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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Dataframe Streaming
-emoji: 📊
-colorFrom: red
-colorTo: yellow
+title: dataframe_streaming 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 5.13.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

run.ipynb

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+{"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}

run.py

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+import gradio as gr
+import pandas as pd
+import time
+
+def update_dataframe(df):
+    df.iloc[:, :] = 1
+    yield df, 1
+    time.sleep(0.1)
+    df.iloc[:, :] = 2
+    yield df, 2
+
+def sum_values(df):
+    return pd.to_numeric(df.values.flatten(), errors='coerce').sum()
+
+initial_df = pd.DataFrame(0, index=range(5), columns=range(5))
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        button = gr.Button("Update DataFrame")
+        number = gr.Number(value=0, label="Number")
+    dataframe = gr.Dataframe(value=initial_df, label="Dataframe")
+
+    button.click(fn=update_dataframe, inputs=dataframe, outputs=[dataframe, number])
+    with gr.Row():
+        change_events = gr.Number(label="Change events")
+        input_events = gr.Number(label="Input events")
+        sum_of_values = gr.Number(label="Sum of values")
+
+    dataframe.change(lambda x:x+1, inputs=change_events, outputs=change_events)
+    dataframe.input(lambda x:x+1, inputs=input_events, outputs=input_events)
+    dataframe.change(sum_values, inputs=dataframe, outputs=sum_of_values)
+
+if __name__ == "__main__":
+    demo.launch()