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CPU Upgrade
eduagarcia
commited on
Commit
•
ebb5810
1
Parent(s):
ff9ccb0
Add FAILED evaluations dropdown
Browse files- app.py +14 -2
- src/populate.py +3 -1
app.py
CHANGED
@@ -90,11 +90,12 @@ def init_space():
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finished_eval_queue_df,
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running_eval_queue_df,
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pending_eval_queue_df,
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) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
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return leaderboard_df, original_df, plot_df, finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df
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leaderboard_df, original_df, plot_df, finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df = init_space()
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# Searching and filtering
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@@ -403,6 +404,17 @@ with demo:
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datatype=EVAL_TYPES,
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row_count=5,
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)
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with gr.Row():
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gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
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finished_eval_queue_df,
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running_eval_queue_df,
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pending_eval_queue_df,
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failed_eval_queue_df
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) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
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return leaderboard_df, original_df, plot_df, finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df, failed_eval_queue_df
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leaderboard_df, original_df, plot_df, finished_eval_queue_df, running_eval_queue_df, pending_eval_queue_df, failed_eval_queue_df = init_space()
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# Searching and filtering
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datatype=EVAL_TYPES,
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row_count=5,
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)
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with gr.Accordion(
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f"❌ Failed Evaluations ({len(failed_eval_queue_df)})",
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open=False,
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):
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with gr.Row():
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failed_eval_table = gr.components.Dataframe(
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value=failed_eval_queue_df,
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headers=EVAL_COLS,
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datatype=EVAL_TYPES,
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row_count=5,
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)
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with gr.Row():
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gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
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src/populate.py
CHANGED
@@ -54,7 +54,9 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
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pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
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running_list = [e for e in all_evals if e["status"] == "RUNNING"]
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finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
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df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
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df_running = pd.DataFrame.from_records(running_list, columns=cols)
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df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
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-
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pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
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running_list = [e for e in all_evals if e["status"] == "RUNNING"]
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finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
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failed_list = [e for e in all_evals if e["status"] == "FAILED"]
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df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
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df_running = pd.DataFrame.from_records(running_list, columns=cols)
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df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
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df_failed = pd.DataFrame.from_records(failed_list, columns=cols)
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return df_finished[cols], df_running[cols], df_pending[cols], df_failed[cols]
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