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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def play_random(env, steps):
 """ Play the environment making uniformly random decisions. Args: env (gym.Env):
 the initialized gym environment to play steps (int):
 the number of random steps to take Returns: None """

    try:
        done = True
        progress = tqdm(range(steps))
        for _ in progress:
            if done:
                _ = env.reset()
            action = env.action_space.sample()
            _, reward, done, info = env.step(action)
            progress.set_postfix(reward=reward, info=info)
            env.render()
    except KeyboardInterrupt:
        pass
    # close the environment
    env.close()