Update modularity animation

Author: MaartenGr

README.md

@@ -138,7 +138,7 @@ Find all possible visualizations with interactive examples in the documentation
 ## Modularity
 By default, the main steps for topic modeling with BERTopic are sentence-transformers, UMAP, HDBSCAN, and c-TF-IDF run in sequence. However, it assumes some independence between these steps which makes BERTopic quite modular. In other words, BERTopic not only allows you to build your own topic model but to explore several topic modeling techniques on top of your customized topic model:
 
-https://user-images.githubusercontent.com/25746895/205490350-cd9833e7-9cd5-44fa-8752-407d748de633.mp4
+https://user-images.githubusercontent.com/25746895/218420473-4b2bb539-9dbe-407a-9674-a8317c7fb3bf.mp4
 
 You can swap out any of these models or even remove them entirely. Starting with the embedding step, you can find out how to do this [here](https://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html) and more about the underlying algorithm and assumptions [here](https://maartengr.github.io/BERTopic/algorithm/algorithm.html).