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5dac6c6
1
Parent(s):
1347af3
Update app.py
Browse files
app.py
CHANGED
@@ -216,6 +216,7 @@ def update_leaderboard_dataset(rl_env, path):
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def download_leaderboard_dataset():
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path = snapshot_download(repo_id=DATASET_REPO_ID, repo_type="dataset")
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return path
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def get_data(rl_env, path) -> pd.DataFrame:
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@@ -333,6 +334,7 @@ with block:
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env = gr.Variable(rl_env["rl_env"])
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grpath = gr.Variable(path_)
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with gr.Row():
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gr_dataframe = gr.components.Dataframe(value=get_data(rl_env["rl_env"], path_), headers=["Ranking π", "User π€", "Model id π€", "Results", "Mean Reward", "Std Reward"], datatype=["number", "markdown", "markdown", "number", "number", "number"], row_count=(100, 'fixed'))
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with gr.Row():
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@@ -349,6 +351,14 @@ scheduler.add_job(func=run_update_dataset, trigger="interval", seconds=3600)
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scheduler.add_job(download_leaderboard_dataset, 'interval', seconds=3600)
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scheduler.start()
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block.launch()
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def download_leaderboard_dataset():
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path = snapshot_download(repo_id=DATASET_REPO_ID, repo_type="dataset")
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print("PATH DOWNLOAD", path)
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return path
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def get_data(rl_env, path) -> pd.DataFrame:
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env = gr.Variable(rl_env["rl_env"])
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grpath = gr.Variable(path_)
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with gr.Row():
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print("PATH USED", path_)
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gr_dataframe = gr.components.Dataframe(value=get_data(rl_env["rl_env"], path_), headers=["Ranking π", "User π€", "Model id π€", "Results", "Mean Reward", "Std Reward"], datatype=["number", "markdown", "markdown", "number", "number", "number"], row_count=(100, 'fixed'))
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with gr.Row():
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scheduler.add_job(download_leaderboard_dataset, 'interval', seconds=3600)
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scheduler.start()
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block.load(
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download_leaderboard_dataset,
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inputs=[],
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outputs=[
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path_
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],
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)
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block.launch()
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