Update app.py

app.py

@@ -39,7 +39,7 @@ vectorizer = TfidfVectorizer(stop_words='english')
 tfidf_matrix = vectorizer.fit_transform(movies_df['summary'])
 
 # Define function to retrieve similar movies based on a query
-def retrieve_similar_movies(query, df, tfidf_matrix, top_n=5):
+def retrieve_similar_movies(query, df, tfidf_matrix, top_n=10):
     query_vec = vectorizer.transform([query])
     cosine_similarities = cosine_similarity(query_vec, tfidf_matrix).flatten()
     top_indices = cosine_similarities.argsort()[-top_n:][::-1]