Update pages/type_text.py

pages/type_text.py

@@ -59,6 +59,7 @@ def load_model():
 #model = SentenceTransformer('sentence-transformers/msmarco-bert-base-dot-v5') 
 #model = SentenceTransformer('clips/mfaq')
 
+load_model()
 #INTdesc_embedding = model.encode(INTdesc_input)
 
 # Semantic search, Compute cosine similarity between all pairs of SBS descriptions
@@ -73,7 +74,7 @@ df_SBS = pd.read_csv("SBS_V2_Table.csv", header=0, skip_blank_lines=False, skipr
 #st.write(df_SBS.head(5))
 
 SBScorpus = df_SBS['Long_Description'].values.tolist()
-SBScorpus_embeddings = load_model().encode(SBScorpus)
+SBScorpus_embeddings = INTdesc_embedding.encode(SBScorpus)
 
 #my_model_results = pipeline("ner", model= "checkpoint-92")
 HF_model_results = util.semantic_search(INTdesc_embedding, SBScorpus_embeddings)