Update reranker.py

reranker.py

@@ -6,6 +6,7 @@ import numpy as np
 def reranker(query, matches):
 
     pairs = []
+    
     for match in matches:
         pairs.append([query, match["metadata"]["text"]])
     
@@ -13,5 +14,5 @@ def reranker(query, matches):
 
     scores = model.predict(pairs)
     top_indices = np.argsort(scores)[::-4]
-    top_results = ["Class: " + matches[index]["metadata"]["text"] for index in top_indices]
+    top_results = ["Class: " + matches[index]["metadata"]["text"] + "Class Url: " + matches[index]["metadata"]["url"] + "Class Time: " + str(matches[index]["metadata"]["time"]) for index in top_indices]
     return top_results