remove language filter and update output fields

app.py

@@ -35,12 +35,10 @@ 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()
-
+def search_kernels(query: str, max_results: int = 20) -> List[Dict]:
+    
     kernels = api.kernels_list(
         search=query,
-        language=language_filter,
         page_size=min(max_results, 20),
         sort_by="voteCount",
     )
@@ -59,9 +57,9 @@ def search_kernels(query: str, max_results: int = 20, language: str = "Python")
             {
                 "title": k.title,
                 "ref": k.ref,
-                "language": k.language,
-                "votes": k.totalVotes,
-                "status": k.kernelStatus,
+                "language": getattr(k, "language", None),
+                "kernel_type": getattr(k, "kernelType", None),
+                "votes": k.total_votes,
                 "last_run": last_run,
             }
         )
@@ -71,7 +69,7 @@ def search_kernels(query: str, max_results: int = 20, language: str = "Python")
 search_iface = gr.Interface(
     fn=search_datasets,
     inputs=[
-        gr.Textbox(label="Search term", placeholder="e.g. titanic"),
+        gr.Textbox(label="Search term", placeholder="e.g. fashion mnist"),
         gr.Slider(1, 50, step=1, value=20, label="Max results")
     ],
     outputs=gr.JSON(label="Datasets"),
@@ -81,7 +79,7 @@ search_iface = gr.Interface(
 
 list_files_iface = gr.Interface(
     fn=list_files,
-    inputs=gr.Textbox(label="Dataset slug", placeholder="zynicide/wine-reviews"),
+    inputs=gr.Textbox(label="Dataset slug", placeholder="zalando-research/fashionmnist"),
     outputs=gr.JSON(label="Files"),
     title="List Dataset Files",
     description="Given a dataset slug, returns its file list."
@@ -90,8 +88,8 @@ list_files_iface = gr.Interface(
 download_file_iface = gr.Interface(
     fn=download_file,
     inputs=[
-        gr.Textbox(label="Dataset slug", placeholder="zynicide/wine-reviews"),
-        gr.Textbox(label="File name", placeholder="winemag-data_first150k.csv")
+        gr.Textbox(label="Dataset slug", placeholder="zalando-research/fashionmnist"),
+        gr.Textbox(label="File name", placeholder="fashion-mnist_test.csv")
     ],
     outputs=gr.File(label="Download file"),
     title="Download a File",
@@ -99,15 +97,14 @@ download_file_iface = gr.Interface(
 )
 
 search_kernels_iface = gr.Interface(
-    fn = search_kernels,
-    inputs = [
+    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."
+    description="Find notebook or script kernels by keyword."
 )
 
 demo = gr.TabbedInterface(