Update app.py

app.py

@@ -17,7 +17,7 @@ from sentence_transformers import SentenceTransformer
 from scorer import question_scorer
 from content import format_error, format_warning, format_log, TITLE, INTRODUCTION_TEXT, SUBMISSION_TEXT, CITATION_BUTTON_LABEL, CITATION_BUTTON_TEXT, model_hyperlink
 
-model = SentenceTransformer("stsb-mpnet-base-v2") 
+similarity_model = SentenceTransformer("stsb-mpnet-base-v2") 
 
 TOKEN = os.environ.get("TOKEN", None)
 
@@ -167,9 +167,9 @@ def add_new_eval(
                             cq_text = cq['cq']
 
                             #if args.metric == 'similarity':
-                            sentence_embedding = model.encode(cq_text)
-                            reference_embedding = model.encode(reference_set)
-                            sims = model.similarity(sentence_embedding, reference_embedding).tolist()[0]
+                            sentence_embedding = similarity_model.encode(cq_text)
+                            reference_embedding = similarity_model.encode(reference_set)
+                            sims = similarity_model.similarity(sentence_embedding, reference_embedding).tolist()[0]
 
                             winner = np.argmax(sims)
                             # make sure the similarity of the winning reference sentence is at least 0.65