app.py

import gradio as gr
from transformers import pipeline

model_path = "./model"
classifier = pipeline("text-classification", model="./model")

def predict(text):
    result = classifier(text)
    return "Safe Email" if result[0]['label'] == "LABEL_0" else "Spam Email"

iface = gr.Interface(
    fn=predict,
    inputs="text",
    outputs="label",
    title="Spam or not",
    description="Enter Email body to classify it as spam or not spam.",
)

iface.launch()