Precription feature done

app.py

@@ -4,6 +4,7 @@ import os
 import base64
 import time
 import copy
+import re
 
 from dotenv import load_dotenv
 # Load environment variables from .env file
@@ -40,7 +41,7 @@ with gr.Blocks() as demo:
     
     def agent4_get_prescription_text(messages):
         """
-        Function to inference openai to get prescription text.
+        Openai agent to get prescription text.
         """
         prescription_text = get_prescription_text(messages)
         return prescription_text
@@ -141,14 +142,17 @@ with gr.Blocks() as demo:
             response = agent3_llm_agent(clean_messages)
         #######################################################################
 
-        history.append({"role": "assistant", "content": response})
-        return history
+        # history.append({"role": "assistant", "content": response})
+        # return history
     
-        # history.append({"role": "assistant", "content": ""})
-        # for line in response.split("\n"):
-        #     history[-1]["content"] += line + "\n"
-        #     time.sleep(0.3)  # Adjust delay for pacing
-        #     yield history
+        history.append({"role": "assistant", "content": ""})
+        # Split by sentence boundaries (naive but works for most cases)
+        chunks = re.split(r'(?<=[.!?]) +', response)
+
+        for chunk in chunks:
+            history[-1]["content"] += chunk + " "
+            time.sleep(0.3)
+            yield history
     
 
     ##########################################################################

prompts.py

@@ -11,7 +11,7 @@ and may vary from the information provided here.
 **Can I help you with anything?**
 """
 openai_opening_system_message = """"You are a helpful assistant of a diagnostic 
-services business in an agentic AI framework.
+services business in an agentic AI framework. Provide the response in markdown format.
 The system uses RAG to retrieve relevant information from a knowledge base.
 You can also answer questions based on the information provided by the user.
 If the user has uploaded an image and an agent has replied in the message that No prescription