lovodkin93 commited on
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e0b0cd2
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1 Parent(s): ee960b2

Update app.py

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Files changed (1) hide show
  1. app.py +30 -6
app.py CHANGED
@@ -1,12 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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  import pandas as pd
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- df = pd.read_csv('FuseReviews_leaderboard.csv')
 
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- headline = """# FuseReviews Leaderboard
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-
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- When submitting your results to the leaderboard, please make sure it is in a csv file with a single column "predictions". Make sure the predictions align to the testset order. Please send your predictions to [this mail](mailto:lovodkin93@gmail.com).
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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.
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  """
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  demo = gr.Blocks()
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  with demo:
@@ -16,7 +39,8 @@ with demo:
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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", "number", "number", "number"]
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  )
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  demo.launch()
 
 
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+ # import gradio as gr
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+ # import pandas as pd
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+
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+ # df = pd.read_csv('FuseReviews_leaderboard.csv')
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+
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+ # headline = """# FuseReviews Leaderboard
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+
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+ # When submitting your results to the leaderboard, please make sure it is in a csv file with a single column "predictions". Make sure the predictions align to the testset order. Please send your predictions to [this mail](mailto:lovodkin93@gmail.com).
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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.
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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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+
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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", "number", "number", "number"]
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+ # )
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+
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+ # demo.launch()
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+
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  import gradio as gr
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  import pandas as pd
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+ # df = pd.read_table("visit_bench_leaderboard.tsv")
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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:yonatanbitton1@gmail.com).
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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.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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+