Update pages/type_text.py

pages/type_text.py

@@ -87,7 +87,8 @@ def convert_json(df:pd.DataFrame):
     #st.json(json_string, expanded=True)
     return json_string
 
-INTdesc_input = st.text_input("Type internal description", key="user_input") 
+#INTdesc_input = st.text_input("Type internal description", key="user_input") 
+INTdesc_input = st.text_input(r"$\textsf{\Large Type internal description}$", key="user_input")
 
 placeholder, right_column = st.columns(2)
 #placeholder_clicked = placeholder.button("Perform some action", key="user_placeholder")
@@ -127,8 +128,8 @@ rs_models = {
 }
  
 ## Create the select Reasoning box
-selected_rs_model = st.selectbox('Choose a Reasoning model:', list(rs_models.keys()))
-st.write("Current selection:", selected_rs_model)
+selected_rs_model = st.selectbox('Current selected Reasoning model:', list(rs_models.keys()))
+#st.write("Current selection:", selected_rs_model)
 
 ## Get the selected Reasoning model
 Reasoning_model = rs_models[selected_rs_model]
@@ -177,8 +178,11 @@ if INTdesc_input is not None and st.button("Map to SBS codes"):
     question = "Which one, if any, of the following Saudi Billing System descriptions A, B, C, D, or E corresponds best to " + INTdesc_input +"? " 
     shortlist = [SBScorpus[result[0]["corpus_id"]], SBScorpus[result[1]["corpus_id"]], SBScorpus[result[2]["corpus_id"]], SBScorpus[result[3]["corpus_id"]], SBScorpus[result[4]["corpus_id"]]] 
     prompt = question + " " +"A: "+ shortlist[0] + " " +"B: " + shortlist[1] + " " + "C: " + shortlist[2] + " " + "D: " + shortlist[3] + " " + "E: " + shortlist[4]
-    st.write(prompt)
-  
+    #st.write(prompt)
+
+
+
+    
     messages = [
     {"role": "system", "content": "You are a knowledgable AI assistant who always answers truthfully and precisely!"},
     {"role": "user", "content": prompt},