Update app.py

app.py

@@ -303,7 +303,7 @@ def soap_pipeline(text: str):
 
 INSTRUCTIONS = {
     "NER" : """
-        ** NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
+        **NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
         
         **Paste the transcript in the below format:**
 
@@ -316,15 +316,14 @@ INSTRUCTIONS = {
         
     """,
     "Sentiment & Intent": """
-        ** NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
-        
-         **Paste the patient transcript in the below format:**
+        **NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
+        **Paste the patient transcript in the below format:**
             
         Patient: That’s great to hear. So, I don’t need to worry about this affecting me in the future?  
     """,
 
     "SOAP Generation" : """
-        ** NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
+        **NOTE -> First Inference Could take upto 1 minute due to loading of heavy dependencies. (Further Inferences will be quick) I have used LRU Cache**
 
         
         SOAP generation is currently not fully accurate. 
@@ -336,7 +335,7 @@ INSTRUCTIONS = {
 }
 
 with gr.Blocks() as demo:
-    gr.Markdown("# 🩺 Physician Notetaker Toolkit")
+    gr.Markdown("Physician Notetaker")
 
     with gr.Row():
         task = gr.Radio(