Update app.py

app.py

@@ -46,6 +46,7 @@ def id_replace_complex(s, threshold=0.4):
 
 def generate_candidate_text(s, model, tokenizer, tokenized=False):
 
+
   out = simpl_tok([s], max_length=256, padding="max_length",  truncation=True,
                   return_tensors='pt') if not tokenized else s
 
@@ -71,11 +72,8 @@ def rank_candidate_text(sentences):
 
 def full_pipeline(source, simpl_model, simpl_tok, tokens, lexical=False):
 
-  modified, complex_words = *id_replace_complex(
-      source, threshold=0.2) if lexical else source, None
-      
-  print(modified)
-  cands = generate_candidate_text(tokens+modified, simpl_model, simpl_tok)
+  modified, complex_words  = id_replace_complex(source, threshold=0.2) if lexical else (source, None)
+  cands = generate_candidate_text(tokens+modified simpl_model, simpl_tok)
   output = rank_candidate_text(cands)
   return output, complex_words