Update app.py

app.py

@@ -93,7 +93,7 @@ def CTXGen(X0, X3, X1, X2, τ, g_num, model_name):
             new_seq = None
             gen_len = len(X0)
             if is_stopped:
-                return pd.DataFrame(), "output.csv"
+                return "output.csv", pd.DataFrame()
 
             if time.time() - start_time > 1200:
                 break
@@ -108,7 +108,7 @@ def CTXGen(X0, X3, X1, X2, τ, g_num, model_name):
             length = gen_length - sum(1 for x in input_text if x != '[MASK]')
             for i in range(length):
                 if is_stopped:
-                    return pd.DataFrame(), "output.csv"
+                    return "output.csv", pd.DataFrame()
                 
                 _, idx_seq, idx_msa, attn_idx = get_paded_token_idx_gen(vocab_mlm, seq, new_seq)
                 idx_seq = torch.tensor(idx_seq).unsqueeze(0).to(device)