Update app.py

app.py

@@ -90,13 +90,13 @@ class BookRecommender:
             recommendations = []
             for i, idx in enumerate(similar_books_idx):
                 book_data = {
-                    'title': self.df.iloc[idx].get('Title', ''),
-                    'author': self.df.iloc[idx].get('Authors', ''),
-                    'category': self.df.iloc[idx].get('Category', ''),
-                    'year': self.df.iloc[idx].get('Publish Date (Year)', ''),
-                    'description': self.df.iloc[idx].get('Description', '')[:197] + "..." if include_description and 'Description' in self.df.columns else '',
+                    'title': str(self.df.iloc[idx].get('Title', '')),
+                    'author': str(self.df.iloc[idx].get('Authors', '')),
+                    'category': str(self.df.iloc[idx].get('Category', '')),
+                    'year': str(self.df.iloc[idx].get('Publish Date (Year)', '')),
+                    'description': str(self.df.iloc[idx].get('Description', '')[:197] + "...") if include_description and 'Description' in self.df.columns else '',
                     'relevance_score': float(similarities[idx]),
-                    'rank': i + 1
+                    'rank': int(i + 1)
                 }
                 recommendations.append(book_data)
             return recommendations