{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_mod"]}, {"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", "from gradio.media import get_image\n", "\n", "def image_mod(image):\n", "    return image.rotate(45)\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "new_samples = [\n", "    [get_image(\"logo.png\")],\n", "    [get_image(\"tower.jpg\")],\n", "]\n", "\n", "with gr.Blocks() as demo:\n", "    interface = gr.Interface(\n", "        image_mod,\n", "        gr.Image(type=\"pil\"),\n", "        \"image\",\n", "        flagging_options=[\"blurry\", \"incorrect\", \"other\"],\n", "        examples=[\n", "            get_image(\"cheetah1.jpg\"),\n", "            get_image(\"lion.jpg\"),\n", "        ],\n", "    )\n", "\n", "    btn = gr.Button(\"Update Examples\")\n", "    btn.click(lambda : gr.Dataset(samples=new_samples), None, interface.examples_handler.dataset)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}