draft

app.py

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+import gradio as gr
+from huggingface_hub import list_spaces
+from cachetools import TTLCache, cached
+from toolz import groupby, valmap
+
+
+@cached(cache=TTLCache(maxsize=100, ttl=60 * 10))
+def get_spaces():
+    return list(iter(list_spaces(full=True, limit=None)))
+
+
+get_spaces()  # to warm up the cache
+
+
+def create_space_to_like_dict():
+    spaces = get_spaces()
+    return {space.id: space.likes for space in spaces}
+
+
+def create_org_to_like_dict():
+    spaces = get_spaces()
+    grouped = groupby(lambda x: x.author, spaces)
+    return valmap(lambda x: sum(s.likes for s in x), grouped)
+
+
+def relative_rank(my_dict, target_key, filter_zero=False):
+    if filter_zero:
+        my_dict = {k: v for k, v in my_dict.items() if v != 0}
+
+    if target_key not in my_dict:
+        raise ValueError(
+            f"'{target_key}' not found in the dictionary or its value is 0."
+        )
+
+    sorted_items = sorted(my_dict.items(), key=lambda item: item[1], reverse=True)
+
+    position = [key for key, _ in sorted_items].index(target_key)
+
+    return (position + 1) / len(my_dict) * 100
+
+
+def relative_rank_for_space(space_id, filter_zero=False):
+    space_to_like_dict = create_space_to_like_dict()
+    return relative_rank(space_to_like_dict, space_id, filter_zero=filter_zero)
+
+
+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)
+
+
+def rank_space(space_id):
+    return relative_rank_for_space(space_id)
+
+
+def rank_space_and_org(space_or_org_id, filter_zero):
+    filter_zero = filter_zero == "yes"
+    split = space_or_org_id.split("/")
+    if len(split) == 2:
+        space_rank = relative_rank_for_space(space_or_org_id, filter_zero=filter_zero)
+        return f"Space {space_or_org_id} is ranked {space_rank:.2f}%"
+    if len(split) == 1:
+        org_rank = relative_rank_for_org(space_or_org_id, filter_zero=filter_zero)
+        return f"Organization {space_or_org_id} is ranked {org_rank:.2f}%"
+
+
+with gr.Blocks() as demo:
+    gr.HTML("<h1 style='text-align: center;'> &#127942; HuggyRanker &#127942; </h1>")
+    gr.HTML(
+        """<p style='text-align: center;'>Rank a single Space or all of the Spaces created by an organization or user by likes</p>"""
+    )
+    gr.HTML(
+        """<p style="text-align: center;"><i>Remember likes aren't everything!</i></p></div>"""
+    )
+    gr.Markdown(
+        """## Rank Spaces
+    Provide this app with a Space ID or a Username/Organization name to rank by likes."""
+    )
+    with gr.Row():
+        space_id = gr.Textbox(max_lines=1, label="Space ID")
+        filter_zero = gr.Radio(
+            choices=["yes", "no"],
+            label="Filter out spaces with 0 likes in the ranking?",
+            value="yes",
+        )
+    run_btn = gr.Button("Rank Space!", label="Rank Space")
+    result = gr.Markdown()
+    run_btn.click(rank_space_and_org, inputs=[space_id, filter_zero], outputs=result)
+
+demo.launch()

requirements.in

@@ -0,0 +1,4 @@
+cachetools
+gradio
+huggingface_hub
+toolz

requirements.txt

@@ -0,0 +1,184 @@
+#
+# This file is autogenerated by pip-compile with Python 3.11
+# by the following command:
+#
+#    pip-compile requirements.in
+#
+aiofiles==23.2.1
+    # via gradio
+altair==5.1.1
+    # via gradio
+annotated-types==0.5.0
+    # via pydantic
+anyio==3.7.1
+    # via
+    #   fastapi
+    #   httpcore
+    #   starlette
+attrs==23.1.0
+    # via
+    #   jsonschema
+    #   referencing
+cachetools==5.3.1
+    # via -r requirements.in
+certifi==2023.7.22
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+charset-normalizer==3.2.0
+    # via requests
+click==8.1.7
+    # via uvicorn
+contourpy==1.1.0
+    # via matplotlib
+cycler==0.11.0
+    # via matplotlib
+fastapi==0.103.1
+    # via gradio
+ffmpy==0.3.1
+    # via gradio
+filelock==3.12.3
+    # via huggingface-hub
+fonttools==4.42.1
+    # via matplotlib
+fsspec==2023.9.0
+    # via
+    #   gradio-client
+    #   huggingface-hub
+gradio==3.44.0
+    # via -r requirements.in
+gradio-client==0.5.0
+    # via gradio
+h11==0.14.0
+    # via
+    #   httpcore
+    #   uvicorn
+httpcore==0.18.0
+    # via httpx
+httpx==0.25.0
+    # via
+    #   gradio
+    #   gradio-client
+huggingface-hub==0.17.1
+    # via
+    #   -r requirements.in
+    #   gradio
+    #   gradio-client
+idna==3.4
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+importlib-resources==6.0.1
+    # via gradio
+jinja2==3.1.2
+    # via
+    #   altair
+    #   gradio
+jsonschema==4.19.0
+    # via altair
+jsonschema-specifications==2023.7.1
+    # via jsonschema
+kiwisolver==1.4.5
+    # via matplotlib
+markupsafe==2.1.3
+    # via
+    #   gradio
+    #   jinja2
+matplotlib==3.7.3
+    # via gradio
+numpy==1.25.2
+    # via
+    #   altair
+    #   contourpy
+    #   gradio
+    #   matplotlib
+    #   pandas
+orjson==3.9.7
+    # via gradio
+packaging==23.1
+    # via
+    #   altair
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   matplotlib
+pandas==2.1.0
+    # via
+    #   altair
+    #   gradio
+pillow==10.0.0
+    # via
+    #   gradio
+    #   matplotlib
+pydantic==2.3.0
+    # via
+    #   fastapi
+    #   gradio
+pydantic-core==2.6.3
+    # via pydantic
+pydub==0.25.1
+    # via gradio
+pyparsing==3.1.1
+    # via matplotlib
+python-dateutil==2.8.2
+    # via
+    #   matplotlib
+    #   pandas
+python-multipart==0.0.6
+    # via gradio
+pytz==2023.3.post1
+    # via pandas
+pyyaml==6.0.1
+    # via
+    #   gradio
+    #   huggingface-hub
+referencing==0.30.2
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+requests==2.31.0
+    # via
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+rpds-py==0.10.2
+    # via
+    #   jsonschema
+    #   referencing
+semantic-version==2.10.0
+    # via gradio
+six==1.16.0
+    # via python-dateutil
+sniffio==1.3.0
+    # via
+    #   anyio
+    #   httpcore
+    #   httpx
+starlette==0.27.0
+    # via fastapi
+toolz==0.12.0
+    # via
+    #   -r requirements.in
+    #   altair
+tqdm==4.66.1
+    # via huggingface-hub
+typing-extensions==4.7.1
+    # via
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   pydantic
+    #   pydantic-core
+tzdata==2023.3
+    # via pandas
+urllib3==2.0.4
+    # via requests
+uvicorn==0.23.2
+    # via gradio
+websockets==11.0.3
+    # via
+    #   gradio
+    #   gradio-client