gradio/demo/matrix_transpose/run.py

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import numpy as np
import gradio as gr
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def transpose(matrix):
return matrix.T
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demo = gr.Interface(
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transpose,
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gr.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3),
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"numpy",
examples=[
[np.zeros((3, 3)).tolist()],
[np.ones((2, 2)).tolist()],
[np.random.randint(0, 10, (3, 10)).tolist()],
[np.random.randint(0, 10, (10, 3)).tolist()],
[np.random.randint(0, 10, (10, 10)).tolist()],
],
cache_examples=False
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)
if __name__ == "__main__":
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demo.launch()