Create app.py

app.py

@@ -0,0 +1,88 @@
+import pandas as pd
+import gradio as gr
+
+df = pd.DataFrame(
+    {
+        "A": [14, 4, 5, 4, 1],
+        "B": [5, 2, 54, 3, 2],
+        "C": [20, 20, 7, 3, 8],
+        "D": [14, 3, 6, 2, 6],
+        "E": [23, 45, 64, 32, 23],
+    }
+)
+
+t = df.style.highlight_max(color="lightgreen", axis=0)
+
+models = ["OpenAI GPT-3", "GPT-2", "Bert", "GPT-3", "T5"]
+orgs = ["OpenAI", "Anthropic", "Google", "Mistral", "Microsoft"]
+licenses = [
+    "OpenAI License",
+    "Apache License",
+    "Proprietary",
+    "Llama License",
+    "MIT License",
+    "CC-BY-NC",
+]
+# function ot get random number between a range
+import random
+
+
+def get_random_number(min_value, max_value):
+    """Get a random number between min_value and max_value."""
+    return random.randint(min_value, max_value)
+
+
+table_vals = [
+    [
+        i + 1,
+        f"[{models[get_random_number(0, 4)]}](https://www.google.com)",
+        get_random_number(2000, 3000),
+        f"+{get_random_number(1, 10)} / -{get_random_number(1, 10)}",
+        get_random_number(3000, 20000),
+        orgs[get_random_number(0, 4)],
+        licenses[get_random_number(0, 5)],
+    ]
+    for i in range(60)
+]
+
+
+with gr.Blocks() as demo:
+    with gr.Tab():
+        gr.Dataframe(
+            headers=["A", "B", "C", "D", "E"],
+            datatype=["number", "number", "number", "number", "number"],
+            value=df,
+            elem_id="dataframe",
+            height=700,
+            column_widths=[100, 100, 100, 100, 100],
+            wrap=True,
+        )
+    with gr.Tab():
+        gr.Dataframe(
+            headers=[
+                "Rank",
+                "🤖 Model",
+                "⭐ Arena Elo",
+                "📊 95% CI",
+                "🗳️ Votes",
+                "Organization",
+                "License",
+            ],
+            datatype=[
+                "str",
+                "markdown",
+                "number",
+                "str",
+                "number",
+                "str",
+                "str",
+            ],
+            value=table_vals,
+            elem_id="arena_leaderboard_dataframe",
+            height=700,
+            column_widths=[50, 200, 100, 100, 100, 150, 150],
+            wrap=True,
+        )
+
+if __name__ == "__main__":
+    demo.launch()