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import gradio as gr |
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import pandas as pd |
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df = pd.read_table('visitbench_leaderboard_Single~Image_Nov072023.tsv') |
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headline = """# VisIT-Bench Leaderboard |
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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:[email protected]). |
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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). |
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""" |
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demo = gr.Blocks() |
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with demo: |
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with gr.Row(): |
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gr.Markdown(headline) |
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with gr.Column(): |
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leaderboard_df = gr.components.DataFrame( |
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value=df, |
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datatype=["markdown", "markdown", "number", "number", "number"] |
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) |
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demo.launch() |
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