Update app.py

app.py

@@ -99,13 +99,13 @@ for category in categories.keys():
 # Add space URLs
 df['url'] = 'https://huggingface.co/spaces/' + df['id']
 
-# Let's show the top 5 spaces from each category with their links
-print("Top 5 spaces in each category with links:")
+# Let's show the top 10 spaces from each category with their links
+# print("Top 10 spaces in each category with links:")
 for category in categories.keys():
-    print(f"\n=== {category} ===")
-    top_5 = df[df['category'] == category].nlargest(5, 'likes')[['title', 'likes', 'url']]
+    # print(f"\n=== {category} ===")
+    top_10 = df[df['category'] == category].nlargest(10, 'likes')[['title', 'likes', 'url']]
     # Format output with padding for better readability
-    print(top_5.to_string(index=False))
+    # print(top_5.to_string(index=False))
 
 # ------------------------------------------------------
 
@@ -118,7 +118,7 @@ def search_spaces(search_text, category):
     if search_text:
         spaces_df = spaces_df[spaces_df['title'].str.lower().str.contains(search_text.lower())]
     
-    spaces = spaces_df.nlargest(20, 'likes')[['title', 'likes', 'url', 'category']]
+    spaces = spaces_df.nlargest(50, 'likes')[['title', 'likes', 'url', 'category']]
     
     # Get category stats
     total_spaces = len(spaces_df)