Update app.py

app.py

@@ -52,9 +52,11 @@ def find_similar_products(query_embedding, top_k=8):
     # Perform FAISS search
     distances, indices = faiss_index.search(query_embedding, top_k)
     
-    # Retrieve matching products
-    matching_products = df.iloc[indices[0]]
-    return matching_products, distances[0]
+    # Retrieve metadata for matching products
+    matching_products = [product_metadata_list[idx] for idx in indices[0]]
+    matching_distances = distances[0]
+    
+    return matching_products, matching_distances
 
 # Rest of the code remains the same...
 def analyze_query_and_find_products(query: str) -> str: