added default queries

app.py

@@ -28,8 +28,17 @@ st.write("Kadhal Engine on Sangam Literature (WIP) - part of sangamTensor Projec
 
 with st.form("my_form"):
    st.write("What do want to know about sangam era's love?")
-   
-   question_input = st.text_input("")
+
+   toggle = st.checkbox('sample queries')
+
+    if toggle:
+             question_input = st.selectbox('select a query:', 
+                                           ("How was love marriage celebrated in the Sangam era, as mentioned in Akananuru?",
+                                            "How did the heroine express her longing to her friend, as captured in Ainkurunuru?",
+                                             "What makes love stronger and everlasting, according to Thirukkural?",))
+        
+    else:
+            question_input = st.text_input("")
 
    
    
@@ -49,11 +58,12 @@ with st.form("my_form"):
        for out in sample:
            
            st.write(out["text"])
-           st.code(out["metadata"]["poemInTamilWDet"])
+           st.code(out["metadata"]["poemInTamilWDet"].replace("\xa0", " "))
            st.divider()
        
        
-st.write("Contact : https://www.linkedin.com/in/prabakaranchandrantheds/")
+st.write("Contact : https://www.linkedin.com/in/prabakaranchandrantheds/ for Collaborations" )
 
+st.caption("the LLM based Generator Part is not included to make the app up and running efficiently for everyone to use today - ping if you want to know the entire RAG flow with zephyr" )
 st.caption("Thanks and Credits should go to Ms.Vaidehi , who put magnanimous efforts to translate these many poems! : poems and translations taken from https://sangamtranslationsbyvaidehi.com/")
-st.caption("Thirukkural C2C: https://www.kaggle.com/datasets/rahulvks/thirukkural")
+st.caption("Thirukkural Credits to the Curator: https://www.kaggle.com/datasets/rahulvks/thirukkural")