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37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
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import gradio as gr
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import requests
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import pandas as pd
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from huggingface_hub.hf_api import SpaceInfo
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path = f"https://huggingface.co/api/spaces"
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def get_blocks_party_spaces():
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r = requests.get(path)
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d = r.json()
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spaces = [SpaceInfo(**x) for x in d]
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blocks_spaces = {}
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for i in range(0,len(spaces)):
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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':
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blocks_spaces[spaces[i].id]=spaces[i].likes
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df = pd.DataFrame(
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[{"Spaces_Name": Spaces, "likes": likes} for Spaces,likes in blocks_spaces.items()])
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df = df.sort_values(by=['likes'],ascending=False)
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return df
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block = gr.Blocks()
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with block:
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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>""")
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with gr.Tabs():
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with gr.TabItem("Blocks Party Leaderboard"):
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with gr.Row():
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data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(get_blocks_party_spaces, inputs=None, outputs=data)
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# running the function on page load in addition to when the button is clicked
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block.load(get_blocks_party_spaces, inputs=None, outputs=data)
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block.launch()
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