natansabawi/breast-cancer-prediction

Predicts breast tumor malignancy from cell nuclei measurements using an SVM model trained on the Wisconsin Breast Cancer dataset. Deployed as bilingual (English/Amharic) Streamlit web apps for educational use # Breast Cancer Prediction — Deployment Package This folder is ready to push to GitHub and deploy on Streamlit Community Cloud (free). ## Contents - `app_en.py` — English Streamlit app - `app_am.py` — Amharic Streamlit app (generates a bilingual PDF report) - `breast_cancer_model.pkl` — trained SVM model + scaler bundle - `logo.png` — used by the Amharic app - `NotoSansEthiopic-Regular.ttf` / `NotoSansEthiopic-Bold.ttf` — fonts used for the Amharic PDF report - `requirements.txt` — Python dependencies ## Deploy (Streamlit Community Cloud, free) 1. Push this folder to a new **public** GitHub repo. 2. Go to share.streamlit.io and sign in with GitHub. 3. Click "New app", pick the repo/branch, and set **Main file path** to `app_en.py`. Deploy — this gives you the English site. 4. Click "New app" again on the same repo, but set **Main file path** to `app_am.py`. Deploy — this gives you the Amharic site (separate URL). Each app gets its own free `*.streamlit.app` URL, and both auto-redeploy whenever you push changes to the repo.