Update app.py

app.py

@@ -168,10 +168,17 @@ class MistralRAGChatbot:
                 0.3 * bm25_scores.get(idx, 0) +
                 0.2 * pagerank_scores[idx]
             )
-
+        # Step 1: Calculate min and max scores
+        min_score = min(combined_scores.values())
+        max_score = max(combined_scores.values())
+        
+        # Step 2: Normalize the scores
+        normalized_scores = {idx: (score - min_score) / (max_score - min_score) for idx, score in combined_scores.items()}
+        
+        
         sorted_indices = sorted(combined_scores, key=combined_scores.get, reverse=True)
 
-        return [{'text': self.texts[i], 'method': 'advanced_fusion', 'score': combined_scores[i], 'index': i} for i in sorted_indices[:5]]
+        return [{'text': self.texts[i], 'method': 'advanced_fusion', 'score': normalized_scores[i], 'index': i} for i in sorted_indices[:5]]
 
     def create_embeddings(self, text_list: List[str]) -> np.ndarray:
         expected_dim = 1024