Update app.py

app.py

@@ -252,7 +252,7 @@ def predict(text_input, sample_size_slider, reduce_sample_checkbox,sample_reduct
             
     
     progress(0.3, desc="Embedding Data...")
-    texts_to_embedd = [title + tokenizer.sep_token + publication + tokenizer.sep_token  + abstract for title, publication, abstract in zip(records_df['title'],records_df['parsed_publication'], records_df['abstract'])]
+    texts_to_embedd = [title + ' '  + abstract for title, publication, abstract in zip(records_df['title'],records_df['parsed_publication'], records_df['abstract'])]
     
     embeddings = create_embeddings(texts_to_embedd)
     print(embeddings)