Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,7 @@ 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,
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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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@@ -290,26 +290,32 @@ with demo:
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show_copy_button=True,
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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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leaderboard_df = get_leaderboard_df(
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leaderboard_dataset=leaderboard_dataset,
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cols=COLS,
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benchmark_cols=BENCHMARK_COLS,
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)
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leaderboard.value = leaderboard_df
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finished_eval_table.value = finished_eval_queue_df
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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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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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show_copy_button=True,
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)
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demo.queue(default_concurrency_limit=40)
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# Add webhooks
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app = WebhooksServer(ui=demo)
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@app.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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leaderboard_df = get_leaderboard_df(
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leaderboard_dataset=leaderboard_dataset,
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cols=COLS,
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benchmark_cols=BENCHMARK_COLS,
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)
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leaderboard.value = leaderboard_df
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@app.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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eval_queue_dfs = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
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finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df = eval_queue_dfs
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finished_eval_table.value = finished_eval_queue_df
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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(share=True)
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