Removed Gallery

app.py

@@ -49,39 +49,49 @@ def get_recommendations(game_name, data, feature_vectors):
     game_similarity = cosine_similarity(feature_vectors)
     similarity_scores = list(enumerate(game_similarity[index_of_the_game]))
     sorted_similar_games = sorted(similarity_scores, key=lambda x: x[1], reverse=True)
-    
-    results = []
-    for i, game in enumerate(sorted_similar_games[1:10], 1):  # Skip the first one as it's the game itself
+
+    result_html = ""
+
+    for i, game in enumerate(sorted_similar_games[1:10], 1):
         index = game[0]
         name = data.loc[index, 'name']
-        
-        # Get additional information
-        about = data.loc[index, 'about_the_game'] if 'about_the_game' in data.columns else "No description available"
-        image_url = data.loc[index, 'header_image'] if 'header_image' in data.columns else None
-        
-        # Get platform information
+        about = data.loc[index, 'short_description'] or "No description available"
+        image_url = data.loc[index, 'header_image'] or ""
+
         platforms = []
-        if 'windows' in data.columns and data.loc[index, 'windows'] == 1:
+        if data.loc[index, 'windows'] == 1:
             platforms.append("Windows")
-        if 'mac' in data.columns and data.loc[index, 'mac'] == 1:
+        if data.loc[index, 'mac'] == 1:
             platforms.append("Mac")
-        if 'linux' in data.columns and data.loc[index, 'linux'] == 1:
+        if data.loc[index, 'linux'] == 1:
             platforms.append("Linux")
-        platforms_str = ", ".join(platforms) if platforms else "Unknown"
-        
-        # Format the result
-        result = f"**{i}. {name}**\n\n"
-        result += f"**Platforms:** {platforms_str}\n\n"
-        
-        # Truncate the about text to keep output clean
-        if about and about != "":
-            result += f"**About the Game:** {about}\n\n"
-        else:
-            result += "**About the Game:** No description available\n\n"
-        
-        results.append((result, image_url))
-    
-    return results
+        platforms_str = ", ".join(platforms) or "Unknown"
+
+        metacritic = data.loc[index, 'metacritic_score']
+        price = data.loc[index, 'price']
+        pos = data.loc[index, 'positive']
+        neg = data.loc[index, 'negative']
+        total_reviews = pos + neg
+        pos_ratio = f"{(pos / total_reviews * 100):.1f}%" if total_reviews > 0 else "N/A"
+
+        # Combine into HTML
+        result_html += f"""
+        <div style="display:flex; align-items:flex-start; margin-bottom:20px;">
+            <img src="{image_url}" style="width:150px; height:auto; margin-right:15px; border-radius:8px;">
+            <div>
+                <h3>{i}. {name}</h3>
+                <p><b>Platforms:</b> {platforms_str}</p>
+                <p><b>Price:</b> ${price}</p>
+                <p><b>Metacritic Score:</b> {metacritic if pd.notnull(metacritic) else "N/A"}</p>
+                <p><b>Positive Reviews:</b> {pos_ratio}</p>
+                <p>{about}</p>
+            </div>
+        </div>
+        <hr>
+        """
+
+    return result_html
+
 
 # Gradio interface function
 def recommend_games(game_name):
@@ -90,10 +100,10 @@ def recommend_games(game_name):
         return "Failed to load data. Please check the data file."
     
     feature_vectors = prepare_features(data)
-    recommendations = get_recommendations(game_name, data, feature_vectors)
+    recommendations_html = get_recommendations(game_name, data, feature_vectors)
     
-    if isinstance(recommendations, str):
-        return recommendations
+    return recommendations_html
+
     
     # Format the output for Gradio
     result_texts = []
@@ -126,22 +136,13 @@ with gr.Blocks(title="Steam Game Recommender") as demo:
     with gr.Row():
         output_text = gr.Markdown(label="Recommendations")
     
-    with gr.Row():
-        output_gallery = gr.Gallery(
-            label="Game Images", 
-            show_label=True, 
-            elem_id="gallery",
-            columns=[3], 
-            rows=[3], 
-            height="auto"
-        )
-    
     submit_btn.click(
         fn=recommend_games,
         inputs=input_text,
-        outputs=[output_text, output_gallery]
+        outputs=output_text
     )
 
+
 # Launch the app
 if __name__ == "__main__":
     demo.launch()