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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Dataframe Datetime Long Main
-emoji: 🐨
-colorFrom: green
-colorTo: red
+title: dataframe_datetime_long_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 6.12.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+gradio-client @ git+https://github.com/gradio-app/gradio@1d5994da102bd9bf2367f58789de508b1727b1bf#subdirectory=client/python
+https://huggingface.co/buckets/gradio/pypi-previews/resolve/1d5994da102bd9bf2367f58789de508b1727b1bf/gradio-6.12.0-py3-none-any.whl

run.py

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+import random
+
+import gradio as gr
+
+ROWS = 5000
+rng = random.Random(42)
+
+headers = [
+    "date",
+    "str_short",
+    "str_long",
+    "num",
+    "bool",
+    "markdown",
+    "html",
+]
+datatype = ["date", "str", "str", "number", "bool", "markdown", "html"]
+
+WORDS = [
+    "alpha", "beta", "gamma", "delta", "epsilon", "zeta", "eta", "theta",
+    "iota", "kappa", "lambda", "mu", "nu", "xi", "omicron", "pi",
+]
+
+MD_WRAPPERS = [
+    lambda s: f"**{s}**",
+    lambda s: f"*{s}*",
+    lambda s: f"`{s}`",
+    lambda s: f"[{s}](https://example.com)",
+    lambda s: f"# {s}",
+    lambda s: s,
+]
+
+HTML_WRAPPERS = [
+    lambda s: f"<b>{s}</b>",
+    lambda s: f"<i>{s}</i>",
+    lambda s: f'<span style="color: tomato">{s}</span>',
+    lambda s: f'<a href="https://example.com" target="_blank">{s}</a>',
+    lambda s: f"<code>{s}</code>",
+    lambda s: s,
+]
+
+
+def random_text(min_words: int, max_words: int) -> str:
+    n = rng.randint(min_words, max_words)
+    return " ".join(rng.choice(WORDS) for _ in range(n))
+
+
+def random_md() -> str:
+    return rng.choice(MD_WRAPPERS)(random_text(1, 8))
+
+
+def random_html() -> str:
+    return rng.choice(HTML_WRAPPERS)(random_text(1, 8))
+
+
+data = [
+    [
+        f"2026-01-{(i % 28) + 1:02d}",
+        rng.choice(WORDS),
+        random_text(2, 6),
+        round(rng.random() * 1000, 2),
+        rng.random() > 0.5,
+        random_md(),
+        random_html(),
+    ]
+    for i in range(ROWS)
+]
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        f"### Reproduction for #13279: {ROWS} rows × mixed dtypes (markdown/html/date/number/bool/str)"
+    )
+    gr.Dataframe(
+        value=data, headers=headers, datatype=datatype, interactive=False
+    )
+
+if __name__ == "__main__":
+    demo.launch()