Add application file

WHOOPS_Explanation_of_Violation_Leaderboard.tsv

@@ -0,0 +1,7 @@
+Model	Human Metric	Auto Metric	Identify (Binary Accuracy)
+Humans	95		92
+Ground-truth Caption _ GPT3 (Oracle)	68	62	74
+BLIP2 FlanT5-XXL (Fine-tuned)	27	24	73
+BLIP2 FlanT5-XL (Fine-tuned)	15	18	60
+Predicted Caption _ GPT3	33	42	59
+BLIP2 FlanT5-XXL (Zero-shot)	0	0	50

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import pandas as pd
+
+df = pd.read_table("WHOOPS_Explanation_of_Violation_Leaderboard.tsv")
+headline = """# WHOOPS Leaderboard
+To submit your results to the leaderboard, please add a "predictions" column to [this csv](https://huggingface.co/datasets/nlphuji/whoops/blob/main/whoops_dataset.csv), and send to [this mail](mailto:yonatanbitton1@gmail.com) or [this mail](mailto:whoops.benchmark@gmail.com,).
+"""
+
+
+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()