app.py

import gradio as gr
import requests
import pandas as pd
import plotly.graph_objects as go
from datetime import datetime
import os

HF_TOKEN = os.getenv("HF_TOKEN")

# 관심 스페이스 URL 리스트와 정보
target_spaces = {
    "ginipick/FLUXllama": "https://huggingface.co/spaces/ginipick/FLUXllama",
    "ginipick/SORA-3D": "https://huggingface.co/spaces/ginipick/SORA-3D",
    "fantaxy/Sound-AI-SFX": "https://huggingface.co/spaces/fantaxy/Sound-AI-SFX",
    "fantos/flx8lora": "https://huggingface.co/spaces/fantos/flx8lora",
    "ginigen/Canvas": "https://huggingface.co/spaces/ginigen/Canvas",
    "fantaxy/erotica": "https://huggingface.co/spaces/fantaxy/erotica",
    "ginipick/time-machine": "https://huggingface.co/spaces/ginipick/time-machine",
    "aiqcamp/FLUX-VisionReply": "https://huggingface.co/spaces/aiqcamp/FLUX-VisionReply",
    "openfree/Tetris-Game": "https://huggingface.co/spaces/openfree/Tetris-Game",
    "openfree/everychat": "https://huggingface.co/spaces/openfree/everychat",
    "VIDraft/mouse1": "https://huggingface.co/spaces/VIDraft/mouse1",
    "kolaslab/alpha-go": "https://huggingface.co/spaces/kolaslab/alpha-go",
    "ginipick/text3d": "https://huggingface.co/spaces/ginipick/text3d",
    "openfree/trending-board": "https://huggingface.co/spaces/openfree/trending-board",
    "cutechicken/tankwar": "https://huggingface.co/spaces/cutechicken/tankwar",
    "openfree/game-jewel": "https://huggingface.co/spaces/openfree/game-jewel",
    "VIDraft/mouse-chat": "https://huggingface.co/spaces/VIDraft/mouse-chat",
    "ginipick/AccDiffusion": "https://huggingface.co/spaces/ginipick/AccDiffusion",
    "aiqtech/Particle-Accelerator-Simulation": "https://huggingface.co/spaces/aiqtech/Particle-Accelerator-Simulation",
    "openfree/GiniGEN": "https://huggingface.co/spaces/openfree/GiniGEN",
    "kolaslab/3DAudio-Spectrum-Analyzer": "https://huggingface.co/spaces/kolaslab/3DAudio-Spectrum-Analyzer",
    "openfree/trending-news-24": "https://huggingface.co/spaces/openfree/trending-news-24",
    "ginipick/Realtime-FLUX": "https://huggingface.co/spaces/ginipick/Realtime-FLUX",
    "VIDraft/prime-number": "https://huggingface.co/spaces/VIDraft/prime-number",
    "kolaslab/zombie-game": "https://huggingface.co/spaces/kolaslab/zombie-game",
    "fantos/miro-game": "https://huggingface.co/spaces/fantos/miro-game",
    "kolaslab/shooting": "https://huggingface.co/spaces/kolaslab/shooting",
    "VIDraft/Mouse-Hackathon": "https://huggingface.co/spaces/VIDraft/Mouse-Hackathon",
    "upstage/open-ko-llm-leaderboard": "https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard",
    "LGAI-EXAONE/EXAONE-3.5-Instruct-Demo": "https://huggingface.co/spaces/LGAI-EXAONE/EXAONE-3.5-Instruct-Demo",
    "NCSOFT/VARCO_Arena": "https://huggingface.co/spaces/NCSOFT/VARCO_Arena"
}

def get_trending_spaces(search_query="", sort_by="rank", progress=gr.Progress()):
    """트렌딩 스페이스 가져오기"""
    url = "https://huggingface.co/api/spaces"
    
    try:
        progress(0, desc="Fetching spaces data...")
        params = {
            'full': 'true',
            'limit': 1000  # 충분한 수의 스페이스를 가져오기 위해 증가
        }

        response = requests.get(url, params=params)
        response.raise_for_status()
        all_spaces = response.json()
        
        # target_spaces에 있는 스페이스만 필터링
        spaces = [space for space in all_spaces if space.get('id', '') in target_spaces]
        
        progress(0.1, desc="Creating visualization...")
        
        # 트렌드 시각화 생성
        plot = create_trend_visualization(spaces)
        
        progress(0.4, desc="Creating space cards...")
        
