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from src.display.utils import EVAL_COLS, EVAL_TYPES | |
from src.envs import EVAL_REQUESTS_PATH | |
from src.populate import get_evaluation_queue_df | |
from src.submission.submit import add_new_eval | |
import gradio as gr | |
def show_submit_page(index: int): | |
( | |
finished_eval_queue_df, | |
running_eval_queue_df, | |
pending_eval_queue_df, | |
) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS) | |
with gr.TabItem("π Submit! ", elem_id="llm-benchmark-tab-table", id=index): | |
with gr.Column(): | |
with gr.Accordion( | |
f"β Finished Evaluations ({len(finished_eval_queue_df)})", | |
open=False, | |
): | |
with gr.Row(): | |
finished_eval_table = gr.components.Dataframe( | |
value=finished_eval_queue_df, | |
headers=EVAL_COLS, | |
datatype=EVAL_TYPES, | |
row_count=5, | |
) | |
with gr.Accordion( | |
f"β³ Pending Evaluation Queue ({len(pending_eval_queue_df)})", | |
open=False, | |
): | |
with gr.Row(): | |
pending_eval_table = gr.components.Dataframe( | |
value=pending_eval_queue_df, | |
headers=EVAL_COLS, | |
datatype=EVAL_TYPES, | |
row_count=5, | |
) | |
with gr.Row(): | |
gr.Markdown("# βοΈβ¨ Submit your model!", elem_classes="markdown-text") | |
with gr.Row(): | |
with gr.Column(): | |
model_name_textbox = gr.Textbox(label="Huggingface Model") | |
link_to_model_blog = gr.Textbox(label="Model release blog / Technical report") | |
submit_button = gr.Button("Submit Model") | |
submission_result = gr.Markdown() | |
submit_button.click( | |
add_new_eval, | |
[ | |
model_name_textbox, | |
link_to_model_blog | |
], | |
submission_result, | |
) | |
with gr.Row(): | |
gr.Markdown('# βοΈβ¨ Submit your task <a href="https://github.com">here!</a>', elem_classes="markdown-text") | |