| # TopicDig | |
| ### TopicDig enables on-the-fly news digest creation via named entity recognition and automatic summarization using HuggingFace's transformers library. | |
| #### [](https://share.streamlit.io/mpolinsky/sju_final_project/main/streamlit_app.py) | |
| **HuggingFace Spaces is currently experiencing difficulties performing requests from their containers.** | |
| HuggingFace app link: https://huggingface.co/spaces/green/TopicDig | |
| This application was created as the culmination of a semester of independent graduate research into NLP and transformers. | |
| The app displays topics, the user chooses up to three, and the app spins up a topical digest scraped from the headlines. | |
| This project makes heavy use of HuggingFace for NLP, and Gazpacho for web scraping. | |
| Original repo for the earlier version of this app is located at https://github.com/mpolinsky/sju_final_project/ | |