Add AI gallery item

doc/gallery/ai_windturbines.md

@@ -0,0 +1,8 @@
+# Wind Turbines
+
+<img src="../_static/ai_windturbines.png" width="100%">
+
+```{literalinclude} ../../examples/gallery/ai_windturbines/windturbines.py
+---
+language: python
+```

doc/gallery/index.md

@@ -1,5 +1,22 @@
 # Gallery
 
+## Lumen AI
+
+::::{grid} 2 2 3 3
+:gutter: 1
+
+:::{grid-item-card} Windturbines
+:link: ai_windturbines
+:link-type: doc
+
+```{image} ../_static/ai_windturbines.png
+```
+:::
+
+::::
+
+## Lumen Spec
+
 ::::{grid} 2 2 3 3
 :gutter: 1
 
@@ -58,6 +75,7 @@
 ---
 hidden: true
 ---
+Wind Turbines <ai_windturbines>
 Precipitation <precip>
 Penguins <penguins>
 NYC Taxi Trips <nyc_taxi>

examples/gallery/ai_windturbines/windturbines.py

@@ -0,0 +1,66 @@
+import lumen.ai as lmai
+
+from lumen.ai.analysis import Analysis
+from lumen.sources.duckdb import DuckDBSource
+from lumen.views import YdataProfilingView
+
+
+class Profiling(Analysis):
+    """
+    Generates a profiling report for the given dataset.
+    """
+
+    def __call__(self, pipeline):
+        return YdataProfilingView(pipeline=pipeline)
+
+
+def duckduckgo_search(queries: list[str]) -> dict:
+    """
+    Perform a DuckDuckGo search for the provided queries.
+
+    Parameters
+    ----------
+    queries : list[str]
+        Search queries.
+
+    Returns
+    -------
+    dict
+        A dictionary mapping each query to a list of search results.
+        Each search result is a dict containing 'title' and 'url'.
+    """
+    import requests
+
+    from bs4 import BeautifulSoup
+
+    results = {}
+    for query in queries:
+        url = f"https://duckduckgo.com/html/?q={query}"
+        headers = {"User-Agent": "Mozilla/5.0"}
+        response = requests.get(url, headers=headers)
+        soup = BeautifulSoup(response.text, "html.parser")
+        links = soup.find_all("a", {"class": "result__a"}, href=True)
+
+        results[query] = [
+            {"title": link.get_text(strip=True), "url": link["href"]} for link in links
+        ]
+    return results
+
+
+data = [
+    "https://datasets.holoviz.org/windturbines/v1/windturbines.parq",
+    "https://github.com/jakevdp/data-USstates/raw/refs/heads/master/state-areas.csv",
+]
+analyst_agent = lmai.agents.AnalystAgent(
+    template_overrides={
+        "main": {"instructions": "Please focus on the outliers of the data."}
+    }
+)
+assistant = lmai.ExplorerUI(
+    data=data,
+    llm=lmai.llm.OpenAI(),
+    agents=[analyst_agent],
+    analyses=[Profiling],
+    tools=[duckduckgo_search],
+)
+assistant.servable()

pixi.toml

@@ -29,6 +29,7 @@ packaging = "*"
 pandas = "*"
 panel = ">=1.5.0"
 param = ">=1.9.0"
+lumen = "*"
 pip = "*"
 
 [feature.py310.dependencies]