{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_random_slider"]}, {"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": ["\n", "import gradio as gr\n", "\n", "\n", "def func(slider_1, slider_2):\n", "    return slider_1 * 5 + slider_2\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    slider = gr.Slider(minimum=-10.2, maximum=15, label=\"Random Slider (Static)\", randomize=True)\n", "    slider_1 = gr.Slider(minimum=100, maximum=200, label=\"Random Slider (Input 1)\", randomize=True)\n", "    slider_2 = gr.Slider(minimum=10, maximum=23.2, label=\"Random Slider (Input 2)\", randomize=True)\n", "    slider_3 = gr.Slider(value=3, label=\"Non random slider\")\n", "    btn = gr.Button(\"Run\")\n", "    btn.click(func, inputs=[slider_1, slider_2], outputs=gr.Number())\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}