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      "C:\\Users\\hamed\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\torch\\cuda\\__init__.py:83: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at  C:\\actions-runner\\_work\\pytorch\\pytorch\\builder\\windows\\pytorch\\c10\\cuda\\CUDAFunctions.cpp:109.)\n",
      "  return torch._C._cuda_getDeviceCount() > 0\n"
     ]
    },
    {
     "ename": "OSError",
     "evalue": "[E050] Can't find model 'en_core_web_sm'. It doesn't seem to be a Python package or a valid path to a data directory.",
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      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mOSError\u001B[0m                                   Traceback (most recent call last)",
      "Cell \u001B[1;32mIn [1], line 2\u001B[0m\n\u001B[0;32m      1\u001B[0m \u001B[38;5;28;01mimport\u001B[39;00m \u001B[38;5;21;01mspacy\u001B[39;00m\n\u001B[1;32m----> 2\u001B[0m nlp \u001B[38;5;241m=\u001B[39m spacy\u001B[38;5;241m.\u001B[39mload(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124men_core_web_sm\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m      3\u001B[0m doc \u001B[38;5;241m=\u001B[39m nlp(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mThe dang cat squeezed some fresh orange juice\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m      4\u001B[0m spacy\u001B[38;5;241m.\u001B[39mdisplacy\u001B[38;5;241m.\u001B[39mserve(doc, style\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdep\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
      "File \u001B[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spacy\\__init__.py:51\u001B[0m, in \u001B[0;36mload\u001B[1;34m(name, vocab, disable, exclude, config)\u001B[0m\n\u001B[0;32m     30\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mload\u001B[39m(\n\u001B[0;32m     31\u001B[0m     name: Union[\u001B[38;5;28mstr\u001B[39m, Path],\n\u001B[0;32m     32\u001B[0m     \u001B[38;5;241m*\u001B[39m,\n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m     36\u001B[0m     config: Union[Dict[\u001B[38;5;28mstr\u001B[39m, Any], Config] \u001B[38;5;241m=\u001B[39m util\u001B[38;5;241m.\u001B[39mSimpleFrozenDict(),\n\u001B[0;32m     37\u001B[0m ) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m Language:\n\u001B[0;32m     38\u001B[0m     \u001B[38;5;124;03m\"\"\"Load a spaCy model from an installed package or a local path.\u001B[39;00m\n\u001B[0;32m     39\u001B[0m \n\u001B[0;32m     40\u001B[0m \u001B[38;5;124;03m    name (str): Package name or model path.\u001B[39;00m\n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m     49\u001B[0m \u001B[38;5;124;03m    RETURNS (Language): The loaded nlp object.\u001B[39;00m\n\u001B[0;32m     50\u001B[0m \u001B[38;5;124;03m    \"\"\"\u001B[39;00m\n\u001B[1;32m---> 51\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mutil\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mload_model\u001B[49m\u001B[43m(\u001B[49m\n\u001B[0;32m     52\u001B[0m \u001B[43m        \u001B[49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mvocab\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mvocab\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdisable\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdisable\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mexclude\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mexclude\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mconfig\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mconfig\u001B[49m\n\u001B[0;32m     53\u001B[0m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m\n",
      "File \u001B[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\spacy\\util.py:427\u001B[0m, in \u001B[0;36mload_model\u001B[1;34m(name, vocab, disable, exclude, config)\u001B[0m\n\u001B[0;32m    425\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m name \u001B[38;5;129;01min\u001B[39;00m OLD_MODEL_SHORTCUTS:\n\u001B[0;32m    426\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mIOError\u001B[39;00m(Errors\u001B[38;5;241m.\u001B[39mE941\u001B[38;5;241m.\u001B[39mformat(name\u001B[38;5;241m=\u001B[39mname, full\u001B[38;5;241m=\u001B[39mOLD_MODEL_SHORTCUTS[name]))  \u001B[38;5;66;03m# type: ignore[index]\u001B[39;00m\n\u001B[1;32m--> 427\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mIOError\u001B[39;00m(Errors\u001B[38;5;241m.\u001B[39mE050\u001B[38;5;241m.\u001B[39mformat(name\u001B[38;5;241m=\u001B[39mname))\n",
      "\u001B[1;31mOSError\u001B[0m: [E050] Can't find model 'en_core_web_sm'. It doesn't seem to be a Python package or a valid path to a data directory."
     ]
    }
   ],
   "source": [
    "import spacy\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "doc = nlp(\"The dang cat squeezed some fresh orange juice\")\n",
    "spacy.displacy.serve(doc, style=\"dep\")"
   ]
  }
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