Upload folder using huggingface_hub

README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.25.0
+sdk_version: 4.27.0
 app_file: run.py
 pinned: false
 hf_oauth: true

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_flipper"]}, {"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 numpy as np\n", "import gradio as gr\n", "\n", "\n", "def flip_text(x):\n", "    return x[::-1]\n", "\n", "\n", "def flip_image(x):\n", "    return np.fliplr(x)\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\"Flip text or image files using this demo.\")\n", "    with gr.Tab(\"Flip Text\"):\n", "        text_input = gr.Textbox()\n", "        text_output = gr.Textbox()\n", "        text_button = gr.Button(\"Flip\")\n", "    with gr.Tab(\"Flip Image\"):\n", "        with gr.Row():\n", "            image_input = gr.Image()\n", "            image_output = gr.Image()\n", "        image_button = gr.Button(\"Flip\")\n", "\n", "    with gr.Accordion(\"Open for More!\", open=False):\n", "        gr.Markdown(\"Look at me...\")\n", "        temp_slider = gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.1, interactive=True, label=\"Slide me\")\n", "        temp_slider.change(lambda x:x, [temp_slider])\n", "\n", "    text_button.click(flip_text, inputs=text_input, outputs=text_output)\n", "    image_button.click(flip_image, inputs=image_input, outputs=image_output)\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: blocks_flipper"]}, {"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 numpy as np\n", "import gradio as gr\n", "\n", "\n", "def flip_text(x):\n", "    return x[::-1]\n", "\n", "\n", "def flip_image(x):\n", "    return np.fliplr(x)\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\"Flip text or image files using this demo.\")\n", "    with gr.Tab(\"Flip Text\"):\n", "        text_input = gr.Textbox()\n", "        text_output = gr.Textbox()\n", "        text_button = gr.Button(\"Flip\")\n", "    with gr.Tab(\"Flip Image\"):\n", "        with gr.Row():\n", "            image_input = gr.Image()\n", "            image_output = gr.Image()\n", "        image_button = gr.Button(\"Flip\")\n", "\n", "    with gr.Accordion(\"Open for More!\", open=False):\n", "        gr.Markdown(\"Look at me...\")\n", "        temp_slider = gr.Slider(\n", "            minimum=0.0,\n", "            maximum=1.0,\n", "            value=0.1,\n", "            step=0.1,\n", "            interactive=True,\n", "            label=\"Slide me\",\n", "        )\n", "        temp_slider.change(lambda x: x, [temp_slider])\n", "\n", "    text_button.click(flip_text, inputs=text_input, outputs=text_output)\n", "    image_button.click(flip_image, inputs=image_input, outputs=image_output)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -24,8 +24,15 @@ with gr.Blocks() as demo:
 
     with gr.Accordion("Open for More!", open=False):
         gr.Markdown("Look at me...")
-        temp_slider = gr.Slider(minimum=0.0, maximum=1.0, value=0.1, step=0.1, interactive=True, label="Slide me")
-        temp_slider.change(lambda x:x, [temp_slider])
+        temp_slider = gr.Slider(
+            minimum=0.0,
+            maximum=1.0,
+            value=0.1,
+            step=0.1,
+            interactive=True,
+            label="Slide me",
+        )
+        temp_slider.change(lambda x: x, [temp_slider])
 
     text_button.click(flip_text, inputs=text_input, outputs=text_output)
     image_button.click(flip_image, inputs=image_input, outputs=image_output)