Update app.py

app.py

@@ -5,6 +5,9 @@ import gradio as gr
 import zipfile
 import requests
 import io
+import random
+
+input_count = 200
 
 # Download and extract the MovieLens dataset
 url = 'https://files.grouplens.org/datasets/movielens/ml-latest-small.zip'
@@ -57,10 +60,10 @@ def recommend_movies(movie):
     return "Score     Title\n" + "\n".join([format_string.format(score, title) for title, score in recommendations])
 
 # Create the Gradio interface
-movie_list = movies['title'].tolist()
+movie_list = random.sample(movies['title'].tolist(), input_count)
 total_movies = len(movies)
 iface = gr.Interface(fn=recommend_movies, 
-                     inputs=gr.Dropdown(movie_list, label=f"Select a Movie (Total movies: {total_movies})"), 
+                     inputs=gr.Dropdown(movie_list, label=f"Select a Movie (Total movies: {total_movies}, randomly list {input_count} for demo purpose.)"), 
                      outputs="text", 
                      title="Movie Recommender - Content-Based Filtering", 
                      description="Select a movie to get recommendations based on content filtering.")