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from transformers import pipeline | |
# Load the text classification pipeline for sentiment analysis | |
fake_news_detector = pipeline("text-classification", model="facebook/bart-large-mnli") | |
# Streamlit app | |
st.title("Fake News Detector") | |
# Input text box for user-provided news article | |
news_article = st.text_area("Enter the news article:", "") | |
# Check fake news button | |
if st.button("Check Fake News"): | |
if news_article: | |
# Perform fake news detection | |
result = fake_news_detector(news_article)[0] | |
# Display result | |
st.subheader("Result:") | |
st.write(f"Label: {result['label']}, Confidence: {result['score']:.2f}") | |
else: | |
st.warning("Please enter a news article for analysis.") | |