Update app.py

app.py

@@ -5,11 +5,10 @@ from sklearn.metrics.pairwise import cosine_similarity
 import gradio as gr
 import numpy as np
 
-# Load the data - when deploying, adjust the path to where your dataset will be stored
+# Load the data
 def load_data():
     try:
-        # For Hugging Face Spaces deployment, you might need to adjust this path
-        data = pd.read_csv('games_march2025_cleaned.csv', nrows=50000, on_bad_lines='skip', engine='python')
+        data = pd.read_csv('games_march2025_cleaned.csv', nrows=20000, on_bad_lines='skip', engine='python')
         return data
     except Exception as e:
         print(f"Error loading data: {e}")
@@ -142,6 +141,4 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
 
 # Launch the app
 if __name__ == "__main__":
-    demo.launch()
-
-
+    demo.launch()