zero-gpu-demo / app.py
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suggestion from Pedro
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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' πŸ€”
@spaces.GPU
def run_gpu() -> str:
print(zero.device) # <-- 'cuda:0' πŸ€—
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 πŸ”₯")
output.render()
check = gr.Checkbox(label="Run on GPU")
check.change(run, inputs=[check], outputs=output, every=1)
demo.queue().launch(show_api=False)