Update plagiarism.py

plagiarism.py

@@ -19,6 +19,7 @@ model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
 # returns cosine similarity of two vectors
 # input: two vectors
 # output: integer between 0 and 1.
+
 def get_cosine(vec1, vec2):
     intersection = set(vec1.keys()) & set(vec2.keys())
 
@@ -93,7 +94,7 @@ def google_search(
         if "items" in results and len(results["items"]) > 0:
             for count, link in enumerate(results["items"]):
                 # stop after 3 pages
-                if count >= 3:
+                if count >= 4:
                     break
                 # skip user selected domains
                 if any(
@@ -312,17 +313,19 @@ def plagiarism_check(
     urlMap = {}
     for count, i in enumerate(index_descending):
         urlMap[i] = count + 1
+        
     for i, sent in enumerate(sentences):
         formatted_tokens.append(
             (sent, "[" + str(urlMap[sentenceToMaxURL[i]]) + "]")
         )
+    formatted_tokens.append("\n\n\n\")
     for ind in index_descending:
         formatted_tokens.append(
             (
                 urlList[ind]
                 + " --- Matching Score: "
                 + f"{str(round(urlScore[ind] * 100, 2))}%",
-                "[" + str(urlMap[ind]) + "]",
+                "[" + str(urlMap[ind]) + "]" + "\n",
             )
         )
         formatted_tokens.append(("\n", None))