Upload folder using huggingface_hub

README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.47.1
+sdk_version: 3.48.0
 app_file: run.py
 pinned: false
 hf_oauth: true

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: gallery_selections"]}, {"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", "import numpy as np\n", "\n", "with gr.Blocks() as demo:\n", "    imgs = gr.State()\n", "    gallery = gr.Gallery()\n", "\n", "    def generate_images():\n", "        images = []\n", "        for _ in range(9):\n", "            image = np.ones((100, 100, 3), dtype=np.uint8) * np.random.randint(\n", "                0, 255, 3\n", "            )  # image is a solid single color\n", "            images.append(image)\n", "        return images, images\n", "\n", "    demo.load(generate_images, None, [gallery, imgs])\n", "\n", "    with gr.Row():\n", "        selected = gr.Number(show_label=False, placeholder=\"Selected\")\n", "        darken_btn = gr.Button(\"Darken selected\")\n", "\n", "    def get_select_index(evt: gr.SelectData):\n", "        return evt.index\n", "\n", "    gallery.select(get_select_index, None, selected)\n", "\n", "    def darken_img(imgs, index):\n", "        index = int(index)\n", "        imgs[index] = np.round(imgs[index] * 0.8).astype(np.uint8)\n", "        return imgs, imgs\n", "\n", "    darken_btn.click(darken_img, [imgs, selected], [imgs, gallery])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: gallery_selections"]}, {"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", "import numpy as np\n", "\n", "with gr.Blocks() as demo:\n", "    imgs = gr.State()\n", "    gallery = gr.Gallery()\n", "\n", "    def generate_images():\n", "        images = []\n", "        for _ in range(9):\n", "            image = np.ones((100, 100, 3), dtype=np.uint8) * np.random.randint(\n", "                0, 255, 3\n", "            )  # image is a solid single color\n", "            images.append(image)\n", "        return images, images\n", "\n", "    demo.load(generate_images, None, [gallery, imgs])\n", "\n", "    with gr.Row():\n", "        selected = gr.Number(show_label=False, placeholder=\"Selected\")\n", "        darken_btn = gr.Button(\"Darken selected\")\n", "\n", "    def get_select_index(evt: gr.SelectData):\n", "        return evt.index\n", "\n", "    gallery.select(get_select_index, None, selected)\n", "\n", "    def darken_img(imgs, index):\n", "        index = int(index)\n", "        imgs[index] = np.round(imgs[index] * 0.8).astype(np.uint8)\n", "        return imgs, imgs\n", "\n", "    darken_btn.click(darken_img, [imgs, selected], [imgs, gallery])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}