Update pages/3_Earnings_Semantic_Search_🔎_.py

pages/3_Earnings_Semantic_Search_🔎_.py

@@ -65,12 +65,12 @@ search_input = st.text_input(
         label='Enter Your Search Query',value= "What key challenges did the business face?", key='search')
         
 sbert_model_name = st.sidebar.selectbox("Embedding Model", options=list(bi_enc_dict.keys()), key='sbox')
+
+st.sidebar.markdown('###Earnings QnA Generator')
         
 chunk_size = 1000
 overlap_size = 50
 
-
-
 try:
 
     if search_input:
@@ -108,7 +108,7 @@ try:
                 
                 docsearch = process_corpus(st.session_state['earnings_passages'],title, embedding_model)
 
-                result = embed_text(search_input,title,embedding_model,docsearch)
+                result = embed_text(search_input,embedding_model,docsearch)
 
 
             references = [doc.page_content for doc in result['source_documents']]