app.py

import gradio as gr
import pickle

# Load the trained model and vectorizer
model = pickle.load(open('spam_model.pkl', 'rb'))
vectorizer = pickle.load(open('vectorizer.pkl', 'rb'))

def predict_sms(message):
    transformed_text = vectorizer.transform([message])
    prediction = model.predict(transformed_text)[0]
    return "Spam" if prediction == 1 else "Not Spam"

# Gradio Web Interface
iface = gr.Interface(
    fn=predict_sms,
    inputs=gr.Textbox(label="Enter SMS Message"),
    outputs=gr.Label(),
    title="SMS Spam Classifier",
    description="Enter a message to check if it's spam or not."
)

# Launch the app
iface.launch()