Update app.py

app.py

@@ -1,3 +1,4 @@
+Can you help me filter this based on the pos_ratio instead?
 import pandas as pd
 import difflib
 from sklearn.feature_extraction.text import TfidfVectorizer
@@ -93,25 +94,17 @@ def get_recommendations(game_name, data, feature_vectors):
 
 
 # Gradio interface function
-def recommend_games(game_name, max_age, max_price, min_pos_ratio):
+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."
     
     # Apply filters BEFORE feature preparation
-    # Avoid division by zero and filter by positive ratio
-    data['pos_ratio'] = data.apply(
-        lambda row: (row['positive'] / (row['positive'] + row['negative']))
-        if (row['positive'] + row['negative']) > 0 else 0,
-        axis=1
-    )
-
     data = data[
         (data['required_age'] <= max_age) &
         (data['price'] <= max_price) &
-        (data['pos_ratio'] >= min_pos_ratio)
+        ((data['metacritic_score'].fillna(0) >= min_metacritic) | data['metacritic_score'].isna())
     ].reset_index(drop=True)
-
     
     if data.empty:
         return "No games found matching your filter criteria."
@@ -133,7 +126,7 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
     with gr.Row():
         max_age_slider = gr.Slider(0, 21, value=17, label="Max Age Rating (Avoid Adult Games)")
         max_price_slider = gr.Slider(0.0, 100.0, value=60.0, step=0.5, label="Maximum Price ($)")
-        min_pos_ratio_slider = gr.Slider(0.0, 1.0, value=0.7, step=0.01, label="Minimum Positive Review Ratio")
+        min_metacritic_slider = gr.Slider(0, 100, value=50, step=1, label="Minimum Metacritic Score")
 
     with gr.Row():
         submit_btn = gr.Button("Get Recommendations")
@@ -143,10 +136,13 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
 
     submit_btn.click(
         fn=recommend_games,
-        inputs=[input_text, max_age_slider, max_price_slider, min_pos_ratio_slider],
+        inputs=[input_text, max_age_slider, max_price_slider, min_metacritic_slider],
         outputs=output_text
     )
 
+
 # Launch the app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()
+
+