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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e2c316d1f8a032d9040f32d3e99b1b4a27cdc8b8#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e2c316d1f8a032d9040f32d3e99b1b4a27cdc8b8/gradio-6.1.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@fac3844e01d6d648972ce7ac52302e7ad65034bd#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/fac3844e01d6d648972ce7ac52302e7ad65034bd/gradio-6.1.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_block-ui-test"]}, {"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", "\n", "with gr.Blocks() as demo:\n", "    count = gr.Slider(minimum=1, maximum=10, step=1, label=\"count\")\n", "    data = gr.DataFrame(\n", "        headers=[\"A\", \"B\"], col_count=(2, \"fixed\"), type=\"array\", interactive=True\n", "    )\n", "    btn = gr.Button(value=\"click\")\n", "    btn.click(\n", "        fn=lambda cnt: [[str(2 * i), str(2 * i + 1)] for i in range(int(cnt))],\n", "        inputs=[count],\n", "        outputs=[data],\n", "    )\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_block-ui-test"]}, {"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", "\n", "with gr.Blocks() as demo:\n", "    count = gr.Slider(minimum=1, maximum=10, step=1, label=\"count\")\n", "    data = gr.DataFrame(\n", "        headers=[\"A\", \"B\"], col_count=(2, \"fixed\"), type=\"array\", interactive=True  # type: ignore\n", "    )\n", "    btn = gr.Button(value=\"click\")\n", "    btn.click(\n", "        fn=lambda cnt: [[str(2 * i), str(2 * i + 1)] for i in range(int(cnt))],\n", "        inputs=[count],\n", "        outputs=[data],\n", "    )\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -3,7 +3,7 @@ import gradio as gr
 with gr.Blocks() as demo:
     count = gr.Slider(minimum=1, maximum=10, step=1, label="count")
     data = gr.DataFrame(
-        headers=["A", "B"], col_count=(2, "fixed"), type="array", interactive=True
+        headers=["A", "B"], col_count=(2, "fixed"), type="array", interactive=True  # type: ignore
     )
     btn = gr.Button(value="click")
     btn.click(