Update app1.py

app1.py

@@ -240,6 +240,18 @@ if query:
             """
         )
 
+        rag_prompt = """ You are ahelpful assistant very profiient in formulating clear and meaningful answers from the context provided.Based on the CONTEXT Provided ,Please formulate
+        a clear concise and meaningful answer for the QUERY asked.Please refrain from making up your own answer in case the COTEXT provided is not sufficient to answer the QUERY.In such a situation please respond as 'I do not know'.
+        
+        QUERY:
+        {query}
+        
+        CONTEXT
+        {context}
+        
+        ANSWER:
+        """
+
         context_relevancy_evaluation_chain = LLMChain(llm=llm_judge, prompt=context_relevancy_checker_prompt, output_key="relevancy_response")
 
         response_crisis = context_relevancy_evaluation_chain.invoke({"context":context,"retriever_query":query})
@@ -252,6 +264,8 @@ if query:
 
         contexts = relevant_contexts_chain.invoke({"context_number":relevant_response['context_number'],"context":context})
 
+        final_prompt = PromptTemplate(input_variables=["query","context"],template=rag_prompt)
+
         response_chain = LLMChain(llm=rag_llm,prompt=final_prompt,output_key="final_response")
 
         response = chain.invoke({"query":query,"context":contexts['relevant_contexts']})