Update app.py

app.py

@@ -7,9 +7,9 @@ from huggingface_sb3 import load_from_hub
 from stable_baselines3 import PPO
 from stable_baselines3.common.env_util import make_atari_env
 from stable_baselines3.common.vec_env import VecFrameStack
-
 from stable_baselines3.common.env_util import make_atari_env
 
+
 st.title("Atari Environments Live Model")
 
 # @st.cache This is not cachable :(
@@ -36,10 +36,10 @@ def load_model(env_name):
 
     return model
     
-st.subheader("In game theory and optimization Nash Equilibrium loss minimization starts playing randomly but then by understanding ratios of action success to action-reward with an action (observe, decide/predict, act and then observe outcome the Deep RL agents go from 50% efficiency to 98-99% efficiency based on quality of decision without making mistakes.")
+st.write("In game theory and optimization Nash Equilibrium loss minimization starts playing randomly but then by understanding ratios of action success to action-reward with an action (observe, decide/predict, act and then observe outcome the Deep RL agents go from 50% efficiency to 98-99% efficiency based on quality of decision without making mistakes.")
 
-st.subheader("list of agent environments https://github.com/DLR-RM/rl-baselines3-zoo/blob/master/benchmark.md")
-st.subheader("Deep RL models: https://huggingface.co/sb3")
+st.write("list of agent environments https://github.com/DLR-RM/rl-baselines3-zoo/blob/master/benchmark.md")
+st.write("Deep RL models: https://huggingface.co/sb3")
 
 env_name = st.selectbox(
     "Select environment",