Update app.py

app.py

@@ -3,17 +3,13 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import linear_kernel
 import gradio as gr
 import zipfile
-import requests
-import io
 import random
 
 input_count = 300
 result_count = 21
 
-# Download and extract the MovieLens dataset
-url = 'https://files.grouplens.org/datasets/movielens/ml-latest-small.zip'
-response = requests.get(url)
-with zipfile.ZipFile(io.BytesIO(response.content)) as z:
+# Extract the MovieLens dataset
+with zipfile.ZipFile('ml-latest-small.zip') as z:
     with z.open('ml-latest-small/movies.csv') as f:
         movies = pd.read_csv(f)