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requirements.txt

@@ -1,2 +1,2 @@
 vega_datasets
-https://gradio-main-build.s3.amazonaws.com/9a259cb8d0d002b445c4a36e0b60821d8b1ca052/gradio-3.14.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/0879f0a296604893f195429611b8c7484d81ad0a/gradio-3.14.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: native_plots"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": 44380577570523278879349135829904343037, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plot\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plot.render()\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: native_plots"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/line_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": 44380577570523278879349135829904343037, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plot\n", "from line_plot_demo import line_plot\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plot.render()\n", "        with gr.TabItem(\"Line Plot\"):\n", "            line_plot.render()\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,12 +1,15 @@
 import gradio as gr
 
 from scatter_plot_demo import scatter_plot
+from line_plot_demo import line_plot
 
 
 with gr.Blocks() as demo:
     with gr.Tabs():
         with gr.TabItem("Scatter Plot"):
             scatter_plot.render()
+        with gr.TabItem("Line Plot"):
+            line_plot.render()
 
 if __name__ == "__main__":
     demo.launch()

scatter_plot_demo.py

@@ -30,7 +30,7 @@ def scatter_plot_fn(dataset):
             title="Car Data",
             y_title="Miles per Gallon",
             color_legend_title="Origin of Car",
-            caption="MPG vs Horsepower of various cars"
+            caption="MPG vs Horsepower of various cars",
         )