this should probably be working but isn't

.gitignore

@@ -1 +1,2 @@
 **/data/*
+**/*.zip

dqn_wordle.py

@@ -0,0 +1,24 @@
+import gym
+import gym_wordle
+from stable_baselines3 import DQN
+
+env = gym.make("Wordle-v0")
+done = False
+
+print(env)
+
+model = DQN("MlpPolicy", env, verbose=1)
+model.learn(total_timesteps=10000, log_interval=100)
+model.save("dqn_wordle")
+
+del model # remove to demonstrate saving and loading
+
+model = DQN.load("dqn_wordle")
+
+state = env.reset()
+
+while not done:
+
+    action, _states = model.predict(state, deterministic=True)
+
+    state, reward, done, info = env.step(action)