app.py

import gradio as gr
from transformers import pipeline

def analyze_output(input_text):
    pipe = pipeline("text-classification", model="ZachBeesley/Spam-Detector")
    result = pipe(input_text)[0]
    if result["label"] == "LABEL_0":
        return f"Not Spam: {result['score']:.4f}"
    else:
        return f"Spam: {result['score']:.4f}"

iface = gr.Interface(
    fn=analyze_output,
    inputs=gr.Textbox(),
    outputs="text",
    live=False,
    title="Spam Classification App",
    description="Enter a text to classify it as Spam or Not Spam.",
    theme="compact"
)

iface.launch()