Update app.py

app.py

@@ -1 +1,106 @@
-1
+import gradio as gr
+import pandas as pd
+import plotly.express as px
+from datetime import datetime, timedelta
+import requests
+from io import BytesIO
+
+def load_and_process_data():
+    # Hugging Face 데이터셋에서 parquet 파일 다운로드
+    url = "https://huggingface.co/datasets/cfahlgren1/hub-stats/resolve/main/spaces.parquet"
+    response = requests.get(url)
+    df = pd.read_parquet(BytesIO(response.content))
+    
+    # 30일 전 날짜 계산
+    thirty_days_ago = datetime.now() - timedelta(days=30)
+    
+    # SQL 쿼리와 동일한 처리
+    df['createdAt'] = pd.to_datetime(df['createdAt'])
+    filtered_df = df[df['createdAt'] >= thirty_days_ago].copy()
+    filtered_df['created'] = filtered_df['createdAt'].dt.date
+    filtered_df = filtered_df.sort_values('trendingScore', ascending=False)
+    
+    return filtered_df.head(100)
+
+def create_trend_chart(selected_id, df):
+    if not selected_id:
+        return None
+        
+    space_data = df[df['id'] == selected_id]
+    if space_data.empty:
+        return None
+        
+    # 선택된 space의 트렌드 차트 생성
+    fig = px.line(
+        space_data,
+        x='created',
+        y='trendingScore',
+        title=f'Trending Score for {selected_id}',
+        labels={'created': 'Date', 'trendingScore': 'Trending Score'}
+    )
+    
+    fig.update_layout(
+        xaxis_title="Date",
+        yaxis_title="Trending Score",
+        hovermode='x unified',
+        plot_bgcolor='white',
+        paper_bgcolor='white'
+    )
+    
+    return fig
+
+def update_display(selected_id, df):
+    if selected_id is None:
+        return None, ""
+    
+    space_data = df[df['id'] == selected_id].iloc[0]
+    info_text = f"""ID: {space_data['id']}
+Created At: {space_data['createdAt'].strftime('%Y-%m-%d')}
+Trending Score: {space_data['trendingScore']:.2f}"""
+    
+    chart = create_trend_chart(selected_id, df)
+    
+    return chart, info_text
+
+# 데이터 로드
+df = load_and_process_data()
+
+# Gradio 인터페이스 생성
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# Trending Spaces Dashboard")
+    
+    with gr.Row():
+        # 왼쪽 패널 - 스페이스 리스트
+        with gr.Column(scale=1):
+            space_list = gr.Dropdown(
+                choices=[(row['id'], f"{row['id']} (Score: {row['trendingScore']:.2f})") 
+                        for _, row in df.iterrows()],
+                label="Select a Space",
+                info="Click to select a space and view its trend",
+                value=df['id'].iloc[0] if not df.empty else None
+            )
+            
+            # 스페이스 정보 표시
+            info_box = gr.Textbox(
+                label="Space Details",
+                value="",
+                interactive=False,
+                lines=3
+            )
+        
+        # 오른쪽 패널 - 트렌드 차트
+        with gr.Column(scale=2):
+            trend_plot = gr.Plot(
+                label="Trending Score Over Time"
+            )
+    
+    # 이벤트 핸들러
+    space_list.change(
+        fn=update_display,
+        inputs=[space_list],
+        outputs=[trend_plot, info_box]
+    )
+
+# 대시보드 실행
+if __name__ == "__main__":
+    demo.launch()