Create app.py

app.py

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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.")