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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.32.1
+sdk_version: 4.36.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@bc1eff12c1e9ca93bc44348913f06466fb888f9a#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/bc1eff12c1e9ca93bc44348913f06466fb888f9a/gradio-4.32.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@a2cd8a9838864596318a686510f15e7998a27880#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/a2cd8a9838864596318a686510f15e7998a27880/gradio-4.36.0-py3-none-any.whl

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({\"A\" : [14, 4, 5, 4, 1], \n", "\t\t\t\t\"B\" : [5, 2, 54, 3, 2], \n", "\t\t\t\t\"C\" : [20, 20, 7, 3, 8], \n", "\t\t\t\t\"D\" : [14, 3, 6, 2, 6], \n", "\t\t\t\t\"E\" : [23, 45, 64, 32, 23]}) \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()"]}], "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 "]}, {"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}

run.py

@@ -1,16 +1,20 @@
-import pandas as pd 
+import pandas as pd
 import gradio as gr
 
-df = pd.DataFrame({"A" : [14, 4, 5, 4, 1], 
-				"B" : [5, 2, 54, 3, 2], 
-				"C" : [20, 20, 7, 3, 8], 
-				"D" : [14, 3, 6, 2, 6], 
-				"E" : [23, 45, 64, 32, 23]}) 
+df = pd.DataFrame(
+    {
+        "A": [14, 4, 5, 4, 1],
+        "B": [5, 2, 54, 3, 2],
+        "C": [20, 20, 7, 3, 8],
+        "D": [14, 3, 6, 2, 6],
+        "E": [23, 45, 64, 32, 23],
+    }
+)
 
-t = df.style.highlight_max(color = 'lightgreen', axis = 0)
+t = df.style.highlight_max(color="lightgreen", axis=0)
 
 with gr.Blocks() as demo:
     gr.Dataframe(t)
-    
+
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()