freddyaboulton HF Staff commited on
Commit
7bef086
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1 Parent(s): fe510ab

Upload folder using huggingface_hub

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Files changed (3) hide show
  1. README.md +1 -1
  2. run.ipynb +1 -1
  3. run.py +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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- sdk_version: 6.1.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
 
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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+ sdk_version: 6.2.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
run.ipynb CHANGED
@@ -1 +1 @@
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- {"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}
 
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+ {"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 CHANGED
@@ -3,7 +3,7 @@ import gradio as gr
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  with gr.Blocks() as demo:
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  count = gr.Slider(minimum=1, maximum=10, step=1, label="count")
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  data = gr.DataFrame(
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- headers=["A", "B"], col_count=(2, "fixed"), type="array", interactive=True
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  )
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  btn = gr.Button(value="click")
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  btn.click(
 
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  with gr.Blocks() as demo:
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  count = gr.Slider(minimum=1, maximum=10, step=1, label="count")
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  data = gr.DataFrame(
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+ headers=["A", "B"], col_count=(2, "fixed"), type="array", interactive=True # type: ignore
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  )
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  btn = gr.Button(value="click")
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  btn.click(