Example_Code_with_spaCy_and_Knowledge_Graph_Integration.ipynb

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        "import spacy\n",
        "\n",
        "# Load spaCy model\n",
        "nlp = spacy.load(\"en_core_web_sm\")\n",
        "\n",
        "# Simulated function to query a knowledge graph\n",
        "def query_knowledge_graph(query):\n",
        "    # This is a placeholder function. Replace it with actual knowledge graph querying logic.\n",
        "    # Here we simulate retrieving facts related to climate change.\n",
        "    return [\n",
        "        \"Global temperatures have risen by 1.2°C since the late 19th century.\",\n",
        "        \"Sea levels are rising at an accelerated rate.\",\n",
        "        \"The concentration of CO2 in the atmosphere has increased significantly.\"\n",
        "    ]\n",
        "\n",
        "# Function to generate text with facts\n",
        "def generate_text_with_facts(doc, facts):\n",
        "    summary = doc.text + \"\\n\\nHere are some related facts:\\n\"\n",
        "    for fact in facts:\n",
        "        summary += f\"- {fact}\\n\"\n",
        "    return summary\n",
        "\n",
        "# Example text\n",
        "text = \"Generate a summary about climate change based on recent data.\"\n",
        "doc = nlp(text)\n",
        "\n",
        "# Query the knowledge graph\n",
        "related_facts = query_knowledge_graph(\"climate change\")\n",
        "\n",
        "# Generate text with the retrieved facts\n",
        "generated_text = generate_text_with_facts(doc, related_facts)\n",
        "\n",
        "print(\"Generated Text with Facts:\")\n",
        "print(generated_text)"
      ]
    }
  ]
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