https://github.com/gpavanb1/lyrics-comparison
Get lyrics using API and perform translation to calculate similarity between languages
https://github.com/gpavanb1/lyrics-comparison
ai4bharat bert-embeddings lyrics movies nlp python
Last synced: about 1 year ago
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Get lyrics using API and perform translation to calculate similarity between languages
- Host: GitHub
- URL: https://github.com/gpavanb1/lyrics-comparison
- Owner: gpavanb1
- License: gpl-3.0
- Created: 2023-04-22T07:20:23.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-02-02T16:35:41.000Z (over 2 years ago)
- Last Synced: 2025-03-24T09:38:23.765Z (about 1 year ago)
- Topics: ai4bharat, bert-embeddings, lyrics, movies, nlp, python
- Language: Python
- Homepage:
- Size: 69.3 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Lyrics Comparison
Compare lyrics between languages by just providing the title
This repository contains integration to [Genius API client](https://docs.genius.com/) or [OpenAI](https://openai.com/blog/openai-api) for fetching lyrics and uses [LaBSE](https://huggingface.co/sentence-transformers/LaBSE) [1] and [AI4Bharat transliteration](https://pypi.org/project/ai4bharat-transliteration/) [2] for translating and calculating similarity.
## How to execute?
Just run
```
python main.py --mode [global, local] <--source [genius, openai]>
```
Those in `[` indicate possible options and those in `<` indicate optional arguments
## Local lyrics translation
To utilize lyrics that are available locally, please create a `lyrics_text` folder with subfolders as `tamil` and `telugu`
You can then add files with song names in lowercase and spaces replaced by `_`. For example, in `lyrics_text/tamil`, you can have a file named `pachai_nirame.txt`.
## Example
This repository includes an example where the files have already been downloaded. We will leave it upto the user to source lyrics from an appropriate source.
## Whom to contact?
Please direct your queries to [gpavanb1](http://github.com/gpavanb1)
for any questions.
## References
[1] Feng, F., Yang, Y., Cer, D., Arivazhagan, N., & Wang, W. (2020). Language-agnostic BERT sentence embedding. arXiv preprint arXiv:2007.01852.
[2] Madhani, Y., Parthan, S., Bedekar, P., Khapra, R., Seshadri, V., Kunchukuttan, A., ... & Khapra, M. M. (2022). Aksharantar: Towards building open transliteration tools for the next billion users. arXiv preprint arXiv:2205.03018.
## Acknowledgements
Many thanks to discussions with Prafulla Chandra A and Sankeerth Rao K on bringing this to fruition