Update app.py

app.py

@@ -65,7 +65,7 @@ def CTXGen(X1, X2, τ, g_num, length_range, model_name):
         while count < gen_num:
             new_seq = None
             if is_stopped:
-                return pd.DataFrame(), "output.csv"
+                return "output.csv", pd.DataFrame()
 
             if time.time() - start_time > 1200:
                 break
@@ -83,7 +83,7 @@ def CTXGen(X1, X2, τ, g_num, length_range, model_name):
 
             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)