add ranking section

app.py

@@ -2,11 +2,25 @@ 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
 
+is_macos = platform.system() == "Darwin"
 
-@cached(cache=TTLCache(maxsize=100, ttl=60 * 10))
+if is_macos:
+    cache = Cache("cache")
+
+    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)
+
+
+@cached_decorator
 def get_spaces():
-    return list(list_spaces(full=True, limit=None))
+    return list(list_spaces(full=True))
 
 
 get_spaces()  # to warm up the cache
@@ -54,6 +68,7 @@ def relative_rank_for_org(org_id, filter_zero=False):
     org_to_like_dict = create_org_to_like_dict()
     return relative_rank(org_to_like_dict, org_id, filter_zero=filter_zero)
 
+
 @cached(cache=TTLCache(maxsize=100, ttl=60 * 3))
 def rank_space(space_id):
     return relative_rank_for_space(space_id)
@@ -72,6 +87,36 @@ def rank_space_and_org(space_or_org_id, filter_zero):
             with {org_rank['num_higher']:,} orgs/users above and {org_rank['num_lower']:,} orgs/users below in the raking of Space likes"""
 
 
+def get_top_n_orgs_and_users(top_n=100):
+    orgs_to_likes = create_org_to_like_dict()
+    sorted_items = sorted(orgs_to_likes.items(), key=lambda item: item[1], reverse=True)
+    sorted_items = sorted_items[:top_n]
+    return sorted_items
+
+
+def plot_top_n_orgs_and_users(top_n=100):
+    top_n = get_top_n_orgs_and_users(top_n)
+    return "".join(
+        f"\n- [{org}](https://huggingface.co/{org}) with {likes:,} likes"
+        for org, likes in top_n
+    )
+
+
+def get_top_n_spaces(top_n=100):
+    orgs_to_likes = create_space_to_like_dict()
+    sorted_items = sorted(orgs_to_likes.items(), key=lambda item: item[1], reverse=True)
+    sorted_items = sorted_items[:top_n]
+    return sorted_items
+
+
+def plot_top_n_spaces(top_n=100):
+    top_n = get_top_n_spaces(top_n)
+    return "".join(
+        f"\n- [{space}](https://huggingface.co/spaces/{space}) with {likes:,} likes"
+        for space, likes in top_n
+    )
+
+
 with gr.Blocks() as demo:
     gr.HTML("<h1 style='text-align: center;'> &#127942; HuggyRanker &#127942; </h1>")
     gr.HTML(
@@ -81,17 +126,29 @@ with gr.Blocks() as demo:
         """<p style="text-align: center;"><i>Remember likes aren't everything!</i></p>"""
     )
     gr.Markdown(
-    """## Rank Spaces 
-    Provide this app with a Space ID or a Username/Organization name to rank by likes.""")
+        """## Rank Specific Spaces or Orgs
+    Provide this app with a Space ID or a Username/Organization name to rank by likes."""
+    )
     with gr.Row():
-        space_id = gr.Textbox("librarian-bots", max_lines=1, label="Space or user/organization ID")
+        space_id = gr.Textbox(
+            "librarian-bots", max_lines=1, label="Space or user/organization ID"
+        )
         filter_zero = gr.Radio(
             choices=["no", "yes"],
             label="Filter out spaces with 0 likes in the ranking?",
             value="yes",
         )
-    run_btn = gr.Button("Rank Space!", label="Rank Space")
+    run_btn = gr.Button("Show ranking for this Space org org/user!", label="Rank 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")
+    with gr.Row():
+        with gr.Accordion("Show rankings for Orgs and Users", open=False):
+            gr.Markdown("""## 🥇 Top 100 Orgs and Users by Likes 🥇""")
+            ranking_board = gr.Markdown(plot_top_n_orgs_and_users())
+        with gr.Accordion("Show rankings for Spaces", open=False):
+            gr.Markdown("""## 🏅 Top 100 Spaces by Likes 🏅""")
+            ranking_board = gr.Markdown(plot_top_n_spaces())
+
 
 demo.launch()

requirements.in

@@ -1,4 +1,5 @@
 cachetools
 gradio
 huggingface_hub
-toolz
+toolz
+diskcache

requirements.txt

@@ -34,6 +34,8 @@ contourpy==1.1.0
     # via matplotlib
 cycler==0.11.0
     # via matplotlib
+diskcache==5.6.3
+    # via -r requirements.in
 fastapi==0.103.1
     # via gradio
 ffmpy==0.3.1