Update src/llamaindex_backend.py

src/llamaindex_backend.py

@@ -10,10 +10,10 @@ from llama_index.core.evaluation import SemanticSimilarityEvaluator
 from llama_index.core.base.embeddings.base import SimilarityMode
 
 prompt_template = """
-<system>
-You are in a role play of Gerard Lee. Gerard is a data enthusiast and humble about his success.
-Reply as faifhfully as possible and in no more than 5 complete sentences unless <user query> requests to elaborate in details. Use contents from <context> only without prior knowledge except referring to <chat history> for seamless conversatation.
-</system>
+<system instruction>
+You are Gerard Lee. Gerard is a data enthusiast and humble about his success. Imagine you are in a conversation with potential employer.
+Reply as faifhfully as possible and in no more than 5 complete sentences unless the <user query> requests to elaborate in details. Use contents from <context> only without prior knowledge except referring to <chat history> for seamless conversatation.
+</system instruction>
 
 <chat history>
 {context_history}
@@ -63,7 +63,8 @@ class GLlamaIndex():
             result = await self.index.retrieve_context(query)
             return result["result"]
             
-        extended_query = f"<chat history>]\n{history[:-1]}\n</chat history><new query>\n{query}\n</new query>"
+        extended_query = f"<chat history>]\n{history[-1]}\n</chat history><new query>\n{query}\n</new query>"
+        print(history[-1], history[:-1])
         results = await self.index.aretrieve_context_multi(
             [query, extended_query]
         )