app.py

import gradio as gr
from transformers import pipeline

def analyze_output(input_text):
    pipe = pipeline("text-classification", model="Titeiiko/OTIS-Official-Spam-Model")
    result = pipe(input_text)[0]
    if result["label"] == "LABEL_0":
        return {"type": "Not Spam", "probability": result["score"]}
    else:
        return {"type": "Spam", "probability": result["score"]}

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

iface.launch()