freddyaboulton HF Staff commited on
Commit
e5ae434
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1 Parent(s): 454072a

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: 5.20.1
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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: 5.21.0
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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: matrix_transpose"]}, {"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 numpy as np\n", "\n", "import gradio as gr\n", "\n", "def transpose(matrix):\n", " return matrix.T\n", "\n", "demo = gr.Interface(\n", " transpose,\n", " gr.Dataframe(type=\"numpy\", datatype=\"number\", row_count=5, col_count=3, show_fullscreen_button=True),\n", " \"numpy\",\n", " examples=[\n", " [np.zeros((3, 3)).tolist()],\n", " [np.ones((2, 2)).tolist()],\n", " [np.random.randint(0, 10, (3, 10)).tolist()],\n", " [np.random.randint(0, 10, (10, 3)).tolist()],\n", " [np.random.randint(0, 10, (10, 10)).tolist()],\n", " ],\n", " cache_examples=False\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
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+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: matrix_transpose"]}, {"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 numpy as np\n", "\n", "import gradio as gr\n", "\n", "def transpose(matrix):\n", " return matrix.T\n", "\n", "demo = gr.Interface(\n", " transpose,\n", " gr.Dataframe(type=\"numpy\", datatype=\"number\", row_count=5, col_count=3, show_fullscreen_button=True),\n", " \"numpy\",\n", " examples=[\n", " [np.zeros((30, 30)).tolist()],\n", " [np.ones((2, 2)).tolist()],\n", " [np.random.randint(0, 10, (3, 10)).tolist()],\n", " [np.random.randint(0, 10, (10, 3)).tolist()],\n", " [np.random.randint(0, 10, (10, 10)).tolist()],\n", " ],\n", " cache_examples=False\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -10,7 +10,7 @@ demo = gr.Interface(
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  gr.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3, show_fullscreen_button=True),
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  "numpy",
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  examples=[
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- [np.zeros((3, 3)).tolist()],
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  [np.ones((2, 2)).tolist()],
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  [np.random.randint(0, 10, (3, 10)).tolist()],
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  [np.random.randint(0, 10, (10, 3)).tolist()],
 
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  gr.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3, show_fullscreen_button=True),
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  "numpy",
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  examples=[
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+ [np.zeros((30, 30)).tolist()],
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  [np.ones((2, 2)).tolist()],
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  [np.random.randint(0, 10, (3, 10)).tolist()],
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  [np.random.randint(0, 10, (10, 3)).tolist()],