added fake data and application dependencies

app.py

@@ -1,7 +1,22 @@
 import gradio as gr
+import pandas as pd
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Create a sample dataframe with 10 language models and 57 attributes
+np.random.seed(0)
+data = pd.DataFrame(np.random.rand(10, 57), 
+                    columns=[f'Attribute_{i+1}' for i in range(57)],
+                    index=[f'Model_{i+1}' for i in range(10)])
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Let's consider the first attribute as the main one for sorting the leaderboard
+data = data.sort_values('Attribute_1', ascending=False)
+
+def show_leaderboard():
+    # Convert dataframe to html so that it can be displayed properly in Gradio
+    return data.to_html()
+
+iface = gr.Interface(fn=show_leaderboard, inputs=[], outputs="html")
+
+# Run the interface. 
+# Note: you don't need to use .launch() in Hugging Face Spaces, this is for local testing.
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+pandas
+numpy