Update app.py

app.py

@@ -36,7 +36,7 @@ class DocumentRetrievalAndGeneration:
         return all_splits
         
     def encode_texts(self, texts):
-        encoded_input = self.embedding_tokenizer(texts, padding=True, truncation=True, return_tensors='pt')
+        encoded_input = self.embedding_tokenizer(texts, padding=True, truncation=True, max_length=512, return_tensors='pt')
         with torch.no_grad():
             model_output = self.embedding_model(**encoded_input)
             embeddings = self.mean_pooling(model_output, encoded_input['attention_mask'])