update for the launch

app.py

@@ -22,8 +22,8 @@ ranker = Ranker(model_name="ms-marco-MiniLM-L-12-v2", cache_dir="./")
 
 
 st.header('kadhalTensor', divider='red')
-st.header('_Adhalal Kadhal Seiveer_ is :blue[cool] :cupid:')
-st.write("Kadhal Engine on Sangam Literature :love_letter: : by Prabakaran Chandran")
+st.header('_Adhalal :blue[Kadhal] Seiveer_ :blue[] :cupid:')
+st.write("Kadhal Engine on Sangam Literature (WIP) - part of sangamTensor Project :love_letter: : by Prabakaran Chandran")
 
 
 with st.form("my_form"):
@@ -38,22 +38,21 @@ with st.form("my_form"):
    submitted = st.form_submit_button("Submit")
    if submitted:
        
-       docs = kadhal_Server.similarity_search(question_input)
+       docs = kadhal_Server.similarity_search(question_input,k=5)
        tobeReranked = [{"text":doc.page_content , "metadata":doc.metadata} for doc in docs]
        rerankInput = RerankRequest(
                         passages=tobeReranked,
                         query=question_input,)
        reranked = ranker.rerank(rerankInput)
-
-       reranked_top = reranked[0:2]
-
        sample = np.random.choice(reranked,2)
        
        for out in sample:
+           
            st.write(out["text"])
            st.code(out["metadata"]["poemInTamilWDet"])
            st.divider()
        
        
+st.write("Contact : https://www.linkedin.com/in/prabakaranchandrantheds/)
 
-st.write("Equal Credits should go to Ms.Vaidehi , who put magnanimous efforts to translate these many poems!")
+st.caption("Equal Credits should go to Ms.Vaidehi , who put magnanimous efforts to translate these many poems! : https://sangamtranslationsbyvaidehi.com/")