|
import gradio as gr |
|
import pandas as pd |
|
|
|
|
|
df = pd.read_table('visitbench_leaderboard_Single~Image_Nov072023.tsv') |
|
|
|
headline = """# VisIT-Bench Leaderboard |
|
|
|
To submit your results to the leaderboard, you can run our auto-evaluation code, following the instructions [here](https://github.com/Hritikbansal/visit_bench_sandbox). Once you are happy with the results, you can 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. Please also attach your predictions: you can add a "predictions" column to [this csv](https://huggingface.co/datasets/mlfoundations/VisIT-Bench/raw/main/test/metadata.csv). |
|
""" |
|
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() |
|
|
