app.py

import gradio as gr
from transformers import pipeline

model = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")

def detect_fake_news(text):
    result = model(text)[0]
    label = result['label']
    
    if label == "NEGATIVE":
        return "❌ Fake News"
    else:
        return "✅ Real News"

interface = gr.Interface(
    fn=detect_fake_news,
    inputs=gr.Textbox(lines=7, placeholder="Enter news text here..."),
    outputs="text",
    title="Fake News Detector",
    description="A simple model to classify text as fake or real news."
)

interface.launch()