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Create app.py
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app.py
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import requests
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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from datetime import datetime, timedelta
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import numpy as np
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import streamlit as st
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import plotly.graph_objects as go
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import plotly.express as px
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from PIL import Image
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import io
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import base64
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# νμ΄μ§ μ€μ
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st.set_page_config(layout="wide", page_title="HuggingFace Spaces Trending Analysis")
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# μ€νμΌ μ μ©
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st.markdown("""
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<style>
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.main {
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background-color: #f5f5f5;
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}
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.stButton>button {
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background-color: #ff4b4b;
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color: white;
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border-radius: 5px;
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}
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.trending-card {
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padding: 20px;
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border-radius: 10px;
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background-color: white;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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margin: 10px 0;
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}
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</style>
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""", unsafe_allow_html=True)
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# νμ΄ν
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st.title("π€ HuggingFace Spaces Trending Analysis")
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# κ΄μ¬ μ€νμ΄μ€ URL 리μ€νΈμ μ 보
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target_spaces = {
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"ginipick/FLUXllama": "https://huggingface.co/spaces/ginipick/FLUXllama",
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"ginipick/SORA-3D": "https://huggingface.co/spaces/ginipick/SORA-3D",
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"fantaxy/Sound-AI-SFX": "https://huggingface.co/spaces/fantaxy/Sound-AI-SFX",
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# ... [λλ¨Έμ§ μ€νμ΄μ€λ€λ λμΌν νμμΌλ‘ μΆκ°]
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"NCSOFT/VARCO_Arena": "https://huggingface.co/spaces/NCSOFT/VARCO_Arena"
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}
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def get_trending_spaces(date):
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url = f"https://huggingface.co/api/spaces/trending?date={date}&limit=300"
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response = requests.get(url)
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if response.status_code == 200:
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return response.json()
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return None
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def get_space_rank(spaces, space_id):
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for idx, space in enumerate(spaces, 1):
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if space.get('id', '') == space_id:
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return idx
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return None
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# λ°μ΄ν° μμ§
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@st.cache_data
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def fetch_trending_data():
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start_date = datetime(2023, 12, 1)
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end_date = datetime(2023, 12, 31)
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dates = [(start_date + timedelta(days=x)).strftime('%Y-%m-%d')
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for x in range((end_date - start_date).days + 1)]
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trending_data = {}
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target_space_ranks = {space: [] for space in target_spaces.keys()}
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with st.spinner('λ°μ΄ν°λ₯Ό λΆλ¬μ€λ μ€...'):
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for date in dates:
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spaces = get_trending_spaces(date)
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if spaces:
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trending_data[date] = spaces
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for space_id in target_spaces.keys():
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rank = get_space_rank(spaces, space_id)
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target_space_ranks[space_id].append(rank)
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return trending_data, target_space_ranks, dates
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trending_data, target_space_ranks, dates = fetch_trending_data()
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# μκ°ν
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st.header("π Trending Rank Changes")
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# Plotlyλ₯Ό μ¬μ©ν μΈν°λν°λΈ κ·Έλν
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fig = go.Figure()
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for space_id, ranks in target_space_ranks.items():
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fig.add_trace(go.Scatter(
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x=dates,
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y=ranks,
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name=space_id,
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mode='lines+markers',
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hovertemplate=
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'<b>Date</b>: %{x}<br>' +
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'<b>Rank</b>: %{y}<br>' +
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'<b>Space</b>: ' + space_id
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))
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fig.update_layout(
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title='Trending Ranks Over Time',
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xaxis_title='Date',
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yaxis_title='Rank',
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yaxis_autorange='reversed',
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height=800,
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template='plotly_white',
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hovermode='x unified'
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)
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st.plotly_chart(fig, use_container_width=True)
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# μ΅μ μμ μ 보 μΆλ ₯
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st.header("π Latest Rankings")
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latest_date = max(trending_data.keys())
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latest_spaces = trending_data[latest_date]
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cols = st.columns(3)
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col_idx = 0
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for space_id, url in target_spaces.items():
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rank = get_space_rank(latest_spaces, space_id)
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if rank:
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space_info = next((s for s in latest_spaces if s['id'] == space_id), None)
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if space_info:
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with cols[col_idx % 3]:
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with st.container():
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st.markdown(f"""
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<div class="trending-card">
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<h3>#{rank} - {space_id}</h3>
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<p>π Likes: {space_info.get('likes', 'N/A')}</p>
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<p>π {space_info.get('title', 'N/A')}</p>
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<p>{space_info.get('description', 'N/A')[:100]}...</p>
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<a href="{url}" target="_blank">Visit Space π</a>
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</div>
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""", unsafe_allow_html=True)
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col_idx += 1
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# λ€μ΄λ‘λ κΈ°λ₯
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st.header("π Download Data")
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# DataFrame μμ±
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df_data = []
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for date in dates:
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spaces = trending_data.get(date, [])
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for space_id in target_spaces.keys():
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rank = get_space_rank(spaces, space_id)
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if rank:
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space_info = next((s for s in spaces if s['id'] == space_id), None)
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if space_info:
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df_data.append({
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'Date': date,
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'Space ID': space_id,
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'Rank': rank,
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'Likes': space_info.get('likes', 'N/A'),
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'Title': space_info.get('title', 'N/A'),
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'URL': target_spaces[space_id]
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})
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df = pd.DataFrame(df_data)
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# CSV λ€μ΄λ‘λ λ²νΌ
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csv = df.to_csv(index=False)
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b64 = base64.b64encode(csv.encode()).decode()
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href = f'<a href="data:file/csv;base64,{b64}" download="trending_data.csv">Download CSV File</a>'
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st.markdown(href, unsafe_allow_html=True)
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# νΈν°
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st.markdown("""
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---
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Made with β€οΈ using Streamlit and HuggingFace API
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""")
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