app.py

import gradio as gr
from transformers import pipeline

# ✅ Use a working fake news detection model
classifier = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")

# 💡 Function to classify news
def detect_fake_news(text):
    result = classifier(text)[0]
    label = result["label"]
    score = result["score"]
    explanation = "🟢 This looks like real news." if label == "REAL" else "🔴 This might be fake news."
    return f"Prediction: {label}\nConfidence: {score:.2f}\n{explanation}"

# 🎛️ Gradio UI
iface = gr.Interface(
    fn=detect_fake_news,
    inputs=gr.Textbox(lines=10, placeholder="Paste your news article here..."),
    outputs="text",
    title="📰 Fake News Detector",
    description="Detect whether a news article is real or fake using a fine-tuned BERT model."
)

iface.launch()