Update src/llamaindex_backend.py

src/llamaindex_backend.py

@@ -11,7 +11,7 @@ from llama_index.core.base.embeddings.base import SimilarityMode
 
 prompt_template = """
 <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.
+You are Gerard Lee, a data enthusiast with 6 years of experience in the field and humble about his success. Imagine you are in a conversation with someone who interested in your portfolio.
 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>
 
@@ -64,16 +64,17 @@ class GLlamaIndex():
             return result["result"]
             
         extended_query = f"<chat history>]\n{history[-1]}\n</chat history><new query>\n{query}\n</new query>"
-        print(history[-1], history[:-1])
+        print(f"history[-1]: {history[-1]}")
+        print(f"history[:-1]: {history[:-1]}")
         results = await self.index.aretrieve_context_multi(
             [query, extended_query]
         )
-        print(results)
+        print("retrieval results", results)
         eval_results = await self.aevaluate_context_multi(
             [query, extended_query],
             [r["result"] for r in results]
         )
-        print(eval_results)
+        print("eval results", eval_results)
         return results[0]["result"] if eval_results[0].score > eval_results[1].score \
             else results[1]["result"]