examples:

app.py

@@ -1,29 +1,77 @@
 import gradio as gr
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
 from gradio_rerun import Rerun
 
 
-def predict(file_path: str | list[str]):
+def predict(search_in: str, file_path: str | list[str], url: str):
+    if url:
+        return url
     return file_path
 
 
 with gr.Blocks(css=".gradio-container { max-width: unset!important; }") as demo:
     with gr.Row():
         with gr.Column():
-            file_path = gr.File(file_count="multiple", type="filepath")
+            search_in = HuggingfaceHubSearch(
+                label="Search Models on Huggingface Hub and convert to rrd",
+                placeholder="Search for models on Huggingface",
+                search_type="model",
+            )
+            with gr.Group():
+                file_path = gr.File(file_count="multiple", type="filepath")
+                url = gr.Text(
+                    info="Or use a URL",
+                    label="URL",
+                )
         with gr.Column():
             pass
     btn = gr.Button("Run", scale=0)
     with gr.Row():
         rerun_viewer = Rerun(height=900)
-    inputs = [file_path]
+    inputs = [search_in, file_path, url]
     outputs = [rerun_viewer]
     gr.on(
-        [btn.click, file_path.upload],
+        [btn.click, search_in.submit],
         fn=predict,
         inputs=inputs,
         outputs=outputs,
     )
     gr.on([btn.click, file_path.upload], fn=predict, inputs=inputs, outputs=outputs)
 
+    gr.Examples(
+        examples=[
+            [
+                None,
+                None,
+                "https://app.rerun.io/version/0.15.1/examples/detect_and_track_objects.rrd",
+            ],
+            [
+                None,
+                ["./examples/rgbd.rrd"],
+                None,
+            ],
+            [
+                None,
+                ["./examples/rrt-star.rrd"],
+                None,
+            ],
+            [
+                None,
+                ["./examples/structure_from_motion.rrd"],
+                None,
+            ],
+            [
+                None,
+                ["./examples/structure_from_motion.rrd", "./examples/rrt-star.rrd"],
+                None,
+            ],
+        ],
+        fn=predict,
+        inputs=inputs,
+        outputs=outputs,
+        run_on_click=True,
+    )
+
 
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()