leaderboard

app.py

@@ -2,23 +2,24 @@ import gradio as gr
 from huggingface_hub import list_spaces
 from cachetools import TTLCache, cached
 from toolz import groupby, valmap
-from diskcache import Cache
-import platform
+# from diskcache import Cache
+# import platform
 
-is_macos = platform.system() == "Darwin"
+# is_macos = platform.system() == "Darwin"
 
-if is_macos:
-    cache = Cache("cache")
+# if is_macos:
+#     cache = Cache("cache")
 
-    def cached_decorator(func):
-        return cache.memoize(typed=True, expire=1)(func)
+#     def cached_decorator(func):
+#         return cache.memoize(typed=True, expire=1)(func)
 
-else:
-    ttl_cache = TTLCache(maxsize=100, ttl=60 * 10)
-    cached_decorator = cached(cache=ttl_cache)
+# else:
+#     ttl_cache = TTLCache(maxsize=100, ttl=60 * 10)
+#     cached_decorator = cached(cache=ttl_cache)
 
 
-@cached_decorator
+# @cached_decorator
+@cached(cache=TTLCache(maxsize=100, ttl=60 * 10))
 def get_spaces():
     return list(list_spaces(full=True))
 
@@ -139,6 +140,7 @@ with gr.Blocks() as demo:
             value="yes",
         )
     run_btn = gr.Button("Show ranking for this Space org org/user!", label="Rank Space")
+    gr.Markdown("### Ranking for org/user or space")
     result = gr.Markdown()
     run_btn.click(rank_space_and_org, inputs=[space_id, filter_zero], outputs=result)
     gr.Markdown("## Leaderboard of Top 100 Spaces and Orgs/Users by Likes")