        # 스페이스 카드 HTML 생성
        html_content = """
        <div style='padding: 20px; background: #f5f5f5;'>
            <div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
        """
        
        for idx, space in enumerate(spaces):
            space_id = space.get('id', '')
            likes = space.get('likes', 0)
            title = space.get('title', 'No Title')
            description = space.get('description', 'No Description')[:100]
            
            html_content += f"""
            <div style='
                background: white;
                padding: 20px;
                border-radius: 10px;
                box-shadow: 0 2px 4px rgba(0,0,0,0.1);
                transition: transform 0.2s;
            '>
                <h3 style='color: #34495e;'>#{idx + 1} - {space_id}</h3>
                <p style='color: #7f8c8d;'>👍 Likes: {likes}</p>
                <p style='color: #2c3e50;'>{title}</p>
                <p style='color: #7f8c8d; font-size: 0.9em;'>{description}...</p>
                <a href='{target_spaces[space_id]}' 
                   target='_blank' 
                   style='
                    display: inline-block;
                    padding: 8px 16px;
                    background: #3498db;
                    color: white;
                    text-decoration: none;
                    border-radius: 5px;
                    transition: background 0.3s;
                   '>
                   Visit Space 🔗
                </a>
            </div>
            """
            progress((0.4 + 0.5 * idx/len(spaces)), desc=f"Loading space {idx+1}/{len(spaces)}...")
            
        html_content += "</div></div>"
        
        # 데이터 테이블 생성
        df = create_data_table(spaces)
        
        progress(1.0, desc="Complete!")
        return plot, html_content, df
        
    except Exception as e:
        error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>'
        error_plot = create_error_plot()
        return error_plot, error_html, pd.DataFrame()

def create_trend_visualization(spaces_data):
    if not spaces_data:
        return create_error_plot()
    
    fig = go.Figure()
    
    # 순위 데이터 준비
    ranks = []
    for idx, space in enumerate(spaces_data, 1):
        space_id = space.get('id', '')
        if space_id in target_spaces:
            ranks.append({
                'id': space_id,
                'rank': idx,
                'likes': space.get('likes', 0),
                'title': space.get('title', 'N/A'),
                'views': space.get('views', 0)
            })
    
    if not ranks:
        return create_error_plot()
    
    # 순위별로 정렬
    ranks.sort(key=lambda x: x['rank'])
    
    # 플롯 데이터 생성
    ids = [r['id'] for r in ranks]
    rank_values = [r['rank'] for r in ranks]
    likes = [r['likes'] for r in ranks]
    views = [r['views'] for r in ranks]
    
    # 막대 그래프 생성
    fig.add_trace(go.Bar(
        x=ids,
        y=rank_values,
        text=[f"Rank: {r}<br>Likes: {l}<br>Views: {v}" for r, l, v in zip(rank_values, likes, views)],
        textposition='auto',
        marker_color='rgb(158,202,225)',
        opacity=0.8
    ))
    
    fig.update_layout(
        title={
            'text': 'Current Trending Ranks (All Target Spaces)',
            'y':0.95,
            'x':0.5,
            'xanchor': 'center',
            'yanchor': 'top'
        },
        xaxis_title='Space ID',
        yaxis_title='Trending Rank',
        yaxis_autorange='reversed',
        height=800,
        showlegend=False,
        template='plotly_white',
        xaxis_tickangle=-45
    )
    
    return fig

# 토큰이 없는 경우를 위한 대체 함수
def get_trending_spaces_without_token():
    try:
        url = "https://huggingface.co/api/spaces"
        params = {
            'sort': 'likes',
            'direction': -1,
            'limit': 1000,
            'full': 'true'
        }
        
        response = requests.get(url, params=params)
        
        if response.status_code == 200:
            return response.json()
        else:
            print(f"API 요청 실패 (토큰 없음): {response.status_code}")
            print(f"Response: {response.text}")
            return None
    except Exception as e:
        print(f"API 호출 중 에러 발생 (토큰 없음): {str(e)}")
        return None

