| import gradio as gr |
| from botorch.test_functions.synthetic import Hartmann |
| from torch import Tensor |
|
|
|
|
| def hartmann(x1, x2, x3, x4): |
| x_tensor = Tensor((x1, x2, x3, x4)) |
| hartmann_function = Hartmann(dim=4) |
| y = hartmann_function(x_tensor) |
|
|
| return float(y) |
|
|
|
|
| iface = gr.Interface( |
| fn=hartmann, |
| inputs=[ |
| gr.Number(0.33, label="x1", minimum=0.0, maximum=1.0), |
| gr.Number(0.33, label="x2", minimum=0.0, maximum=1.0), |
| gr.Number(0.33, label="x3", minimum=0.0, maximum=1.0), |
| gr.Number(0.33, label="x4", minimum=0.0, maximum=1.0), |
| ], |
| outputs=gr.Number( |
| hartmann(0.33, 0.33, 0.33, 0.33), label="Hartmann function value" |
| ), |
| ) |
| iface.launch() |
|
|
