run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_streaming"]}, {"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 pandas as pd\n", "import time\n", "\n", "def update_dataframe(df):\n", "    df.iloc[:, :] = 1\n", "    yield df, 1\n", "    time.sleep(0.1)\n", "    df.iloc[:, :] = 2\n", "    yield df, 2\n", "\n", "def sum_values(df):\n", "    return pd.to_numeric(df.values.flatten(), errors='coerce').sum() # type: ignore\n", "\n", "initial_df = pd.DataFrame(0, index=range(5), columns=range(5))\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        button = gr.Button(\"Update DataFrame\")\n", "        number = gr.Number(value=0, label=\"Number\")\n", "    dataframe = gr.Dataframe(value=initial_df, label=\"Dataframe\")\n", "\n", "    button.click(fn=update_dataframe, inputs=dataframe, outputs=[dataframe, number])\n", "    with gr.Row():\n", "        change_events = gr.Number(label=\"Change events\")\n", "        input_events = gr.Number(label=\"Input events\")\n", "        sum_of_values = gr.Number(label=\"Sum of values\")\n", "\n", "    dataframe.change(lambda x:x+1, inputs=change_events, outputs=change_events)\n", "    dataframe.input(lambda x:x+1, inputs=input_events, outputs=input_events)\n", "    dataframe.change(sum_values, inputs=dataframe, outputs=sum_of_values)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}