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