Author: Sebastián Petrík
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
|―― 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