Update pages/type_text.py

pages/type_text.py

@@ -129,7 +129,7 @@ SentTrans_model = st_models[selected_st_model]
 rs_models = {
     '(medium speed) original model for general domain: meta-llama/Llama-3.2-1B-Instruct': 'meta-llama/Llama-3.2-1B-Instruct', 
     '(slower speed) original model for general domain: Qwen/Qwen2-1.5B-Instruct': 'Qwen/Qwen2-1.5B-Instruct', 
-    '(Higher speed) original mmodel for general domain: EpistemeAI/ReasoningCore-1B-r1-0': 'EpistemeAI/ReasoningCore-1B-r1-0',
+    '(medium speed) original model for general domain: EpistemeAI/ReasoningCore-1B-r1-0': 'EpistemeAI/ReasoningCore-1B-r1-0',
     '(expected in future) fine-tuned model for medical domain: meta-llama/Llama-3.2-1B-Instruct': 'meta-llama/Llama-3.2-1B-Instruct', 
     '(expected in future) fine-tuned model for medical domain: Qwen/Qwen2-1.5B-Instruct': 'Qwen/Qwen2-1.5B-Instruct',
 }
@@ -220,10 +220,10 @@ if INTdesc_input is not None and st.button("Map to SBS codes", key="run_st_model
     progress_bar = st.progress(0)
     status_text = st.empty()
     for pct_complete in range(1,101):
-        time.sleep(1.5)
+        time.sleep(3.0)
         progress_bar.progress(pct_complete)
         status_text.write("Progress: {}/100".format(pct_complete))
-        status_text.write("Please wait some time for Reasoning Model to analyze above 5 options and output the results")
+        status_text.warning("It may take several minutes for Reasoning Model to analyze above 5 options and output the results below.")
         #progress_bar.empty()
     
     outputs = pipe(