app.py

import gradio as gr
from transformers import pipeline

# Load Fake News Detection model
pipe = pipeline("text-classification", model="Pulk17/Fake-News-Detection")

def detect_fake_news(text):
    results = pipe(text)
    # Convert to dictionary {label: score}
    scores = {r["label"]: r["score"] for r in results}
    return scores

demo = gr.Interface(
    fn=detect_fake_news,
    inputs=gr.Textbox(lines=4, placeholder="Paste news article, headline, or social media post..."),
    outputs=gr.Label(num_top_classes=2),
    title="📰 Fake News Detector",
    description="Enter a news article or post and see if it's REAL or FAKE with confidence scores."
)

demo.launch()