remove debugging code

app.py

@@ -127,7 +127,6 @@ def generate_with_feedback(sent1, approx):
             'sentence1_attention_mask': torch.ones_like(input_ids)
               }
 
-    print('generating...')
     pred, (pred_text, interpolations) = model.infer_with_feedback_BP(ling_disc, sem_emb, inputs, tokenizer)
 
     interpolation = '-- ' + '\n-- '.join(interpolations)
@@ -147,9 +146,7 @@ def generate_random(sent1, count, approx):
         success = False
         patience = 0
         while not success:
-            print(c, patience)
             pred, interpolation = generate_with_feedback(sent1, approx)[:2]
-            print(pred)
             if pred not in preds:
                 success = True
             elif patience < 10: