Update app.py

app.py

@@ -16,8 +16,8 @@ import torch
 
 # --- Models (load once, globally) ---
 scispacy = en_core_sci_lg.load()
-sbert_keybert = SentenceTransformer("pritamdeka/S-BioBert-snli-multinli-stsb")  # for keybert query
-sbert_rerank = SentenceTransformer("pritamdeka/s-pubmedbert-msmarco")           # for abstract reranking
+sbert_keybert = SentenceTransformer("pritamdeka/BioBERT-mnli-snli-scinli-scitail-mednli-stsb")  # for keybert query
+sbert_rerank = SentenceTransformer("pritamdeka/S-PubMedBert-MS-MARCO")           # for abstract reranking
 NLI_MODEL_NAME = "pritamdeka/PubMedBERT-MNLI-MedNLI"
 nli_tokenizer = AutoTokenizer.from_pretrained(NLI_MODEL_NAME)
 nli_model = AutoModelForSequenceClassification.from_pretrained(NLI_MODEL_NAME)