no message

config.py

@@ -5,5 +5,5 @@ CONFIG = {
     "CHUNK_SIZE": 200,
     "OPENAI_ENGINE": "gpt-4o-mini",
     "MAX_TOKENS": 500,
-    "TOP_DOCS": 3
+    "TOP_DOCS": 5
 }

model/retriever.py

@@ -23,6 +23,9 @@ class Retriever:
 
     def compute_embeddings(self):
         self.model = SentenceTransformer('all-MiniLM-L6-v2')
+        # tokenizer = self.model._first_module().tokenizer
+        # if tokenizer.pad_token is None:
+        #     tokenizer.pad_token = tokenizer.eos_token
         self.chunk_embeddings = self.model.encode(self.corpus, convert_to_tensor=True)
 
     def chunk_text(self, text, chunk_size=CONFIG['CHUNK_SIZE']):