app.py

import gradio as gr
from transformers import pipeline

# Load a sentiment model that can classify scam-like language
classifier = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion")

def detect_scam(text):
    result = classifier(text)[0]
    label = result['label']
    score = result['score']
    if "fear" in label.lower() or "anger" in label.lower():
        message = "⚠️ This message may be a scam or manipulative."
    else:
        message = "✅ This message seems okay."
    return f"Prediction: {label} ({score:.2f})\n{message}"

interface = gr.Interface(fn=detect_scam, 
                         inputs=gr.Textbox(lines=4, placeholder="Paste a message here..."), 
                         outputs="text",
                         title="SafeNet AI - Scam Message Detector",
                         description="Paste a suspicious message to detect if it might be a scam using AI.")

interface.launch()