Update app.py

app.py

@@ -379,7 +379,7 @@ def get_models_data(progress=gr.Progress()):
         fig.add_trace(go.Bar(
             x=ids,
             y=y_values,
-            text=[f"Rank: {r}<br>Likes: {l:,}<br>Downloads: {d:,}" 
+            text=[f"Rank: {r}<br>Likes: {format(l, ',') if isinstance(l, (int, float)) else l}<br>Downloads: {format(d, ',') if isinstance(d, (int, float)) else d}" 
                   for r, l, d in zip(ranks, likes, downloads)],
             textposition='auto',
             marker_color='rgb(158,202,225)',
@@ -424,6 +424,10 @@ def get_models_data(progress=gr.Progress()):
             downloads = model.get('downloads', 0)
             title = model.get('title', 'No Title')
             
+            # 숫자 포맷팅 처리
+            likes_display = format(likes, ',') if isinstance(likes, (int, float)) else likes
+            downloads_display = format(downloads, ',') if isinstance(downloads, (int, float)) else downloads
+            
             html_content += f"""
             <div style='
                 background: white;
@@ -434,8 +438,8 @@ def get_models_data(progress=gr.Progress()):
             '>
                 <h3 style='color: #34495e;'>Rank #{rank} - {model_id}</h3>
                 <p style='color: #2c3e50;'>{title}</p>
-                <p style='color: #7f8c8d;'>👍 Likes: {likes:,}</p>
-                <p style='color: #7f8c8d;'>⬇️ Downloads: {downloads:,}</p>
+                <p style='color: #7f8c8d;'>👍 Likes: {likes_display}</p>
+                <p style='color: #7f8c8d;'>⬇️ Downloads: {downloads_display}</p>
                 <a href='{target_models[model_id]}' 
                    target='_blank' 
                    style='
@@ -458,12 +462,19 @@ def get_models_data(progress=gr.Progress()):
         df_data = []
         # 모든 모델 정보를 데이터프레임에 추가
         for model in filtered_models:
+            likes = model.get('likes', 0)
+            downloads = model.get('downloads', 0)
+            
+            # 숫자 포맷팅 처리
+            likes_display = format(likes, ',') if isinstance(likes, (int, float)) else likes
+            downloads_display = format(downloads, ',') if isinstance(downloads, (int, float)) else downloads
+            
             df_data.append({
                 'Global Rank': model['rank'],
                 'Model ID': model['id'],
                 'Title': model.get('title', 'No Title'),
-                'Likes': f"{model.get('likes', 0):,}",
-                'Downloads': f"{model.get('downloads', 0):,}",
+                'Likes': likes_display,
+                'Downloads': downloads_display,
                 'URL': target_models[model['id']]
             })