diff --git a/README.md b/README.md
index 963a281344ca98ad2e0ece61deb14a4e4fd54386..91f8d68752ca567ed73c45e3cf15b7dd22e09333 100644
--- a/README.md
+++ b/README.md
@@ -27,10 +27,9 @@ Here we set up a complete pipeline to solve Cartpole environment with A2C algori
 
 Wandb has been set up to track the learning phase : [Report here](reports/A2C_CARTPOLE_REPORT.pdf)
 
-Preview : 
-<video controls src="videos/preview.mp4" title="Title"></video>
-
+[Preview here](videos/preview.mp4)
 
+[Hugging face](https://huggingface.co/MaximeCerise/a2c_cartpole)
 
 ### 3. Panda Reach 
 
@@ -45,5 +44,5 @@ Stable-Baselines3 package to train A2C model on the PandaReachJointsDense-v3 env
 - <b>Code:</b> [a2c_sb3_panda_reach.py](a2c_sb3_panda_reach.py)
 - <b>Hugging face :</b> [Here](https://huggingface.co/MaximeCerise/a2c-reach)
 - <b>WandB's report : </b> [a2c_reach_panda_report](<reports/A2C_reach_panda_report .pdf>)
-- <b>Preview :</b>
-<video controls src="videos/preview_reach.mp4" title="Title"></video>
+- <b>[Preview here](videos/preview_reach.mp4)</b>
+