import spaces
import datetime
import os
import subprocess
import torch
import gradio as gr

CUSTOM_CSS = """
#output_box textarea {
    font-family: IBM Plex Mono, ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
}
"""

zero = torch.Tensor([0]).cuda()
print(zero.device) # <-- 'cpu' 🤔

@spaces.GPU
def run_gpu() -> str:
    print(zero.device) # <-- 'cuda:0' 🤗
    output: str = ""
    try:
        output = subprocess.check_output(["nvidia-smi"], text=True)
    except FileNotFoundError:
        output = "nvidia-smi failed"
    comment = (
        datetime.datetime.now().replace(microsecond=0).isoformat().replace("T", " ")
    )
    return f"# {comment}\n\n{output}"

def run(check: bool) -> str:
    if check:
        return run_gpu()
    else:
        comment = (
            datetime.datetime.now().replace(microsecond=0).isoformat().replace("T", " ")
        )
        return f"# {comment}\n\nThis is running on CPU\n\nClick on 'Run on GPU' below to move to GPU instantly and run nvidia-smi"

output = gr.Textbox(
    label="Command Output", max_lines=32, elem_id="output_box", value=run(False)
)

with gr.Blocks(css=CUSTOM_CSS) as demo:
    gr.Markdown("#### `zero-gpu`: how to run on serverless GPU for free on Spaces 🔥")

    output.render()

    check = gr.Checkbox(label="Run on GPU")

    check.change(run, inputs=[check], outputs=output, every=1)

demo.queue().launch(show_api=False)