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app.py

@@ -40,15 +40,32 @@ def classify_text(text):
 
     return output
 
-# Example questions
+# Example questions from actual ESS training data
 examples = [
-    ["What is your age?"],
-    ["How satisfied are you with the healthcare system?"],
+    # EDUCATION (most common - 146 samples)
+    ["What is the highest level of education you have successfully completed?"],
+    ["What is the highest level of education your mother successfully completed?"],
+
+    # POLITICS (100 samples)
+    ["Which party did you vote for in the last national election?"],
+    ["How likely are governments in enough countries to take action to reduce climate change?"],
     ["Trust in country's parliament"],
-    ["What is your highest level of education?"],
-    ["How often do you pray?"],
-    ["What is your occupation?"],
-    ["Do you feel safe walking alone at night?"],
+
+    # HEALTH (90 samples)
+    ["How satisfied are you with the healthcare system?"],
+    ["Which health problems that you had in the last 12 months hampered you in your daily activities?"],
+
+    # LABOUR AND EMPLOYMENT (82 samples)
+    ["What best describes what you have been doing for the last 7 days - in paid work?"],
+    ["Which description best describes the sort of work your mother did when you were 14?"],
+
+    # SOCIETY AND CULTURE (73 samples)
+    ["How often do you pray apart from at religious services?"],
+    ["How important is it to always behave properly and avoid doing anything people would say is wrong?"],
+
+    # Additional examples
+    ["What is your age?"],
+    ["Do you feel safe walking alone at night in your local area?"],
 ]
 
 # Create Gradio interface