fix premise

src/loren.py

@@ -57,12 +57,11 @@ class Loren:
         label = id2label[y_predicted[0]]
 
         # Update js
-        js['local_premises'] = assemble_answers_to_one(js, k=3)
+        js = assemble_answers_to_one(js, k=1)
         js['evidence'] = [self.fc_client.tokenizer.clean_up_tokenization(e[2]) for e in js['evidence']]
         js['questions'] = [self.fc_client.tokenizer.clean_up_tokenization(q) for q in js['questions']]
         js['claim_phrases'] = [self.fc_client.tokenizer.clean_up_tokenization(a[0]) for a in js['answers']]
-        js['local_premises'] = [[self.fc_client.tokenizer.clean_up_tokenization(a) for a in aa]
-                                for aa in js['local_premises']]
+        js['local_premises'] = [self.fc_client.tokenizer.clean_up_tokenization(a) for a in js['evidential_assembled']]
         # js['m_attn'] = m_attn[0][:len(js['claim_phrases'])]
         js['phrase_veracity'] = z_predicted[0][:len(js['claim_phrases'])]
         js['claim_veracity'] = label