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import psutil |
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import numpy as np |
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import gradio as gr |
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def source_info(*k): |
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cpu_per = psutil.cpu_percent(True, True) |
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cpu_per = round(np.array(cpu_per).mean(), 2) |
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mem = psutil.virtual_memory() |
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cpu_num = psutil.cpu_count(logical=True) |
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mem_total = round(mem.total / 2 ** 32, 2) |
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mem_per = round(mem.percent, 2) |
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disk = [] |
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partitions = psutil.disk_partitions() |
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for i in partitions: |
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info = psutil.disk_usage(i[1]) |
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disk.append([info.total, info.used]) |
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disk = np.array(disk) |
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disk = disk.sum(axis=0) |
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disk_pre = round(disk[1] / disk[0] * 100, 2) |
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disk_total = round(disk[0] / 2 ** 30, 2) |
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return { |
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"cpuζ°ι": f"{cpu_num} | {cpu_per}%", |
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"ε
εζ»ι": f"{mem_total}GB | {mem_per}%", |
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"η£ηζ»ι": f"{disk_total}GB | {disk_pre}%" |
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} |
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( |
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gr.Interface(fn=source_info, inputs="text", outputs=gr.JSON()) |
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.launch() |
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) |
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