Update

app.py

@@ -9,13 +9,13 @@ path = f"https://huggingface.co/api/spaces"
 
 
     
-def get_blocks_party_spaces():
+def get_hugging_learners_spaces():
     r = requests.get(path)
     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] == 'Gradio-Blocks' and hasattr(spaces[i], 'likes') and spaces[i].id != 'Gradio-Blocks/Leaderboard' and spaces[i].id != 'Gradio-Blocks/README':
+        if spaces[i].id.split('/')[0] == 'hugginglearners' and hasattr(spaces[i], 'likes') and spaces[i].id != 'hugginglearners/Leaderboard' and spaces[i].id != 'hugginglearners/README':
             blocks_spaces[spaces[i].id]=spaces[i].likes
     df = pd.DataFrame(
     [{"Spaces_Name": Spaces, "likes": likes} for Spaces,likes in blocks_spaces.items()])
@@ -26,14 +26,14 @@ def get_blocks_party_spaces():
 block = gr.Blocks()
 
 with block:    
-    gr.Markdown("""Leaderboard for the most popular Blocks Event Spaces. To learn more and join, see <a href="https://huggingface.co/Gradio-Blocks" target="_blank" style="text-decoration: underline">Blocks Party Event</a>""")
+    gr.Markdown("""Leaderboard for the most popular fastai X Hugging Face Group (the Hugging Learners) Spaces. To learn more and join, see <a href="https://huggingface.co/hugginglearners" target="_blank" style="text-decoration: underline"the Hugging Learners Hub organization.</a>""")
     with gr.Tabs():
-        with gr.TabItem("Blocks Party Leaderboard"):
+        with gr.TabItem("Leaderboard of spaces with the most hearts"):
             with gr.Row():
                 data = gr.outputs.Dataframe(type="pandas")
             with gr.Row():
                 data_run = gr.Button("Refresh")
-                data_run.click(get_blocks_party_spaces, inputs=None, outputs=data)
+                data_run.click(get_hugging_learners_spaces, inputs=None, outputs=data)
 
-    block.load(get_blocks_party_spaces, inputs=None, outputs=data)                
+    block.load(get_hugging_learners_spaces, inputs=None, outputs=data)                
 block.launch()