example code refactored to make it easier to swap out data source

mmlu_data_to_example.py

@@ -0,0 +1,43 @@
+import gradio as gr
+import requests
+import pandas as pd
+from huggingface_hub.hf_api import SpaceInfo
+
+class BlocksSpace:
+    def __init__(self, url, name):
+        self.url = url
+        self.name = name
+
+    def fetch_spaces(self):
+        r = requests.get(self.url)
+        d = r.json()
+        spaces = [SpaceInfo(**x) for x in d]
+        blocks_spaces = {}
+        for i in range(0,len(spaces)):
+            if spaces[i].id.split('/')[0] == self.name and hasattr(spaces[i], 'likes') and spaces[i].id != f'{self.name}/Leaderboard' and spaces[i].id != f'{self.name}/README':
+                blocks_spaces[spaces[i].id]=spaces[i].likes
+        return blocks_spaces
+
+    def get_spaces_dataframe(self):
+        blocks_spaces = self.fetch_spaces()
+        df = pd.DataFrame(
+            [{"Spaces_Name": Spaces, "likes": likes} for Spaces,likes in blocks_spaces.items()])
+        df = df.sort_values(by=['likes'],ascending=False)
+        return df
+
+block = gr.Blocks()
+my_blocks_space = BlocksSpace("https://huggingface.co/api/spaces", "Gradio-Blocks")
+
+with block:    
+    gr.Markdown("""Leaderboard for the most popular Blocks Event Spaces. To learn more and join, see Blocks Party Event""")
+    with gr.Tabs():
+        with gr.TabItem("Blocks Party Leaderboard"):
+            with gr.Row():
+                data = gr.outputs.Dataframe(type="pandas")
+            with gr.Row():
+                data_run = gr.Button("Refresh")
+                data_run.click(my_blocks_space.get_spaces_dataframe, inputs=None, outputs=data)
+    # running the function on page load in addition to when the button is clicked
+    block.load(my_blocks_space.get_spaces_dataframe, inputs=None, outputs=data)               
+
+block.launch()