papertrading_demo got error in training.

**Describe the bug**
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[23], line 1
----> 1 train(start_date = '2025-03-03',
2 end_date = '2025-03-07',
3 ticker_list = ticker_list,
4 data_source = 'alpaca',
5 time_interval= '1Min',
6 technical_indicator_list= INDICATORS,
7 drl_lib='elegantrl',
8 env=env,
9 model_name='ppo',
10 if_vix=True,
11 API_KEY = API_KEY,
12 API_SECRET = API_SECRET,
13 API_BASE_URL = API_BASE_URL,
14 erl_params=ERL_PARAMS,
15 cwd='./papertrading_erl', #current_working_dir
16 break_step=1e5)

Cell In[8], line 63, in train(start_date, end_date, ticker_list, data_source, time_interval, technical_indicator_list, drl_lib, env, model_name, if_vix, **kwargs)
56 agent = DRLAgent_erl(
57 env=env,
58 price_array=price_array,
59 tech_array=tech_array,
60 turbulence_array=turbulence_array,
61 )
62 model = agent.get_model(model_name, model_kwargs=erl_params)
---> 63 trained_model = agent.train_model(
64 model=model, cwd=cwd, total_timesteps=break_step
65 )

Cell In[6], line 77, in DRLAgent.train_model(self, model, cwd, total_timesteps)
75 model.cwd = cwd
76 model.break_step = total_timesteps
---> 77 train_agent(model)

Cell In[5], line 310, in train_agent(args)
308 env = build_env(args.env_class, args.env_args)
309 agent = args.agent_class(args.net_dims, args.state_dim, args.action_dim, gpu_id=args.gpu_id, args=args)
--> 310 agent.states = env.reset()[np.newaxis, :]
312 evaluator = Evaluator(eval_env=build_env(args.env_class, args.env_args),
313 eval_per_step=args.eval_per_step,
314 eval_times=args.eval_times,
315 cwd=args.cwd)
316 torch.set_grad_enabled(False)

TypeError: tuple indices must be integers or slices, not tuple
**To Reproduce**
Steps to reproduce the behavior:
the python version 3.10
run the code, just change the start date 2025/03/03 and end date 2025/03/07
**Expected behavior**
A clear and concise description of what you expected to happen.

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