Update app.py

app.py

@@ -15,7 +15,7 @@ from sentence_transformers import SentenceTransformer
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # InfoStrings
-from scorer import question_scorer
+#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
 
 TOKEN = os.environ.get("TOKEN", None)
@@ -228,7 +228,7 @@ def add_new_eval(
                         #print(reference_set, flush=True)
                         if len(line['cqs']) < 3: # make sure there are at least 3 cqs
                             return format_warning("Make sure that there are at least 3 questions per intervention, or check that the format is right.")
-                        for cq in line['cqs'][:2]: # here only take the first 3 cqs
+                        for cq in line['cqs'][:3]: # here only take the first 3 cqs
                             cq_text = cq['cq']
                             
                             if METRIC == 'similarity':
@@ -281,7 +281,7 @@ def add_new_eval(
 
                 
                 #return format_error(score)
-            score = sum(scores)/len(score)*10
+            score = sum(scores)/len(scores)*10
             print(score, flush=True)