"""
app.py
Gradio demo for the spam classifier.
Deploy this file (plus requirements.txt) to a Hugging Face Space
(SDK: Gradio) to get a public shareable link.
"""

import gradio as gr
from inference import predict


def classify(text):
    if not text.strip():
        return "Enter a message above."
    result = predict(text)
    return f"{result['label'].upper()}  (confidence: {result['score']:.2%})"


demo = gr.Interface(
    fn=classify,
    inputs=gr.Textbox(
        lines=4,
        placeholder="Paste a text message or email snippet here...",
        label="Message",
    ),
    outputs=gr.Textbox(label="Prediction"),
    title="Spam Classifier",
    description=(
        "Classifies a message as SPAM or HAM using "
        "mrm8488/bert-tiny-finetuned-sms-spam-detection."
    ),
    examples=[
        ["Congratulations! You've won a free cruise, call now to claim your prize!"],
        ["Hey, are we still on for lunch tomorrow?"],
        ["URGENT: verify your account now or it will be suspended."],
    ],
)

if __name__ == "__main__":
    demo.launch()