Upload app.py

app.py

@@ -147,9 +147,11 @@ def recommend_books(target_book: str, num_recommendations: int = 10) -> str:
     recommendations = correlations[correlations['book'] != target_book].head(num_recommendations)
 
     result = f"Top {num_recommendations} recommendations for '{target_book}':\n\n"
-    for i, (_, row) in enumerate(recommendations.iterrows(), 1):
-        result += (f"{i}. Title: { dataset[dataset['Book-Title'] == row['book']]['Book-Title']} "
-                   f"ISBN: { dataset[dataset['Book-Title'] == row['book']]['ISBN']}\n")
+    result += "\n\n".join([
+        f"{idx}. Title: {dataset.loc[dataset['Book-Title'] == row['book'], 'Book-Title'].values[0]} "
+        f"ISBN: {dataset.loc[dataset['Book-Title'] == row['book'], 'ISBN'].values[0]}"
+        for idx, (_, row) in enumerate(recommendations.iterrows(), 1)
+    ])
 
     return result