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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.
""")
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