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Hugging Face Transformers Library

Stranasum - Abstractive summarization using deep learning

Author: SebastiΓ‘n PetrΓ­k

Code repository for the bachelor thesis "Abstractive summarization using deep learning" on FIIT STU, Bratislava.

Hugging Face Transformers Library

The digital part included in the thesis contains the following files:

BP_SebastianPetrik |―― inference-server/ | |―― .gitignore <- gitignore file for i.s. | |―― Dockerfile <- inference server Dockerfile | |―― Dockerfile.cloud <- i.s. dockerfile for cloud deployment | \―― serve.py <- inference server code |―― model-server/ | |―― models/ <- models directory (place models here) | | |―― copper-haze-38/ <- copper-haze-38 artifact directory | | |―― lyric-snow/ <- lyric-snow artifact directory | | \―― rural-star-32/ <- rural-star-32 artifact directory | |―― .gitignore <- git ignore for model server | |―― Dockerfile <- model server dockerfile | |―― full-config.example.config <- example complete TF Serving config | \―― models.config <- TF Serving config for selected models |―― stranasum-frontend/ | |―― header.png <- frontend background image | |―― index.html <- frontend HTML code | \―― main.js <- frontend JS code |―― .gitignore <- global gitignore file |―― BP_SebastianPetrik.pdf <- thesis pdf |―― LICENSE <- repository license |―― README.md <- repository README |―― build-gcloud.sh <- google cloud GCR build script |―― docker-compose.external.yml <- remote deployment docker compose |―― docker-compose.yml <- docker compose config |―― experiment2_lstm_sum.ipynb <- LSTM experiment notebook |―― stranasum-data-gigaword.ipynb <- Gigaword data preparation module |―― stranasum-eval.ipynb <- Evaluation module |―― stranasum-model.ipynb <- Development module |―― stranasum-preprocessing.ipynb <- Data preparation module \―― stranasum-visual.ipynb <- Visualization module 

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Stranasum abstractive summarization project πŸ—Ώ for my Bachelor thesis at FIIT STU, Bratislava.

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