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Parent(s):
9235353
Restart space every 6 hours as workaround, refactor garbage remover, add apscheduler as new deps (#19)
Browse files- Restart space every 6 hours as workaround, refactor garbage remover, add apscheduler as new deps (a29b88f42355fb1e08c203a0466c9ef68792313d)
Co-authored-by: Djuunaa <djuna@users.noreply.huggingface.co>
app.py
CHANGED
@@ -15,6 +15,8 @@ from gradio_logsview.logsview import Log, LogsView, LogsViewRunner
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from mergekit.config import MergeConfiguration
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from clean_community_org import garbage_collect_empty_models
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has_gpu = torch.cuda.is_available()
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@@ -186,10 +188,29 @@ def merge(yaml_config: str, hf_token: str, repo_name: str) -> Iterable[List[Log]
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)
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yield runner.log(f"Model successfully uploaded to HF: {repo_url.repo_id}")
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with gr.Blocks() as demo:
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gr.Markdown(MARKDOWN_DESCRIPTION)
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with gr.Row():
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filename = gr.Textbox(visible=False, label="filename")
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config = gr.Code(language="yaml", lines=10, label="config.yaml")
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@@ -221,18 +242,5 @@ with gr.Blocks() as demo:
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button.click(fn=merge, inputs=[config, token, repo_name], outputs=[logs])
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# Run garbage collection every hour to keep the community org clean.
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# Empty models might exists if the merge fails abruptly (e.g. if user leaves the Space).
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def _garbage_collect_every_hour():
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while True:
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try:
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garbage_collect_empty_models(token=COMMUNITY_HF_TOKEN)
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except Exception as e:
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print("Error running garbage collection", e)
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time.sleep(3600)
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pool = ThreadPoolExecutor()
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pool.submit(_garbage_collect_every_hour)
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demo.queue(default_concurrency_limit=1).launch()
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from mergekit.config import MergeConfiguration
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from clean_community_org import garbage_collect_empty_models
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from apscheduler.schedulers.background import BackgroundScheduler
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from datetime import datetime, timezone
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has_gpu = torch.cuda.is_available()
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)
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yield runner.log(f"Model successfully uploaded to HF: {repo_url.repo_id}")
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# This is workaround. As the space always getting stuck.
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def _restart_space():
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huggingface_hub.HfApi().restart_space(repo_id="arcee-ai/mergekit-gui", token=COMMUNITY_HF_TOKEN, factory_reboot=False)
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# Run garbage collection every hour to keep the community org clean.
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# Empty models might exists if the merge fails abruptly (e.g. if user leaves the Space).
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def _garbage_remover():
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try:
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garbage_collect_empty_models(token=COMMUNITY_HF_TOKEN)
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except Exception as e:
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print("Error running garbage collection", e)
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scheduler = BackgroundScheduler()
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restart_space_job = scheduler.add_job(_restart_space, "interval", seconds=21600)
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garbage_remover_job = scheduler.add_job(_garbage_remover, "interval", seconds=3600)
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scheduler.start()
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next_run_time_utc = restart_space_job.next_run_time.astimezone(timezone.utc)
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NEXT_RESTART = f"Next Restart: {next_run_time_utc.strftime('%Y-%m-%d %H:%M:%S')} (UTC)"
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with gr.Blocks() as demo:
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gr.Markdown(MARKDOWN_DESCRIPTION)
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gr.Markdown(NEXT_RESTART)
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with gr.Row():
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filename = gr.Textbox(visible=False, label="filename")
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config = gr.Code(language="yaml", lines=10, label="config.yaml")
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button.click(fn=merge, inputs=[config, token, repo_name], outputs=[logs])
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demo.queue(default_concurrency_limit=1).launch()
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