| import streamlit as st | |
| import joblib | |
| st.title("Fake News Detection") | |
| model = joblib.load("src/fake_news_model.pkl") | |
| tfidf = joblib.load("src/tfidf.pkl") | |
| haber = st.text_area("Haber metnini giriniz") | |
| if st.button("Tahmin Et"): | |
| veri = tfidf.transform([haber]) | |
| tahmin = model.predict(veri) | |
| if tahmin[0] == 1: | |
| st.success("Gerçek Haber (REAL)") | |
| else: | |
| st.error("Sahte Haber (FAKE)") |