app.py

import streamlit as st
from huggingface_hub import HfApi
import pandas as pd
import asyncio

api = HfApi()

# Default list of Hugging Face usernames
default_users = {
    "users": [
        "awacke1", "rogerxavier", "jonatasgrosman", "kenshinn", "Csplk", "DavidVivancos",
        "cdminix", "Jaward", "TuringsSolutions", "Severian", "Wauplin",
        "phosseini", "Malikeh1375", "gokaygokay", "MoritzLaurer", "mrm8488",
        "TheBloke", "lhoestq", "xw-eric", "Paul", "Muennighoff",
        "ccdv", "haonan-li", "chansung", "lukaemon", "hails",
        "pharmapsychotic", "KingNish", "merve", "ameerazam08", "ashleykleynhans"
    ]
}

async def fetch_user_content(username):
    try:
        models = await asyncio.to_thread(api.list_models, author=username)
        datasets = await asyncio.to_thread(api.list_datasets, author=username)
        spaces = await asyncio.to_thread(api.list_spaces, author=username)
        
        return {
            "username": username,
            "models": models,
            "datasets": datasets,
            "spaces": spaces
        }
    except Exception as e:
        return {"username": username, "error": str(e)}

async def fetch_all_users(usernames):
    tasks = [fetch_user_content(username) for username in usernames]
    return await asyncio.gather(*tasks)

st.title("Hugging Face User Content Display")

# Convert the default users list to a string
default_users_str = "\n".join(default_users["users"])

# Text area with default list of usernames
usernames = st.text_area("Enter Hugging Face usernames (one per line):", value=default_users_str, height=300)

if st.button("Show User Content"):
    if usernames:
        username_list = [username.strip() for username in usernames.split('\n') if username.strip()]

        results = asyncio.run(fetch_all_users(username_list))

        st.markdown("### User Content Overview")
        for result in results:
            username = result["username"]
            if "error" not in result:
                profile_link = f"https://huggingface.co/{username}"
                profile_emoji = "🔗"
                
                models = [f"[{model.modelId}](https://huggingface.co/{model.modelId})" for model in result['models']]
                datasets = [f"[{dataset.id}](https://huggingface.co/datasets/{dataset.id})" for dataset in result['datasets']]
                spaces = [f"[{space.id}](https://huggingface.co/spaces/{space.id})" for space in result['spaces']]

                st.markdown(f"**{username}** {profile_emoji} [Profile]({profile_link})")
                st.markdown("**Models:**")
                st.markdown("\n".join(models) if models else "No models found")
                st.markdown("**Datasets:**")
                st.markdown("\n".join(datasets) if datasets else "No datasets found")
                st.markdown("**Spaces:**")
                st.markdown("\n".join(spaces) if spaces else "No spaces found")
                st.markdown("---")
            else:
                st.warning(f"{username}: {result['error']}")

    else:
        st.warning("Please enter at least one username.")

st.sidebar.markdown("""
## How to use:
1. The text area is pre-filled with a list of Hugging Face usernames. You can edit this list or add more usernames.
2. Click 'Show User Content'.
3. View the user's models, datasets, and spaces along with a link to their Hugging Face profile.
""")