app.py

import gradio as gr
import joblib
load_model,load_vectorizer = joblib.load('spam_detection.pkl')
def classify(text):
    temp = [text]
    temp_data_F = load_vectorizer.transform(temp)
    t = load_model.predict(temp_data_F)[0]
    if(t == 0):
        return("Not A SPAM")
    else:
        return("SPAM")
gr.Interface(fn=classify,inputs='text',outputs="text",title = "SPAM EMAIL DETECTOR").launch()