Update functions.py

functions.py

@@ -132,7 +132,7 @@ def load_models():
     ner_tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
     emb_tokenizer = AutoTokenizer.from_pretrained('google/flan-t5-xl')
     sent_pipe = pipeline("text-classification",model=q_model, tokenizer=q_tokenizer)
-    sum_pipe = pipeline("summarization",model="philschmid/flan-t5-base-samsum", tokenizer="philschmid/flan-t5-base-samsum",clean_up_tokenization_spaces=True)
+    sum_pipe = pipeline("summarization",model="philschmid/flan-t5-base-samsum")
     ner_pipe = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, grouped_entities=True)
     cross_encoder = CrossEncoder('cross-encoder/mmarco-mMiniLMv2-L12-H384-v1') #cross-encoder/ms-marco-MiniLM-L-12-v2
     sbert = SentenceTransformer('all-MiniLM-L6-v2')