Spaces:
Runtime error
Runtime error
| import os | |
| import requests | |
| import pandas as pd | |
| import gradio as gr | |
| from huggingface_hub.hf_api import SpaceInfo | |
| from pathlib import Path | |
| path = f"https://huggingface.co/api/spaces" | |
| def get_ECCV_spaces(): | |
| r = requests.get(path) | |
| d = r.json() | |
| spaces = [SpaceInfo(**x) for x in d] | |
| spaces = [x for x in spaces if x.id.startswith("ECCV2022") and hasattr(x, 'likes') and x.id != 'ECCV2022/Leaderboard' and x.id != 'ECCV2022/README'] | |
| blocks_spaces = {x.id: x.likes for x in spaces} | |
| 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 ECCV 2022 Spaces. To learn more and join, see <a href="https://huggingface.co/ECCV2022" target="_blank" style="text-decoration: underline">ECCV 2022 Event</a>""") | |
| with gr.Tabs(): | |
| with gr.TabItem("ECCV 2022 Leaderboard"): | |
| with gr.Row(): | |
| data = gr.Dataframe(type="pandas") | |
| with gr.Row(): | |
| data_run = gr.Button("Refresh") | |
| data_run.click(get_ECCV_spaces, inputs=None, outputs=data) | |
| block.load(get_ECCV_spaces, inputs=None, outputs=data) | |
| block.launch() |