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from src.display.utils import EVAL_COLS, EVAL_TYPES |
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from src.envs import EVAL_REQUESTS_PATH |
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from src.populate import get_evaluation_queue_df |
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from src.about import EVALUATION_QUEUE_TEXT |
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from src.submission.submit import add_new_eval |
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import gradio as gr |
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def show_submit_page(index: int): |
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( |
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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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with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=index): |
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with gr.Column(): |
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with gr.Row(): |
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gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text") |
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with gr.Column(): |
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with gr.Accordion( |
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f"✅ Finished Evaluations ({len(finished_eval_queue_df)})", |
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open=False, |
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): |
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with gr.Row(): |
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finished_eval_table = gr.components.Dataframe( |
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value=finished_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.Accordion( |
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f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})", |
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open=False, |
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): |
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with gr.Row(): |
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pending_eval_table = gr.components.Dataframe( |
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value=pending_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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with gr.Row(): |
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with gr.Column(): |
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model_name_textbox = gr.Textbox(label="Model name") |
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submit_button = gr.Button("Submit Eval") |
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submission_result = gr.Markdown() |
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submit_button.click( |
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add_new_eval, |
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[ |
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model_name_textbox, |
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], |
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submission_result, |
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) |
