Create app.py

app.py

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+import gradio as gr
+
+# === Sample Data ===
+news_mentions = [
+    {
+        "source": "One America News Network",
+        "title": "Victor Davis Hanson on the 2024 Election Landscape",
+        "link": "https://example.com/vdh-oann-election "
+    },
+    {
+        "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()