement already satisfied: tqdm>=4.0.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers) (4.67.1)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (24.2)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (6.0.2)\n",
+      "Requirement already satisfied: regex>=2025.10.22 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (2026.4.4)\n",
+      "Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (0.22.2)\n",
+      "Requirement already satisfied: typer in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (0.9.0)\n",
+      "Requirement already satisfied: safetensors>=0.4.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<6.0.0,>=4.41.0->sentence-transformers) (0.7.0)\n",
+      "Requirement already satisfied: filelock>=3.10.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.23.0->sentence-transformers) (3.17.0)\n",
+      "Requirement already satisfied: fsspec>=2023.5.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.23.0->sentence-transformers) (2025.3.2)\n",
+      "Requirement already satisfied: hf-xet<2.0.0,>=1.4.2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.23.0->sentence-transformers) (1.4.2)\n",
+      "Requirement already satisfied: httpx<1,>=0.23.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.23.0->sentence-transformers) (0.28.1)\n",
+      "Requirement already satisfied: anyio in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (4.7.0)\n",
+      "Requirement already satisfied: certifi in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (2026.1.4)\n",
+      "Requirement already satisfied: httpcore==1.* in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (1.0.9)\n",
+      "Requirement already satisfied: idna in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (3.7)\n",
+      "Requirement already satisfied: h11>=0.16 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from httpcore==1.*->httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (0.16.0)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from scikit-learn>=0.22.0->sentence-transformers) (1.4.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from scikit-learn>=0.22.0->sentence-transformers) (3.5.0)\n",
+      "Requirement already satisfied: setuptools<82 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers) (72.1.0)\n",
+      "Requirement already satisfied: sympy>=1.13.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers) (1.13.3)\n",
+      "Requirement already satisfied: networkx>=2.5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers) (3.4.2)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers) (3.1.6)\n",
+      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sympy>=1.13.3->torch>=1.11.0->sentence-transformers) (1.3.0)\n",
+      "Requirement already satisfied: colorama in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from tqdm>=4.0.0->sentence-transformers) (0.4.6)\n",
+      "Requirement already satisfied: sniffio>=1.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from anyio->httpx<1,>=0.23.0->huggingface-hub>=0.23.0->sentence-transformers) (1.3.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from jinja2->torch>=1.11.0->sentence-transformers) (3.0.2)\n",
+      "Requirement already satisfied: click<9.0.0,>=7.1.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from typer->transformers<6.0.0,>=4.41.0->sentence-transformers) (8.1.8)\n",
+      "Downloading sentence_transformers-5.4.0-py3-none-any.whl (570 kB)\n",
+      "   ---------------------------------------- 0.0/570.8 kB ? eta -:--:--\n",
+      "   --------------------------------------- 570.8/570.8 kB 18.9 MB/s eta 0:00:00\n",
+      "Installing collected packages: sentence-transformers\n",
+      "  Attempting uninstall: sentence-transformers\n",
+      "    Found existing installation: sentence-transformers 5.3.0\n",
+      "    Uninstalling sentence-transformers-5.3.0:\n",
+      "      Successfully uninstalled sentence-transformers-5.3.0\n",
+      "Successfully installed sentence-transformers-5.4.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install transformers==4.41.2\n",
+    "!pip install sentence-transformers --upgrade\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting sentence-transformers==3.0.1\n",
+      "  Downloading sentence_transformers-3.0.1-py3-none-any.whl.metadata (10 kB)\n",
+      "Collecting transformers<5.0.0,>=4.34.0 (from sentence-transformers==3.0.1)\n",
+      "  Downloading transformers-4.57.6-py3-none-any.whl.metadata (43 kB)\n",
+      "Requirement already satisfied: tqdm in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (4.67.1)\n",
+      "Requirement already satisfied: torch>=1.11.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (2.11.0)\n",
+      "Requirement already satisfied: numpy in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (2.1.3)\n",
+      "Requirement already satisfied: scikit-learn in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (1.6.1)\n",
+      "Requirement already satisfied: scipy in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (1.15.3)\n",
+      "Requirement already satisfied: huggingface-hub>=0.15.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (1.7.2)\n",
+      "Requirement already satisfied: Pillow in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sentence-transformers==3.0.1) (11.1.0)\n",
+      "Requirement already satisfied: filelock in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (3.17.0)\n",
+      "Collecting huggingface-hub>=0.15.1 (from sentence-transformers==3.0.1)\n",
+      "  Using cached huggingface_hub-0.36.2-py3-none-any.whl.metadata (15 kB)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (24.2)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (6.0.2)\n",
