run.ipynb

{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: dataset_component"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Dataset(components=[gr.Textbox(visible=False)],\n", "        label=\"Text Dataset\",\n", "        samples=[\n", "            [\"The quick brown fox jumps over the lazy dog\"],\n", "            [\"Build & share delightful machine learning apps\"],\n", "            [\"She sells seashells by the seashore\"],\n", "            [\"Supercalifragilisticexpialidocious\"],\n", "            [\"Lorem ipsum\"],\n", "            [\"That's all folks!\"]\n", "        ],\n", "    )\n", "demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}