# API 토큰 설정 및 함수 선택
if not HF_TOKEN:
    get_trending_spaces = get_trending_spaces_without_token



def create_error_plot():
    fig = go.Figure()
    fig.add_annotation(
        text="데이터를 불러올 수 없습니다.\n(API 인증이 필요합니다)",
        xref="paper",
        yref="paper",
        x=0.5,
        y=0.5,
        showarrow=False,
        font=dict(size=20)
    )
    fig.update_layout(
        title="Error Loading Data",
        height=400
    )
    return fig


def create_space_info_html(spaces_data):
    if not spaces_data:
        return "<div style='padding: 20px;'><h2>데이터를 불러오는데 실패했습니다.</h2></div>"
    
    html_content = """
    <div style='padding: 20px;'>
    <h2 style='color: #2c3e50;'>Current Trending Rankings</h2>
    <div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>
    """
    
    # 모든 target spaces를 포함하도록 수정
    for space_id in target_spaces.keys():
        space_info = next((s for s in spaces_data if s.get('id') == space_id), None)
        if space_info:
            rank = next((idx for idx, s in enumerate(spaces_data, 1) if s.get('id') == space_id), 'N/A')
            html_content += f"""
            <div style='
                background: white;
                padding: 20px;
                border-radius: 10px;
                box-shadow: 0 2px 4px rgba(0,0,0,0.1);
                transition: transform 0.2s;
            '>
                <h3 style='color: #34495e;'>#{rank} - {space_id}</h3>
                <p style='color: #7f8c8d;'>👍 Likes: {space_info.get('likes', 'N/A')}</p>
                <p style='color: #7f8c8d;'>👀 Views: {space_info.get('views', 'N/A')}</p>
                <p style='color: #2c3e50;'>{space_info.get('title', 'N/A')}</p>
                <p style='color: #7f8c8d; font-size: 0.9em;'>{space_info.get('description', 'N/A')[:100]}...</p>
                <a href='{target_spaces[space_id]}' 
                   target='_blank' 
                   style='
                    display: inline-block;
                    padding: 8px 16px;
                    background: #3498db;
                    color: white;
                    text-decoration: none;
                    border-radius: 5px;
                    transition: background 0.3s;
                   '>
                   Visit Space 🔗
                </a>
            </div>
            """
        else:
            html_content += f"""
            <div style='
                background: #f8f9fa;
                padding: 20px;
                border-radius: 10px;
                box-shadow: 0 2px 4px rgba(0,0,0,0.1);
            '>
                <h3 style='color: #34495e;'>{space_id}</h3>
                <p style='color: #7f8c8d;'>Not in trending</p>
                <a href='{target_spaces[space_id]}' 
                   target='_blank' 
                   style='
                    display: inline-block;
                    padding: 8px 16px;
                    background: #95a5a6;
                    color: white;
                    text-decoration: none;
                    border-radius: 5px;
                   '>
                   Visit Space 🔗
                </a>
            </div>
            """
    
    html_content += "</div></div>"
    return html_content

def create_data_table(spaces_data):
    if not spaces_data:
        return pd.DataFrame()
    
    rows = []
    for idx, space in enumerate(spaces_data, 1):
        space_id = space.get('id', '')
        if space_id in target_spaces:
            rows.append({
                'Rank': idx,
                'Space ID': space_id,
                'Likes': space.get('likes', 'N/A'),
                'Title': space.get('title', 'N/A'),
                'URL': target_spaces[space_id]
            })
    
    return pd.DataFrame(rows)

def refresh_data():
    spaces_data = get_trending_spaces()
    if spaces_data:
        plot = create_trend_visualization(spaces_data)
        info = create_space_info_html(spaces_data)
        df = create_data_table(spaces_data)
        return plot, info, df
    else:
        return create_error_plot(), "<div>API 인증이 필요합니다.</div>", pd.DataFrame()

# Gradio 인터페이스 생성
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # 🤗 HuggingFace Spaces Trending Analysis
    실시간으로 Hugging Face Spaces의 트렌딩 순위를 분석합니다.
    """)
    
    with gr.Tab("Trending Analysis"):
        plot_output = gr.Plot()
        info_output = gr.HTML()
    
    with gr.Tab("Export Data"):
        df_output = gr.DataFrame()
    
    refresh_btn = gr.Button("🔄 Refresh Data", variant="primary")
    
    def refresh_data():
        return get_trending_spaces()
    
    refresh_btn.click(
        refresh_data,
        outputs=[plot_output, info_output, df_output]
    )
    
    # 초기 데이터 로드
    initial_plot, initial_info, initial_df = get_trending_spaces()
    plot_output.value = initial_plot
    info_output.value = initial_info
    df_output.value = initial_df

# Gradio 앱 실행
demo.launch(
    server_name="0.0.0.0",
    server_port=7860,
    share=False
)