+      "Requirement already satisfied: regex!=2019.12.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (2026.4.4)\n",
+      "Requirement already satisfied: requests in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (2.32.3)\n",
+      "Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (0.22.2)\n",
+      "Requirement already satisfied: safetensors>=0.4.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (0.7.0)\n",
+      "Requirement already satisfied: fsspec>=2023.5.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.15.1->sentence-transformers==3.0.1) (2025.3.2)\n",
+      "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from huggingface-hub>=0.15.1->sentence-transformers==3.0.1) (4.12.2)\n",
+      "Requirement already satisfied: setuptools<82 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers==3.0.1) (72.1.0)\n",
+      "Requirement already satisfied: sympy>=1.13.3 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers==3.0.1) (1.13.3)\n",
+      "Requirement already satisfied: networkx>=2.5.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers==3.0.1) (3.4.2)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from torch>=1.11.0->sentence-transformers==3.0.1) (3.1.6)\n",
+      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from sympy>=1.13.3->torch>=1.11.0->sentence-transformers==3.0.1) (1.3.0)\n",
+      "Requirement already satisfied: colorama in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from tqdm->sentence-transformers==3.0.1) (0.4.6)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from jinja2->torch>=1.11.0->sentence-transformers==3.0.1) (3.0.2)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (3.7)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (2.3.0)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from requests->transformers<5.0.0,>=4.34.0->sentence-transformers==3.0.1) (2026.1.4)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from scikit-learn->sentence-transformers==3.0.1) (1.4.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\con2m\\anaconda3\\lib\\site-packages (from scikit-learn->sentence-transformers==3.0.1) (3.5.0)\n",
+      "Downloading sentence_transformers-3.0.1-py3-none-any.whl (227 kB)\n",
+      "Downloading transformers-4.57.6-py3-none-any.whl (12.0 MB)\n",
+      "   ---------------------------------------- 0.0/12.0 MB ? eta -:--:--\n",
+      "   ------------------------------------ --- 11.0/12.0 MB 52.6 MB/s eta 0:00:01\n",
+      "   ---------------------------------------- 12.0/12.0 MB 48.9 MB/s eta 0:00:00\n",
+      "Using cached huggingface_hub-0.36.2-py3-none-any.whl (566 kB)\n",
+      "Installing collected packages: huggingface-hub, transformers, sentence-transformers\n",
+      "\n",
+      "  Attempting uninstall: huggingface-hub\n",
+      "\n",
+      "    Found existing installation: huggingface_hub 1.7.2\n",
+      "\n",
+      "    Uninstalling huggingface_hub-1.7.2:\n",
+      "\n",
+      "      Successfully uninstalled huggingface_hub-1.7.2\n",
+      "\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "  Attempting uninstall: transformers\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "    Found existing installation: transformers 5.5.3\n",
+      "   ---------------------------------------- 0/3 [huggingface-hub]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "    Uninstalling transformers-5.5.3:\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "      Successfully uninstalled transformers-5.5.3\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
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+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "  Attempting uninstall: sentence-transformers\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "    Found existing installation: sentence-transformers 5.4.0\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "    Uninstalling sentence-transformers-5.4.0:\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "      Successfully uninstalled sentence-transformers-5.4.0\n",
+      "   ------------- -------------------------- 1/3 [transformers]\n",
+      "   -------------------------- ------------- 2/3 [sentence-transformers]\n",
+      "   -------------------------- ------------- 2/3 [sentence-transformers]\n",
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+      "   ---------------------------------------- 3/3 [sentence-transformers]\n",
+      "\n",
+      "Successfully installed huggingface-hub-0.36.2 sentence-transformers-3.0.1 transformers-4.57.6\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install -U sentence-transformers==3.0.1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING:tensorflow:From c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\tf_keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sentence_transformers import SentenceTransformer, util\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(0.6960972547531128, 'Artemis II is a ten-day lunar flyby mission that launched on April 1, 2026. With a crew of four astronauts, it is the first crewed flight of the NASA-led Artemis program and the first crewed flight beyond low Earth orbit since Apollo 17 in 1972. Artemis II is the second flight of the Space Launch System (SLS) and the first crewed flight of the Orion spacecraft, named Integrity by the crew.')\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sentence_transformers import SentenceTransformer, util\n",
+    "from bs4 import BeautifulSoup\n",
+    "import requests\n",
+    "\n",
+    "# Load the embedding model\n",
