diff --git a/apps/chatbot-kickstarter/chatbot.py b/apps/chatbot-kickstarter/chatbot.py
index 204dc29d..46c49e4b 100644
--- a/apps/chatbot-kickstarter/chatbot.py
+++ b/apps/chatbot-kickstarter/chatbot.py
@@ -2,24 +2,25 @@ import openai
 from termcolor import colored
 import streamlit as st
 
-from database import get_redis_connection,get_redis_results
+from database import get_redis_connection, get_redis_results
 
-from config import CHAT_MODEL,COMPLETIONS_MODEL, INDEX_NAME
+from config import CHAT_MODEL, COMPLETIONS_MODEL, INDEX_NAME
 
 redis_client = get_redis_connection()
 
 # A basic class to create a message as a dict for chat
 class Message:
     
-    
-    def __init__(self,role,content):
-        
+    def __init__(self, role,content):
         self.role = role
         self.content = content
         
     def message(self):
-        
-        return {"role": self.role,"content": self.content}
+        return {
+            "role": self.role,
+            "content": self.content
+        }
+
 
 # New Assistant class to add a vector database call to its responses
 class RetrievalAssistant:
@@ -28,7 +29,6 @@ class RetrievalAssistant:
         self.conversation_history = []  
 
     def _get_assistant_response(self, prompt):
-        
         try:
             completion = openai.ChatCompletion.create(
               model=CHAT_MODEL,
@@ -36,34 +36,57 @@ class RetrievalAssistant:
               temperature=0.1
             )
             
-            response_message = Message(completion['choices'][0]['message']['role'],completion['choices'][0]['message']['content'])
+            response_message = Message(
+                completion['choices'][0]['message']['role'],
+                completion['choices'][0]['message']['content']
+            )
             return response_message.message()
             
         except Exception as e:
-            
+
             return f'Request failed with exception {e}'
     
     # The function to retrieve Redis search results
+
     def _get_search_results(self,prompt):
         latest_question = prompt
-        search_content = get_redis_results(redis_client,latest_question,INDEX_NAME)['result'][0]
+        search_content = get_redis_results(
+            redis_client,latest_question, 
+            INDEX_NAME
+        )['result'][0]
+
         return search_content
         
-
     def ask_assistant(self, next_user_prompt):
         [self.conversation_history.append(x) for x in next_user_prompt]
         assistant_response = self._get_assistant_response(self.conversation_history)
         
         # Answer normally unless the trigger sequence is used "searching_for_answers"
         if 'searching for answers' in assistant_response['content'].lower():
-            question_extract = openai.Completion.create(model=COMPLETIONS_MODEL,prompt=f"Extract the user's latest question and the year for that question from this conversation: {self.conversation_history}. Extract it as a sentence stating the Question and Year")
+            question_extract = openai.Completion.create(
+                model = COMPLETIONS_MODEL, 
+                prompt=f'''
+                Extract the user's latest question and the year for that question from this 
+                conversation: {self.conversation_history}. Extract it as a sentence stating the Question and Year"
+            '''
+            )
             search_result = self._get_search_results(question_extract['choices'][0]['text'])
             
             # We insert an extra system prompt here to give fresh context to the Chatbot on how to use the Redis results
             # In this instance we add it to the conversation history, but in production it may be better to hide
-            self.conversation_history.insert(-1,{"role": 'system',"content": f"Answer the user's question using this content: {search_result}. If you cannot answer the question, say 'Sorry, I don't know the answer to this one'"})
+            self.conversation_history.insert(
+                -1,{
+                "role": 'system',
+                "content": f'''
+                Answer the user's question using this content: {search_result}. 
+                If you cannot answer the question, say 'Sorry, I don't know the answer to this one'
+                '''
+                }
+            )
             
-            assistant_response = self._get_assistant_response(self.conversation_history)
+            assistant_response = self._get_assistant_response(
+                self.conversation_history
+                )
             
             self.conversation_history.append(assistant_response)
             return assistant_response
@@ -71,14 +94,18 @@ class RetrievalAssistant:
             self.conversation_history.append(assistant_response)
             return assistant_response
             
+    def pretty_print_conversation_history(
+            self, 
+            colorize_assistant_replies=True):
         
-    def pretty_print_conversation_history(self, colorize_assistant_replies=True):
         for entry in self.conversation_history:
-            if entry['role'] == 'system':
+            if entry['role']=='system':
                 pass
             else:
                 prefix = entry['role']
                 content = entry['content']
-                output = colored(prefix +':\n' + content, 'green') if colorize_assistant_replies and entry['role'] == 'assistant' else prefix +':\n' + content
-                #prefix = entry['role']
-                print(output)
\ No newline at end of file
+                if colorize_assistant_replies and entry['role'] == 'assistant':
+                    output = colored(f"{prefix}:\n{content}, green")
+                else:
+                    output = colored(f"{prefix}:\n{content}")
+                print(output)