app.py

from huggingface_hub import HfApi, ModelFilter
from collections import defaultdict
import pandas as pd
import gradio as gr

api = HfApi()

filter = ModelFilter(library="diffusers")

models = api.list_models(filter=filter)

downloads = defaultdict(int)

for model in models:
    is_counted = False
    for tag in model.tags:
        if tag.startswith("diffusers:"):
            is_counted = True
            downloads[tag[len("diffusers:"):]] += model.downloads

    if not is_counted:
        downloads["other"] += model.downloads

# Remove 0 downloads
downloads = {k: v for k,v in downloads.items() if v > 0}
# Sort the dictionary by keys
sorted_dict = dict(sorted(downloads.items(), key=lambda item: item[1], reverse=True))

# Convert the sorted dictionary to a DataFrame
df = pd.DataFrame(list(sorted_dict.items()), columns=['Pipeline class', 'Downloads'])

with gr.Blocks() as demo:
    gr.DataFrame(df)

demo.launch()