Update app.py

app.py

@@ -7,7 +7,8 @@ import requests
 import io
 import random
 
-input_count = 200
+input_count = 500
+result_count = 21
 
 # Download and extract the MovieLens dataset
 url = 'https://files.grouplens.org/datasets/movielens/ml-latest-small.zip'
@@ -43,7 +44,7 @@ def get_recommendations(title, cosine_sim=cosine_sim):
     sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
 
     # Get the scores of the 20 most similar movies
-    sim_scores = sim_scores[1:21]
+    sim_scores = sim_scores[1:result_count]
 
     # Get the movie indices
     movie_indices = [i[0] for i in sim_scores]