import svetoviz_webgpu as sv

# 1. Prepare 2D image data
input_tensor = torch.from_numpy(img_np).permute(2, 0, 1).unsqueeze(0)

# 2. Define InstanceNorm2d
in2d = nn.InstanceNorm2d(num_features=3)

def terminal_callback(buffer, message, images, files):
    output = in2d(input_tensor)

    buffer.send_system_message(f"Resolution: {input_tensor.shape[2:]}")
    buffer.send_system_message("Status: Contrast normalized per image channel.")
    buffer.send_system_message("Application: Common in real-time artistic style transfer.")

# 3. Start the interactive session
sv.pytorch_web(module=in2d, terminal_callback=terminal_callback)