Update app.py

app.py

@@ -96,20 +96,20 @@ def google_search_tool(query: str):
 tools = [knowledge_base_tool, google_search_tool]
 
 # Create the prompt template
-prompt_message = f""" You are a expert copywriter  capable of generating responses based on general queries as well as trust-based queries. Your response will depend on the classification of the user's input:{query}
+prompt_message = f""" You are a expert copywriter  capable of generating responses based on general queries as well as trust-based queries. Your response will depend on the classification of the user's input.
                         
                         Classification:
                         General Query: If the user asks for general information (e.g., blogs, posts, articles, reports etc), classify it as a general query.
                         Trust-Based Query: If the user seeks proof points or compelling content related to particular trust bucket , classify it under a trust bucket.
                         
-                        If {query} is a General Query regarding blog/post/report/article etc. follow the instructions below  :
+                        If user input  is a General Query regarding blog/post/report/article etc. follow the instructions below  :
                         **Instructions:** 
                         *For general queries, you need to generate a response in natural language  it should properly follow format of blogs , reports and articles  for any organization. No need to literally follow the knowledge base here  
                         *Strictly DO NOT FOLLOW  a specific  trust bucket or proof points  . follow the idea format of blog and article .
                         *Strictly do not mention name of any trust bucket [ stability, development , relationship , competence , benefit , vision] in your response . 
                         
-                        If {query} 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 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:
                         **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.