| title: Indonesian News Summarizer 🇮🇩 | |
| emoji: 📰 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: "1.32.0" | |
| app_file: app.py | |
| pinned: false | |
| # Indonesian News Summarizer | |
| This is a Streamlit web app that summarizes Indonesian news articles using the `cahya/t5-base-indonesian-summarization-cased` model from Hugging Face. | |
| ## Features | |
| - Input a news article URL (e.g., from Detik.com) | |
| - Extracts full article text using `newspaper3k` | |
| - Summarizes using a fine-tuned T5 model | |
| ## Setup & Run | |
| ```bash | |
| pip install -r requirements.txt | |
| streamlit run app.py | |
| ``` | |
| ## Deployment on Hugging Face Spaces | |
| 1. Create a new Space (SDK: Streamlit) | |
| 2. Clone the Hugging Face repo | |
| 3. Push this project into the repo | |
| ```bash | |
| git add . | |
| git commit -m "Upload summarizer app" | |
| git push | |
| ``` | |