Update main.py

main.py

@@ -51,11 +51,12 @@ async def calculate_cosine_similarity_tabulated(data: ListInput):
 
         # Iterate through the sentences and calculate similarity scores
         for i, sentence1 in enumerate(embeddings1):
-            row = ["S" + str(i + 1)]  # Start the row with "S1", "S2", ...
+            row = ["CO" + str(i + 1)]  # Start the row with "S1", "S2", ...
 
             for sentence2 in embeddings2:
                 score = util.pytorch_cos_sim(sentence1, sentence2).item()
-                formatted_score = f"{score:.3f}"
+                new_max = 3
+                formatted_score = f"{(score + 1) / 2 * new_max:.3f}"
                 row.append(formatted_score)
 
             # Add the row to the similarity table