Upload with huggingface_hub

DESCRIPTION.md

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+A simple dashboard ranking spaces by number of likes.

README.md

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+
 ---
-title: Leaderboard Main
-emoji: 🏃
+title: leaderboard_main 
+emoji: 🔥
 colorFrom: indigo
-colorTo: pink
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

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+https://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

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+import gradio as gr
+import requests
+import pandas as pd
+from huggingface_hub.hf_api import SpaceInfo
+path = f"https://huggingface.co/api/spaces"
+
+
+def get_blocks_party_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':
+            blocks_spaces[spaces[i].id]=spaces[i].likes
+    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()
+
+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>""")
+    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(get_blocks_party_spaces, inputs=None, outputs=data)
+    # running the function on page load in addition to when the button is clicked
+    block.load(get_blocks_party_spaces, inputs=None, outputs=data)               
+
+block.launch()
+