Update app.py

app.py

@@ -73,38 +73,47 @@ def classify_text(text):
 st.title("Fake News Detector")
 
 # Add disclaimer
-st.markdown("""
-### Disclaimer
-
-**Important Notice:**
-
-This model was trained exclusively on news articles from Reuters. As a result, the model may be biased towards considering news from Reuters as "True" and may not accurately classify news from other sources. 
-
-**Usage Warning:**
-
-- This model is intended for experimental and educational purposes only.
-- We do not take any responsibility for the outcomes or decisions made based on the results provided by this model.
-- The model should not be used for any critical or real-world applications, especially those that involve significant consequences or decision-making.
-- Users are encouraged to apply their own judgment and consult multiple sources when evaluating the credibility of news.
-
-**By using this model, you acknowledge and accept these terms and disclaimers.**
-""")
+with st.expander("Disclaimer"):
+    st.markdown("""
+    
+    **Important Notice:**
+    
+    This model was trained exclusively on news articles from Reuters. As a result, the model may be biased towards considering news from Reuters as "True" and may not accurately classify news from other sources. 
+    
+    **Usage Warning:**
+    
+    - This model is intended for experimental and educational purposes only.
+    - We do not take any responsibility for the outcomes or decisions made based on the results provided by this model.
+    - The model should not be used for any critical or real-world applications, especially those that involve significant consequences or decision-making.
+    - Users are encouraged to apply their own judgment and consult multiple sources when evaluating the credibility of news.
+    
+    **By using this model, you acknowledge and accept these terms and disclaimers.**
+    """)
 
 st.write("Enter a news article URL below to check if it's real or fake:")
 
 news_url = st.text_area("News URL", height=100)
 
-if st.button("Evaluate"):
+
+if st.button("Evaluate URL"):
     if news_url:
         try:
             news_text = extract_news_text(news_url)
             predicted_label, probabilities = classify_text(news_text)
             st.write(f"The news article is predicted to be: **{predicted_label}**")
         except:
-            if st.button("Evaluate"):
-                st.write("It wasn't possible to fetch the article text. Enter the news article text below to check if it's real or fake:")
-                news_text = st.text_area("News text", height=300)
-                predicted_label, probabilities = classify_text(news_text)
-                st.write(f"The news article is predicted to be: **{predicted_label}**")
+            st.write("It wasn't possible to fetch the article text. Enter the news article text below to check if it's real or fake.")
+    else:
+        st.write("Please enter some news URL to evaluate.")
+
+st.write("Enter a news article text below to check if it's real or fake:")
+news_text = st.text_area("News Text", height=300)
+if st.button("Evaluate Text"):
+    if news_text:
+        try:       
+            predicted_label, probabilities = classify_text(news_text)
+            st.write(f"The news article is predicted to be: **{predicted_label}**")
+        except:
+            st.write("It wasn't possible to asses the article text.")            
     else:
         st.write("Please enter some news URL to evaluate.")