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requirements.txt

@@ -1,2 +1,2 @@
 vega_datasets
-https://gradio-main-build.s3.amazonaws.com/2883a12c1fe643ff0b6c9077786548529f7a9abb/gradio-3.36.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/b4173886bab24d47bef9936a96801ce6ac6aba0e/gradio-3.36.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: lineplot_component"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from vega_datasets import data\n", "\n", "css = \"footer {display: none !important;} .gradio-container {min-height: 0px !important;}\"\n", "\n", "with gr.Blocks(css=css) as demo:\n", "    gr.LinePlot(\n", "        data.stocks(),\n", "        x=\"date\",\n", "        y=\"price\",\n", "        color=\"symbol\",\n", "        color_legend_position=\"bottom\",\n", "        title=\"Stock Prices\",\n", "        tooltip=[\"date\", \"price\", \"symbol\"],\n", "        height=300,\n", "        width=300,\n", "        show_label=False,\n", "    ).style(\n", "        container=False,\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: lineplot_component"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from vega_datasets import data\n", "\n", "with gr.Blocks() as demo:\n", "    gr.LinePlot(\n", "        data.stocks(),\n", "        x=\"date\",\n", "        y=\"price\",\n", "        color=\"symbol\",\n", "        color_legend_position=\"bottom\",\n", "        title=\"Stock Prices\",\n", "        tooltip=[\"date\", \"price\", \"symbol\"],\n", "        height=300,\n", "        width=300,\n", "        show_label=False,\n", "    ).style(\n", "        container=False,\n", "    )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,9 +1,7 @@
 import gradio as gr
 from vega_datasets import data
 
-css = "footer {display: none !important;} .gradio-container {min-height: 0px !important;}"
-
-with gr.Blocks(css=css) as demo:
+with gr.Blocks() as demo:
     gr.LinePlot(
         data.stocks(),
         x="date",