| 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) |
| |
| block.load(get_blocks_party_spaces, inputs=None, outputs=data) |
|
|
| block.launch() |
|
|
|
|
