Author: SebastiΓ‘n PetrΓk
Code repository for the bachelor thesis "Abstractive summarization using deep learning" on FIIT STU, Bratislava.
The digital part included in the thesis contains the following files:
BP_SebastianPetrik |ββ inference-server/ | |ββ .gitignore <- gitignore file for i.s. | |ββ Dockerfile <- inference server Dockerfile | |ββ Dockerfile.cloud <- i.s. dockerfile for cloud deployment | \ββ serve.py <- inference server code |ββ model-server/ | |ββ models/ <- models directory (place models here) | | |ββ copper-haze-38/ <- copper-haze-38 artifact directory | | |ββ lyric-snow/ <- lyric-snow artifact directory | | \ββ rural-star-32/ <- rural-star-32 artifact directory | |ββ .gitignore <- git ignore for model server | |ββ Dockerfile <- model server dockerfile | |ββ full-config.example.config <- example complete TF Serving config | \ββ models.config <- TF Serving config for selected models |ββ stranasum-frontend/ | |ββ header.png <- frontend background image | |ββ index.html <- frontend HTML code | \ββ main.js <- frontend JS code |ββ .gitignore <- global gitignore file |ββ BP_SebastianPetrik.pdf <- thesis pdf |ββ LICENSE <- repository license |ββ README.md <- repository README |ββ build-gcloud.sh <- google cloud GCR build script |ββ docker-compose.external.yml <- remote deployment docker compose |ββ docker-compose.yml <- docker compose config |ββ experiment2_lstm_sum.ipynb <- LSTM experiment notebook |ββ stranasum-data-gigaword.ipynb <- Gigaword data preparation module |ββ stranasum-eval.ipynb <- Evaluation module |ββ stranasum-model.ipynb <- Development module |ββ stranasum-preprocessing.ipynb <- Data preparation module \ββ stranasum-visual.ipynb <- Visualization module