Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 💫 Process parquet files 💫")
+    dataset_name = HuggingfaceHubSearch(
+            label="Hub Dataset ID",
+            placeholder="Search for dataset id on Huggingface",
+            search_type="dataset",
+            value="HuggingFaceFW/fineweb",
+        )
+
+    @gr.render(inputs=dataset_name)
+    def embed(name):
+        html_code = f"""
+        <iframe
+          src="https://huggingface.co/datasets/{name}/embed/viewer/default/train"
+          frameborder="0"
+          width="100%"
+          height="560px"
+        ></iframe>
+            """
+        return gr.HTML(value=html_code)
+
+
+demo.launch()