import gradio as gr from gradio_huggingfacehub_search import HuggingfaceHubSearch with gr.Blocks() as demo: gr.Markdown("# 💫 Preview any dataset 💫") dataset_name = HuggingfaceHubSearch( label="Hub Dataset ID", placeholder="Search for dataset id on Huggingface", search_type="dataset", value="", ) @gr.render(inputs=dataset_name) def embed(name): if not name: return gr.Markdown("### No dataset provided") html_code = f""" <iframe src="https://huggingface.co/datasets/{name}/embed/viewer/default/train" frameborder="0" width="100%" height="600px" ></iframe> """ return gr.HTML(value=html_code) demo.launch()