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Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -3,9 +3,8 @@ import logging
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import time
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import gradio as gr
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import datasets
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from huggingface_hub import snapshot_download, WebhooksServer, WebhookPayload
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from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
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from gradio_space_ci import enable_space_ci
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from src.display.about import (
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CITATION_BUTTON_LABEL,
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@@ -44,8 +43,7 @@ from src.tools.plots import create_metric_plot_obj, create_plot_df, create_score
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# Configure logging
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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enable_space_ci()
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def restart_space():
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@@ -292,10 +290,41 @@ with demo:
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demo.queue(default_concurrency_limit=40)
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#
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async def update_leaderboard(payload: WebhookPayload) -> None:
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if payload.repo.type == "dataset" and payload.event.action == "update":
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leaderboard_dataset = datasets.load_dataset(AGGREGATED_REPO, "default", split="train", cache_dir=HF_HOME)
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@@ -306,7 +335,7 @@ async def update_leaderboard(payload: WebhookPayload) -> None:
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)
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leaderboard.value = leaderboard_df
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@
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async def update_queue(payload: WebhookPayload) -> None:
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if payload.repo.type == "dataset" and payload.event.action == "update":
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download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
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@@ -317,5 +346,4 @@ async def update_queue(payload: WebhookPayload) -> None:
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running_eval_table.value = running_eval_queue_df
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pending_eval_table.value = pending_eval_queue_df
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app.launch()
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import time
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import gradio as gr
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import datasets
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from huggingface_hub import snapshot_download, WebhooksServer, WebhookPayload, RepoCard
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from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
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from src.display.about import (
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CITATION_BUTTON_LABEL,
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# Configure logging
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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def restart_space():
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demo.queue(default_concurrency_limit=40)
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# Start ephemeral Spaces on PRs (see config in README.md)
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from gradio_space_ci.webhook import IS_EPHEMERAL_SPACE, SPACE_ID, configure_space_ci
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def enable_space_ci_and_return_server(ui: gr.Blocks) -> WebhooksServer:
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# Taken from https://huggingface.co/spaces/Wauplin/gradio-space-ci/blob/075119aee75ab5e7150bf0814eec91c83482e790/src/gradio_space_ci/webhook.py#L61
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# Compared to original, this one do not monkeypatch Gradio which allows us to define more webhooks.
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if SPACE_ID is None:
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print("Not in a Space: Space CI disabled.")
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return WebhooksServer(ui=demo)
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if IS_EPHEMERAL_SPACE:
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print("In an ephemeral Space: Space CI disabled.")
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return WebhooksServer(ui=demo)
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card = RepoCard.load(repo_id_or_path=SPACE_ID, repo_type="space")
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config = card.data.get("space_ci", {})
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print(f"Enabling Space CI with config from README: {config}")
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return configure_space_ci(
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blocks=self,
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trusted_authors=config.get("trusted_authors"),
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private=config.get("private", "auto"),
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variables=config.get("variables", "auto"),
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secrets=config.get("secrets"),
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hardware=config.get("hardware"),
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storage=config.get("storage"),
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)
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# Create webhooks server (with CI url if in Space and not ephemeral)
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webhooks_server = enable_space_ci_and_return_server(ui=demo)
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# Add webhooks
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@webhooks_server.add_webhook
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async def update_leaderboard(payload: WebhookPayload) -> None:
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if payload.repo.type == "dataset" and payload.event.action == "update":
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leaderboard_dataset = datasets.load_dataset(AGGREGATED_REPO, "default", split="train", cache_dir=HF_HOME)
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)
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leaderboard.value = leaderboard_df
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@webhooks_server.add_webhook
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async def update_queue(payload: WebhookPayload) -> None:
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if payload.repo.type == "dataset" and payload.event.action == "update":
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download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
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running_eval_table.value = running_eval_queue_df
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pending_eval_table.value = pending_eval_queue_df
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app.launch()
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