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DrVictorDavisHanson
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import gradio as gr

# === Sample Data ===
news_mentions = [
    {
        "source": "The Daily Signal",
        "title": "Victor Davis Hanson: The Trump Deranged “Experts” Were Wrong. Again.",
        "link": "https://www.youtube.com/live/WPSiYIl8ZLg "
    },
    {
        "source": "National Review",
        "title": "The Decline of Civic Identity in Modern America",
        "link": "https://example.com/vdh-nr-article "
    },
    {
        "source": "Fox News",
        "title": "Hanson Warns About Cultural Erosion",
        "link": "https://example.com/vdh-fox-interview "
    }
]

tv_appearances = [
    {
        "show": "OANN Live Interview",
        "date": "April 5, 2024",
        "link": "https://example.com/vdh-oann-appearance1 "
    },
    {
        "show": "Political Roundtable Discussion",
        "date": "March 28, 2024",
        "link": "https://example.com/vdh-oann-appearance2 "
    }
]

books = [
    {
        "title": "The Dying Citizen: How Progressive Elites, Tribalism, and Globalization Are Destroying the Idea of America",
        "link": "https://www.amazon.com/Dying-Citizen-Progressive-Globalization-Destroying-ebook/dp/B08W4ZZTTP?r"
    },
    {
        "title": "The Second World Wars: How the First Global Conflict Was Fought and Won",
        "link": " https://www.amazon.com/Second-World-Wars-Global-Conflict-ebook/dp/B01N808V2J "
    }
]

# === Helper Function (Flexible) ===
def display_links(data, title_key="title", link_key="link"):
    return "\n".join([f"- [{item[title_key]}]({item[link_key]})" for item in data])

# === Gradio Interface ===
with gr.Blocks(theme="soft") as demo:
    gr.Markdown(
        """
        # Doctor Victor Davis Hanson News & Publications Aggregator
        
        This app aggregates publicly available mentions and publications related to **Dr. Victor Davis Hanson**, 
        a public academic figure known for their commentary on politics and policy. The purpose of this tool is to provide 
        a centralized resource for tracking appearances, articles, interviews, and published works — intended for research, 
        media monitoring, and academic study.
        
        > 🔍 *Note: This model does not express opinions, endorse views, or verify accuracy. Users are encouraged to consult original sources for context.*
        """
    )

    with gr.Tab("News Mentions"):
        gr.Markdown(display_links(news_mentions))

    with gr.Tab("TV Appearances"):
        gr.Markdown(display_links(tv_appearances, title_key="show"))

    with gr.Tab("Books"):
        gr.Markdown("## 📚 Books by Dr. Victor Davis Hanson\n")
        gr.Markdown(display_links(books))
        gr.Markdown(
            "> 📘 These links open directly to Amazon product pages. No user data is collected via these links."
        )

    gr.Markdown(
        """
        ## ⚖️ Legal & Ethical Notice
        
        - **Fair Use**: Quoted headlines and excerpts fall under U.S. fair use doctrine for purposes of research, criticism, and news reporting.
        - **GDPR Compliance**: This app does not collect personal data about users or store unnecessary personal information about the subject.
        - **Right to Be Forgotten**: If the individual or any third party requests removal of content or data, please use the Contact tab.
        - **No Affiliate Marketing**: We do not use Amazon affiliate links or earn revenue from book referrals.
        """
    )

# Launch the app
demo.launch()