File size: 1,185 Bytes
58b2f9d dd667a6 36a8571 dd667a6 58b2f9d dd667a6 58b2f9d cde8e2f 58b2f9d dd667a6 58b2f9d dd667a6 58b2f9d cde8e2f dd667a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | import requests
import gradio as gr
SPACES = {
"Space One": "https://test.hf.space",
"Space Two": "https://hub.hf.space",
"Space Three": "https://Blogger-Toolkit.hf.space",
"Space Four": "https://blogger-source-downloader",
"Space Five": "https://Heavy-Tools",
"Space Six": "https://test.hf.space",
"Space Seven": "https://test.hf.space",
}
def fetch():
rows = []
for name, url in SPACES.items():
try:
r = requests.get(url, timeout=3)
j = r.json()
rows.append([
name,
"🟢 RUNNING",
int(j.get("cpu", 0)),
int(j.get("ram", 0))
])
except:
rows.append([
name,
"⚫ SLEEPING",
0,
0
])
return rows
with gr.Blocks() as demo:
gr.Markdown("## 🚀 Hugging Face Spaces Monitor")
table = gr.Dataframe(
headers=["Space", "Status", "CPU %", "RAM %"],
datatype=["str", "str", "number", "number"],
interactive=False
)
timer = gr.Timer(value=30)
timer.tick(fetch, outputs=table)
demo.launch()
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