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| import gradio as gr | |
| import joblib | |
| model = joblib.load("model.pkl") | |
| vectorizer = joblib.load("vectorizer.pkl") | |
| def predict(text): | |
| X = vectorizer.transform([text]) | |
| pred = model.predict(X)[0] | |
| return "🚨 SPAM" if pred == 1 else "✅ NOT SPAM" | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Textbox(label="Enter a message"), | |
| outputs=gr.Label(label="Prediction"), | |
| title="Spam Detector", | |
| description="A simple ML model that classifies messages as spam or not spam." | |
| ) | |
| iface.launch() | |