gradio/demo/matrix_transpose.py

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2021-05-24 23:31:44 +08:00
import gradio as gr
import numpy as np
def transpose(matrix):
return matrix.T
iface = gr.Interface(
transpose,
gr.inputs.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3),
"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()],
]
)
iface.test_launch()
if __name__ == "__main__":
iface.launch()