Increased Data Size

app.py

@@ -9,7 +9,7 @@ import numpy as np
 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=20000, on_bad_lines='skip', engine='python')
+        data = pd.read_csv('games_march2025_cleaned.csv', nrows=88899, on_bad_lines='skip', engine='python')
         return data
     except Exception as e:
         print(f"Error loading data: {e}")
@@ -134,11 +134,11 @@ def recommend_games(game_name, max_age, max_price, min_metacritic):
 
 # Create the Gradio interface
 with gr.Blocks(title="Steam Game Recommender") as demo:
-    gr.Markdown("# 🎮 Steam Game Recommender")
+    gr.Markdown("#Steam Game Recommender")
     gr.Markdown("Enter a game you like and customize filters to get similar suggestions.")
 
     with gr.Row():
-        input_text = gr.Textbox(label="🎯 Favorite Game")
+        input_text = gr.Textbox(label="Favorite Game")
     
     with gr.Row():
         max_age_slider = gr.Slider(0, 21, value=17, label="Max Age Rating (Avoid Adult Games)")
@@ -146,10 +146,10 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
         min_metacritic_slider = gr.Slider(0, 100, value=50, step=1, label="Minimum Metacritic Score")
 
     with gr.Row():
-        submit_btn = gr.Button("🔍 Get Recommendations")
+        submit_btn = gr.Button("Get Recommendations")
 
     with gr.Row():
-        output_text = gr.Markdown(label="🧠 Recommendations")
+        output_text = gr.Markdown(label="Recommendations")
 
     submit_btn.click(
         fn=recommend_games,