Added a license section to the README.md file.

README.md

@@ -312,6 +312,11 @@ python -m src.model.train --dataset "coco" --dataset_size "20%" --batch_size 2 -
 - **VoiceCraft**: The VoiceCraft text-to-speech module used in this project is based on the repository provided by Facebook Research. For more details, visit the [VoiceCraft GitHub](https://github.com/jasonppy/VoiceCraft) repository.
 - **Vision Transformer (SigLIP)**: The Vision Transformer architecture is inspired by "Sigmoid Loss for Language Image Pre-Training" by Zhai et al. (2023). [Paper link](https://arxiv.org/abs/2303.15343)
 
+## **License**
+
+This codebase is under CC BY-NC-SA 4.0 (LICENSE-CODE). Note that we use some of the code from other repository that are under different licenses: ./src/model/modules/voicecraft.py is under CC BY-NC-SA 4.0; ./src/model/modules/codebooks_patterns.py is under MIT license; ./src/model/modules/tokenizer.py are under Apache License, Version 2.0; the phonemizer we used is under GNU 3.0 License.
+
 ## **Acknowledgments**
 
 - Thanks to [nsandiman](https://github.com/nsandiman), [ravinamore-ml](https://github.com/ravinamore-ml), [Masengug](https://github.com/Masengug) and [Jerdah](https://github.com/Jerdah)
+- We thank Umar Jamil for his work [pytorch-paligemma](https://github.com/hkproj/pytorch-paligemma), from which we took lots of inspiration.