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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_editor_layers"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/image_editor_layers/cheetah.jpg\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/image_editor_layers/layer1.png"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from pathlib import Path\n", "\n", "dir_ = Path(__file__).parent\n", "\n", "def predict(im):\n", " return im\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Row():\n", " im = gr.ImageEditor(\n", " type=\"numpy\",\n", " interactive=True,\n", " )\n", " im_preview = gr.ImageEditor(\n", " interactive=True,\n", " )\n", "\n", " set_background = gr.Button(\"Set Background\")\n", " set_background.click(\n", " lambda: {\n", " \"background\": str(dir_ / \"cheetah.jpg\"),\n", " \"layers\": None,\n", " \"composite\": None,\n", " },\n", " None,\n", " im,\n", " show_progress=\"hidden\",\n", " )\n", " set_layers = gr.Button(\"Set Layers\")\n", " set_layers.click(\n", " lambda: {\n", " \"background\": str(dir_ / \"cheetah.jpg\"),\n", " \"layers\": [str(dir_ / \"layer1.png\")],\n", " \"composite\": None,\n", " },\n", " None,\n", " im,\n", " show_progress=\"hidden\",\n", " )\n", " set_composite = gr.Button(\"Set Composite\")\n", " set_composite.click(\n", " lambda: {\n", " \"background\": None,\n", " \"layers\": None,\n", " \"composite\": \"https://nationalzoo.si.edu/sites/default/files/animals/cheetah-003.jpg\",\n", " },\n", " None,\n", " im,\n", " show_progress=\"hidden\",\n", " )\n", "\n", " im.change(\n", " predict,\n", " outputs=im_preview,\n", " inputs=im,\n", " )\n", "\n", " gr.Examples(\n", " examples=[\n", " \"https://upload.wikimedia.org/wikipedia/commons/0/09/TheCheethcat.jpg\",\n", " {\n", " \"background\": str(dir_ / \"cheetah.jpg\"),\n", " \"layers\": [str(dir_ / \"layer1.png\")],\n", " \"composite\": None,\n", " },\n", " ],\n", " inputs=im,\n", " )\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |