Update pages/3_Deployment.py

pages/3_Deployment.py

@@ -10,12 +10,12 @@ with open("text_classification.pkl", "rb") as f:
     pipeline = pickle.load(f)
 
 # Helpful context for users
-st.markdown("#### 📌 *This model works best for YouTube comments related to the following topics:*")
-st.markdown("""
-- 😊 **Positive**: heartwarming reunion, kindness stories, feel-good moments  
-- 😠 **Negative**: bad customer experience, airline disaster, controversial incident  
-- 😐 **Neutral**: tech reviews, travel vlogs, gaming walkthroughs
-""")
+with st.expander("#### 📌 **Click here to see what topics this model was trained on**"):
+    st.markdown("""
+    - 😊 **Positive**: heartwarming reunion, kindness stories, feel-good moments  
+    - 😠 **Negative**: bad customer experience, airline disaster, controversial incident  
+    - 😐 **Neutral**: tech reviews, travel vlogs, gaming walkthroughs
+    """)
 
 # User input
 user_input = st.text_area("##### **Enter a YouTube comment to analyze:**",