| import joblib | |
| model = joblib.load("model.pkl") | |
| tfidf = joblib.load("vectorizer.pkl") | |
| def predict(text): | |
| X = tfidf.transform([text]) | |
| pred = model.predict(X)[0] | |
| return "spam" if pred == 1 else "ham" | |
| import joblib | |
| model = joblib.load("model.pkl") | |
| tfidf = joblib.load("vectorizer.pkl") | |
| def predict(text): | |
| X = tfidf.transform([text]) | |
| pred = model.predict(X)[0] | |
| return "spam" if pred == 1 else "ham" | |