feat: 2 candidate example quenstion added

app.py

@@ -17,7 +17,8 @@ st.header(TITLE)
 st.markdown('''
 <h5>Ask short-answer question that can be find in Wikipedia data.</h5>
 ''', unsafe_allow_html=True)
-st.markdown('This demo retrieves the original context from 21,000,000 wikipedia passages in real-time')
+st.markdown(
+    'This demo searches through 21,000,000 Wikipedia passages in real-time under the hood.')
 
 
 @st.cache_resource
@@ -56,6 +57,11 @@ st.markdown(styl, unsafe_allow_html=True)
 
 
 question = st.text_input("Question", INITIAL)
+col1, col2 = st.columns(2)
+if col1.button("Where is the capital of South Korea"):
+  question = "Where is the capital of South Korea"
+if col2.button("Where is Eiffel Tower"):
+  question = "Where is Eiffel Tower"
 
 
 @torch.inference_mode()
@@ -78,7 +84,7 @@ def main(question: str):
 
     # Reader
     [summary] = summarize_text(models['summarizer'][0],
-                             models['summarizer'][1], [ctx])
+                               models['summarizer'][1], [ctx])
     answers = ask_reader(models['reader'][0],
                          models['reader'][1], [question], [summary])
     answer = answers[0]['answer']