Update app.py

app.py

@@ -1,35 +1,12 @@
-# import gradio as gr
-# import pandas as pd
-
-# df = pd.read_csv('FuseReviews_leaderboard.csv')
-
-# headline = """# FuseReviews Leaderboard
-
-# 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).
-# 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", "number", "number", "number"]
-#         )
-
-# demo.launch()
-
 import gradio as gr
 import pandas as pd
 
-# df = pd.read_table("visit_bench_leaderboard.tsv")
-df = pd.read_table('visitbench_leaderboard_Single~Image_Nov072023.tsv')
+df = pd.read_csv('FuseReviews_leaderboard.csv')
 
-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).
+headline = """# FuseReviews Leaderboard
+
+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).
+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:
@@ -39,8 +16,7 @@ with demo:
     with gr.Column():
         leaderboard_df = gr.components.DataFrame(
             value=df,
-            datatype=["markdown", "markdown", "number", "number", "number"]
+            datatype=["markdown", "number", "number", "number"]
         )
 
-demo.launch()
-
+demo.launch()