Upload folder using huggingface_hub

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: json_component"]}, {"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", "    inp = gr.JSON(\n", "        label=\"InputJSON\",\n", "        value={\n", "            \"Key 1\": \"Value 1\",\n", "            \"Key 2\": {\"Key 3\": \"Value 2\", \"Key 4\": \"Value 3\"},\n", "            \"Key 5\": [\"Item 1\", \"Item 2\", \"Item 3\"],\n", "            \"Key 6\": 123,\n", "            \"Key 7\": 123.456,\n", "            \"Key 8\": True,\n", "            \"Key 9\": False,\n", "            \"Key 10\": None,\n", "            \"Key 11\": np.array([1, 2, 3]),\n", "        }\n", "    )\n", "    out = gr.JSON(label=\"OutputJSON\")\n", "    btn = gr.Button(\"Submit\")\n", "    btn.click(lambda x: x, inp, out)\n", "\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: json_component"]}, {"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", "    inp = gr.JSON(\n", "        label=\"InputJSON\",\n", "        value={\n", "            \"Key 1\": \"Value 1\",\n", "            \"Key 2\": {\"Key 3\": \"Value 2\", \"Key 4\": \"Value 3\"},\n", "            \"Key 5\": [\"Item 1\", \"Item 2\", \"Item 3\"],\n", "            \"Key 6\": 123,\n", "            \"Key 7\": 123.456,\n", "            \"Key 8\": True,\n", "            \"Key 9\": False,\n", "            \"Key 10\": None,\n", "            \"Key 11\": np.array([1, 2, 3]),\n", "        }\n", "    )\n", "    out = gr.JSON(label=\"OutputJSON\")\n", "    btn = gr.Button(\"Submit\")\n", "    btn.click(lambda x: x, inp, out)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -20,6 +20,5 @@ with gr.Blocks() as demo:
     btn = gr.Button("Submit")
     btn.click(lambda x: x, inp, out)
 
-
 if __name__ == "__main__":
     demo.launch()