| import joblib | |
| # Load the trained model | |
| model = joblib.load('disaster_classification_model.joblib') | |
| # Sample text to test | |
| text = "This is a test message to check the model." | |
| # Make prediction | |
| prediction = model.predict([text])[0] | |
| # Print result | |
| result = "disaster" if prediction == 1 else "not" | |
| print(f"Prediction: {result}") | |