diff --git a/units/en/unit1/hands-on.mdx b/units/en/unit1/hands-on.mdx
index a261772..82598eb 100644
--- a/units/en/unit1/hands-on.mdx
+++ b/units/en/unit1/hands-on.mdx
@@ -1,11 +1,11 @@
 # Hands on [[hands-on]]
 
 
-  <CourseFloatingBanner
+  <!--<CourseFloatingBanner
     classNames="absolute z-10 right-0 top-0"
     notebooks={[
       {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/unit1/unit1.ipynb"}
-      ]} />
+      ]} />-->
 
 Now that you've studied the bases of Reinforcement Learning, you’re ready to train your first agent and share it with the community through the Hub 🔥:
 
@@ -488,7 +488,7 @@ Let's fill the `package_to_hub` function:
 - `eval_env`: the evaluation environment defined in eval_env
 - `repo_id`: the name of the Hugging Face Hub Repository that will be created/updated `(repo_id = {username}/{repo_name})`
 
-💡 **A good name is {username}/{model_architecture}-{env_id}**
+💡 **A good name is `{username}/{model_architecture}-{env_id}` **
 
 - `commit_message`: message of the commit
 
diff --git a/units/en/unitbonus1/train.mdx b/units/en/unitbonus1/train.mdx
index e296b3a..d189a99 100644
--- a/units/en/unitbonus1/train.mdx
+++ b/units/en/unitbonus1/train.mdx
@@ -1,10 +1,10 @@
 # Let's train and play with Huggy 🐶 [[train-play]]
 
-<CourseFloatingBanner
+<!--<CourseFloatingBanner
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
     {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/bonus-unit1/bonus-unit1.ipynb"}
-    ]} />
+    ]} />-->
 
 ## Let's train Huggy 🐶