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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 5.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,3 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@a15381b23d3f6b59180e83a94a5279feccbf79a2#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/a15381b23d3f6b59180e83a94a5279feccbf79a2/gradio-4.44.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@bbf9ba7e997022960c621f72baa891185bd03732#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/bbf9ba7e997022960c621f72baa891185bd03732/gradio-5.0.0-py3-none-any.whl
+numpy

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", "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 numpy "]}, {"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}