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()