Add search functionality for Kaggle kernels

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
-import os, json, pathlib, tempfile
-from typing import List, Dict
+import os, json, pathlib, tempfile, datetime
+from typing import List, Dict, Optional
 
 from dotenv import load_dotenv
 load_dotenv()
@@ -35,6 +35,39 @@ def download_file(dataset_slug: str, file_name: str):
         zip_path = pathlib.Path(tmp_dir) / f"{file_name}.zip"
     return str(zip_path)
 
+def search_kernels(query: str, max_results: int = 20, language: str = "Python") -> List[Dict]:
+    language_filter : Optional[str] = None if language == "all" else language.lower()
+
+    kernels = api.kernels_list(
+        search=query,
+        language=language_filter,
+        page_size=min(max_results, 20),
+        sort_by="voteCount",
+    )
+
+    out = []
+    for k in kernels[:max_results]:
+        last_run_raw = getattr(k, "lastRunTime", None) or getattr(k, "updated", None)
+        try:
+            last_run = (
+                datetime.datetime.fromisoformat(last_run_raw.rstrip("z"))
+                .strftime("%Y-%m-%d %H:%M") if last_run_raw else None
+            )
+        except Exception:
+            last_run = last_run_raw
+        out.append(
+            {
+                "title": k.title,
+                "ref": k.ref,
+                "language": k.language,
+                "votes": k.totalVotes,
+                "status": k.kernelStatus,
+                "last_run": last_run,
+            }
+        )
+    return out
+    
+
 search_iface = gr.Interface(
     fn=search_datasets,
     inputs=[
@@ -65,9 +98,21 @@ download_file_iface = gr.Interface(
     description="Downloads one file from the dataset and returns it."
 )
 
+search_kernels_iface = gr.Interface(
+    fn = search_kernels,
+    inputs = [
+        gr.Textbox(label="search term", placeholder="e.g. computer vision"),
+        gr.Slider(1, 50, step=1, value=20, label="Max results"),
+        gr.Dropdown(["All", "Python", "R"], value="Python", label="Language"),
+    ],
+    outputs=gr.JSON(label="kernels"),
+    title="Search kaggle kernels",
+    description="Find notebook or script kernels by keyword, language, etc."
+)
+
 demo = gr.TabbedInterface(
-    [search_iface, list_files_iface, download_file_iface],
-    tab_names=["Search", "Files", "Download"]
+    [search_iface, list_files_iface, download_file_iface, search_kernels_iface],
+    tab_names=["Search Datasets", "Files", "Download File", "Search Kernels"],
 )
 
 def _bootstrap_kaggle_credentials():