Update app.py
Browse files
app.py
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@@ -1,6 +1,5 @@
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import streamlit as st
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from huggingface_hub import HfApi
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import pandas as pd
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import asyncio
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import os
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@@ -45,6 +44,11 @@ async def fetch_all_users(usernames):
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tasks = [fetch_user_content(username) for username in usernames]
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return await asyncio.gather(*tasks)
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# Generate HTML content for a user and save it to a file - because who doesn't love a good download link? 💾
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def generate_html_page(username, models, datasets):
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html_content = f"""
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@@ -84,11 +88,6 @@ def generate_html_page(username, models, datasets):
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return html_file_path
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# Cache the HTML generation process using Streamlit's caching decorator - because no one likes to repeat themselves! 🔁
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@st.cache_data(show_spinner=False)
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def get_cached_html_page(username, models, datasets):
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return generate_html_page(username, models, datasets)
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# Streamlit app setup - the nerve center of our operation! 🎛️
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st.title("Hugging Face User Content Display - Let's Automate Some Fun! 🎉")
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import streamlit as st
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from huggingface_hub import HfApi
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import asyncio
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import os
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tasks = [fetch_user_content(username) for username in usernames]
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return await asyncio.gather(*tasks)
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# Cache the HTML generation process using Streamlit's caching decorator
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@st.cache_data(show_spinner=False)
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def get_cached_html_page(_username, _models, _datasets):
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return generate_html_page(_username, _models, _datasets)
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# Generate HTML content for a user and save it to a file - because who doesn't love a good download link? 💾
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def generate_html_page(username, models, datasets):
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html_content = f"""
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return html_file_path
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# Streamlit app setup - the nerve center of our operation! 🎛️
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st.title("Hugging Face User Content Display - Let's Automate Some Fun! 🎉")
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