Upload app.py

app.py

@@ -159,14 +159,16 @@ def recommend_books(target_book: str, num_recommendations: int = 10) -> str:
     recommendations = recommendations.head(num_recommendations)
 
     result = f"Top {num_recommendations} recommendations for '{target_book}':\n\n"
+    dups = []
     result += "\n\n".join([
-        f"{idx}. Title: {dataset.loc[dataset['Book-Title'] == row['book'], 'Book-Title'].values[0]}, "
+        f"{idx, dups.append(dataset.loc[dataset['Book-Title'] == row['book'], 'ISBN'].values[0])}. "
+        f"Title: {dataset.loc[dataset['Book-Title'] == row['book'], 'Book-Title'].values[0]}, "
             f"Author: {dataset.loc[dataset['Book-Title'] == row['book'], 'Book-Author'].values[0]}, "
     f"Year: {dataset.loc[dataset['Book-Title'] == row['book'], 'Year-Of-Publication'].values[0]}, "
     f"Publisher: {dataset.loc[dataset['Book-Title'] == row['book'], 'Publisher'].values[0]}, "
         f"ISBN: {dataset.loc[dataset['Book-Title'] == row['book'], 'ISBN'].values[0]}, "
         f"Rating: {ratings_by_isbn.loc[ratings_by_isbn['ISBN'] == dataset.loc[dataset['Book-Title'] == row['book'], 'ISBN'].values[0], 'Book-Rating'].values[0]}"
-        for idx, (_, row) in enumerate(recommendations.iterrows(), 1)
+        for idx, (_, row) in enumerate(recommendations.iterrows(), 1) if dataset.loc[dataset['Book-Title'] == row['book'], 'ISBN'].values[0] not in dups
     ])
     # "ISBN";"Book-Title";"Book-Author";"Year-Of-Publication";"Publisher";"Image-URL-S"
     return result