import gradio as gr
def predict_fake_or_true_news(text):
    text_tfidf = tfidf_vectorizer.transform([text])
    prediction = clf.predict(text_tfidf)
    return "True" if prediction[0] == 1 else "Fake"

iface = gr.Interface(
    fn=predict_fake_or_true_news,
    inputs="text",
    outputs="text",
    live=True,
    title="Fake or True News Classifier",
    description="Enter a news article text to classify as 'Fake' or 'True'."
)

iface.launch()