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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

@@ -0,0 +1 @@
+pandas

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_colorful"]}, {"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 pandas as pd\n", "import gradio as gr\n", "\n", "df = pd.DataFrame(\n", "    {\n", "        \"A\": [14, 4, 5, 4, 1],\n", "        \"B\": [5, 2, 54, 3, 2],\n", "        \"C\": [20, 20, 7, 3, 8],\n", "        \"D\": [14, 3, 6, 2, 6],\n", "        \"E\": [23, 45, 64, 32, 23],\n", "    }\n", ")\n", "\n", "t = df.style.highlight_max(color=\"lightgreen\", axis=0)\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Dataframe(t)\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: dataframe_colorful"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio pandas "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import pandas as pd\n", "import gradio as gr\n", "\n", "df = pd.DataFrame(\n", "    {\n", "        \"A\": [14, 4, 5, 4, 1],\n", "        \"B\": [5, 2, 54, 3, 2],\n", "        \"C\": [20, 20, 7, 3, 8],\n", "        \"D\": [14, 3, 6, 2, 6],\n", "        \"E\": [23, 45, 64, 32, 23],\n", "    }\n", ")\n", "\n", "t = df.style.highlight_max(color=\"lightgreen\", axis=0)\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Dataframe(t)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}