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import gradio as gr | |
import pandas as pd | |
# df = pd.read_table("visit_bench_leaderboard.tsv") | |
df = pd.read_table('visitbench_leaderboard_Single~Image_Oct282023.tsv') | |
headline = """# VisIT-Bench Leaderboard | |
To submit your results to the leaderboard, please add a "predictions" column to [this csv](https://huggingface.co/datasets/mlfoundations/VisIT-Bench/blob/main/visit_bench_single_image.csv), and send to [this mail](mailto:yonatanbitton1@gmail.com). | |
Please include in your email 1) a name for your model, 2) your team name (including your affiliation), and optionally, 3) a github repo or paper link. | |
""" | |
demo = gr.Blocks() | |
with demo: | |
with gr.Row(): | |
gr.Markdown(headline) | |
with gr.Column(): | |
leaderboard_df = gr.components.DataFrame( | |
value=df, | |
datatype=["markdown", "markdown", "number", "number", "number"] | |
) | |
demo.launch() | |