Update app.py

app.py

@@ -220,7 +220,7 @@ def load_knowledge_base():
     try:
         loader = TextLoader("./data_source/time_to_rethink_trust_book.md")
         documents = loader.load()
-        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
         docs = text_splitter.split_documents(documents)
         return docs
     except Exception as e:
@@ -292,7 +292,7 @@ prompt_message = f""" You are a expert copywriter  capable of generating respons
                         *Strictly do not mention name of any trust bucket [ stability, development , relationship , competence , benefit , vision] in your response . 
                         
                         If user input  is Trust-Based or proof points or compelling copy  Query :
-                        If the query is related to particular trust buckets or proof points in that case only refer to knowledge base :{knowledge_base} and strictly follow the steps below:
+                        If the query is related to particular trust buckets or proof points in that case only refer to knowledge base :[knowledge_base] and strictly follow the steps below:
                         **Instructions :** 
                         *Identify Trust Bucket: Determine the relevant trust bucket from the user's query. Do not explicitly mention the trust bucket in your response.
                         *Response Length: Generate a detailed, compelling copy between 1000-2000 words focused exclusively on the identified trust bucket.