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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.13.1
+sdk_version: 5.13.2
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@7cc5aa195b4b0a6c343a4c17c4b6d998cb8d0d8b#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/7cc5aa195b4b0a6c343a4c17c4b6d998cb8d0d8b/gradio-5.13.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@324383fb814a955178a1f72ee1080a955ad593d0#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/324383fb814a955178a1f72ee1080a955ad593d0/gradio-5.13.2-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"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()\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}
+{"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}

run.py

@@ -10,7 +10,7 @@ def update_dataframe(df):
     yield df, 2
 
 def sum_values(df):
-    return pd.to_numeric(df.values.flatten(), errors='coerce').sum()
+    return pd.to_numeric(df.values.flatten(), errors='coerce').sum() # type: ignore
 
 initial_df = pd.DataFrame(0, index=range(5), columns=range(5))