+    "model = SentenceTransformer(\"sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\")\n",
+    "\n",
+    "# Download the Artemis II Wikipedia page\n",
+    "url = \"https://en.wikipedia.org/wiki/Artemis_2\"\n",
+    "headers = {\"User-Agent\": \"Mozilla/5.0\"}\n",
+    "html = requests.get(url, headers=headers).text\n",
+    "\n",
+    "\n",
+    "# Extract clean paragraphs\n",
+    "soup = BeautifulSoup(html, \"html.parser\")\n",
+    "paragraphs = [\n",
+    "    p.get_text().strip()\n",
+    "    for p in soup.find_all(\"p\")\n",
+    "    if len(p.get_text().strip()) > 50\n",
+    "]\n",
+    "\n",
+    "# Encode all paragraphs (indexing)\n",
+    "paragraph_embeddings = model.encode(paragraphs, convert_to_tensor=True)\n",
+    "\n",
+    "def semantic_search(query, top_k=3):\n",
+    "    q_emb = model.encode(query, convert_to_tensor=True)\n",
+    "    scores = util.cos_sim(q_emb, paragraph_embeddings)[0]\n",
+    "    top = scores.topk(top_k)\n",
+    "    return [(float(score), paragraphs[idx]) for score, idx in zip(top.values, top.indices)]\n",
+    "\n",
+    "# Example query\n",
+    "results = semantic_search(\"What is Artemis II?\", top_k=1)\n",
+    "print(results[0])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.6960972547531128 Artemis II is a ten-day lunar flyby mission that launched on April 1, 2026. With a crew of four astronauts, it is the first crewed flight of the NASA-led Artemis program and the first crewed flight beyond low Earth orbit since Apollo 17 in 1972. Artemis II is the second flight of the Space Launch System (SLS) and the first crewed flight of the Orion spacecraft, named Integrity by the crew. \n",
+      "---\n",
+      "0.6287407875061035 Artemis II is testing and demonstrating optical communications to and from Earth using the Orion Artemis II Optical Communications System (O2O), which uses laser beams. Such an optical system can be smaller and lighter than conventional radio and can use less power, while increasing the rate of transmission.[111] The O2O hardware is integrated into the Orion spacecraft and included an optical module (a 4-inch [100 mm] telescope and two gimbals), a modem and control electronics.[111] O2O will communicate with ground stations in California and New Mexico.[111] The test device is sending data to Earth with an uplink rate of up to 260 megabits per second.[112] \n",
+      "---\n",
+      "0.5816238522529602 The Artemis II mission patch has been interpreted as drawing inspiration from the Apollo 8 patch, which featured a vertically oriented infinity symbol alluding to the number 8 and representing the spacecraft's lunar orbit. Similarly, the Artemis II design incorporates a stylized trajectory resembling a half-period curve that subtly evokes the number \"2\" and corresponds to the first leg of the mission from Earth to the Moon. The depiction of Earth from beyond the Moon's far side, using a perspective similar to that of Earthrise photographed by William Anders during Apollo 8, is descriptive of the mission's distance from Earth. Together, these shared design elements show the parallels between the two missions and support Artemis II's role as the first crewed lunar mission since the Apollo program.[132] \n",
+      "---\n"
+     ]
+    }
+   ],
+   "source": [
+    "results = semantic_search(\"What is Artemis II?\", top_k=3)\n",
+    "for score, text in results:\n",
+    "    print(score, text, \"\\n---\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "52e2c87ce44c4ba18e0356df664216f7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\con2m\\anaconda3\\Lib\\site-packages\\huggingface_hub\\file_download.py:143: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\con2m\\.cache\\huggingface\\hub\\models--facebook--bart-large-cnn. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
+      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
+      "  warnings.warn(message)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f8cd465afa0d48a88c2d635d7947b4a8",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/1.63G [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ccacadde5e834482acd3a025e649c7ea",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "generation_config.json:   0%|          | 0.00/363 [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9e32f3c2bb0541aab7e7ab7416103cf6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "vocab.json: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "effedc28870644baac6703912a5da658",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "merges.txt: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bcf2704257684281aa48a73753c9cbcc",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "tokenizer.json: 0.00B [00:00, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Device set to use cpu\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " Artemis II is a ten-day lunar flyby mission that launched on April 1, 2026. With a crew of four astronauts, it is the first crewed flight of the NASA-led Artemis program. It is also the first flight beyond low Earth orbit since Apollo 17 in 1972\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here :"
+    "from transformers import pipeline\n",
+    "summarizer = pipeline(\"summarization\", model=\"facebook/bart-large-cnn\")\n",
+    "\n",
+    "summary = summarizer(results[0][1], max_length=60, min_length=20, do_sample=False)\n",
+    "print(summary[0][\"summary_text\"])\n"
    ]
   }
  ],
@@ -1770,7 +2468,7 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -1784,7 +2482,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.13.5"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {