{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/66_gradio.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
                "\n",
                "**Developing interactive web apps with gradio and leafmap**\n",
                "\n",
                "Uncomment the following line to install [geemap](https://geemap.org) if needed."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# !pip install -U geemap gradio"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import ee\n",
                "import gradio as gr\n",
                "import geemap.foliumap as geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map = geemap.Map(center=[21.79, 70.87], zoom=3)\n",
                "image = ee.Image('USGS/SRTMGL1_003')\n",
                "vis_params = {\n",
                "    'min': 0,\n",
                "    'max': 6000,\n",
                "    'palette': 'terrain',\n",
                "}\n",
                "Map.addLayer(image, vis_params, 'SRTM')\n",
                "Map"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Visualize an Earth Engine layer."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "def viz_dem(vmin, vmax, palette):\n",
                "    Map = geemap.Map()\n",
                "    image = ee.Image('USGS/SRTMGL1_003')\n",
                "    vis_params = {\n",
                "        'min': vmin,\n",
                "        'max': vmax,\n",
                "        'palette': palette,\n",
                "    }\n",
                "    Map.addLayer(image, vis_params, 'SRTM')\n",
                "    return Map.to_gradio()\n",
                "\n",
                "\n",
                "vmin = gr.Number(value=0, label=\"Min value\")\n",
                "vmax = gr.Number(value=6000, label=\"Max value\")\n",
                "palette = gr.Textbox(value=\"terrain\", label=\"Palette\")\n",
                "title = 'Visualize Earth Engine Data'\n",
                "demo = gr.Interface(viz_dem, [vmin, vmax, palette], \"html\", title=title)\n",
                "demo.launch()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Visualize Earth Engine layers side by side."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "def split(left, right):\n",
                "    Map = geemap.Map(center=(40, -100), zoom=4, height=600)\n",
                "\n",
                "    nlcd_left = ee.Image(f'USGS/NLCD_RELEASES/2019_REL/NLCD/{left}').select('landcover')\n",
                "    nlcd_right = ee.Image(f'USGS/NLCD_RELEASES/2019_REL/NLCD/{right}').select(\n",
                "        'landcover'\n",
                "    )\n",
                "\n",
                "    left_layer = geemap.ee_tile_layer(nlcd_left, {}, f'NLCD {left}')\n",
                "    right_layer = geemap.ee_tile_layer(nlcd_right, {}, f'NLCD {right}')\n",
                "\n",
                "    Map.split_map(\n",
                "        left_layer,\n",
                "        right_layer,\n",
                "    )\n",
                "    return Map.to_gradio()\n",
                "\n",
                "\n",
                "left_input = gr.Textbox(value='2001', label=\"Left Layer URL\")\n",
                "right_input = gr.Textbox(value='2019', label=\"Right Layer URL\")\n",
                "\n",
                "title = 'Visualizing National Land Cover Database (NLCD)'\n",
                "demo = gr.Interface(split, [left_input, right_input], \"html\", title=title)\n",
                "demo.launch()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Visualize Cloud Optimized GeoTIFF (COG)."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "def split(left, right):\n",
                "    Map = geemap.Map(center=[21.79, 70.87], zoom=3)\n",
                "    Map.split_map(left, right)\n",
                "    print(Map.options[\"layersControl\"])\n",
                "    return Map.to_gradio()\n",
                "\n",
                "\n",
                "left_url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'\n",
                "right_url = 'https://opendata.digitalglobe.com/events/california-fire-2020/post-event/2020-08-14/pine-gulch-fire20/10300100AAC8DD00.tif'\n",
                "left_input = gr.Textbox(value=left_url, label=\"Left Layer URL\")\n",
                "right_input = gr.Textbox(value=right_url, label=\"Right Layer URL\")\n",
                "title = 'Visualze Cloud Optimized GeoTIFF (COG)'\n",
                "demo = gr.Interface(split, [left_input, right_input], \"html\", title=title)\n",
                "demo.launch()"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}