Update app.py

app.py

@@ -90,12 +90,11 @@ def get_recommendations(game_name, data, feature_vectors):
 
     return result_html
 
-
 # Gradio interface function
 def recommend_games(game_name, max_age, max_price, min_metacritic):
     data = load_data()
     if data is None:
-        return "Failed to load data. Please check the data file."
+        return "Failed to load data."
     
     # Apply filters BEFORE feature preparation
     data = data[
@@ -105,21 +104,20 @@ def recommend_games(game_name, max_age, max_price, min_metacritic):
     ].reset_index(drop=True)
     
     if data.empty:
-        return "No games found matching your filter criteria."
+        return "No games found."
 
     feature_vectors = prepare_features(data)
     recommendations_html = get_recommendations(game_name, data, feature_vectors)
     
     return recommendations_html
 
-
 # Create the Gradio interface
 with gr.Blocks(title="Steam Game Recommender") as demo:
     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="Input Steam Game")
     
     with gr.Row():
         max_age_slider = gr.Slider(0, 21, value=17, label="Max Age Rating (Avoid Adult Games)")
@@ -138,7 +136,6 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
         outputs=output_text
     )
 
-
 # Launch the app
 if __name__ == "__main__":
     demo.launch()