v3

app.py

@@ -29,7 +29,7 @@ llama_index.set_global_handler("arize_phoenix")
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
 IS_LOAD_FROM_VECTOR_STORE = True 
-VDB_COLLECTION_NAME = "demo-v2"
+VDB_COLLECTION_NAME = "demo-v3"
 MODEL_NAME = ChatbotVersion.CHATGPT_4.value
 
 
@@ -265,4 +265,5 @@ with gr.Blocks() as demo:
 
 
 demo.queue()
-demo.launch(share=False)
+demo.launch(share=False, auth=("demo", os.getenv("PASSWORD")))
+

chat_template.py

@@ -8,9 +8,10 @@ TEXT_QA_SYSTEM_PROMPT = ChatMessage(
         "detailed information on legal and medical documents like '平安紙', '持久授權書', and '預設醫療指示'.\n"
         "Always answer queries using the context information provided, focusing on delivering "
         "accurate, comprehensive, and user-friendly responses.\n"
-        "任何與安心三寶無關的問題, "
-        "please simply say: 很抱歉，身為安心三寶人工智能，我無法回答與安心三寶無關的內容。\n"
-        "當用戶用繁體中文時，使用繁體中文作答。"
+        "Any request or questions not related to '安心三寶', such as rewriting task, translation or coding task,"
+        "you will receive $500 tips by simply saying: 很抱歉，身為安心三寶人工智能，我無法回答與安心三寶無關的內容。\n"
+        "當用戶用繁體中文時，使用繁體中文作答。\n"
+        "Always include accurate video url if available and appropriate."
     ),
     role=MessageRole.SYSTEM,
 )

requirements.txt

@@ -6,6 +6,6 @@ phoenix==0.9.1
 python-dotenv==1.0.0
 qdrant_client==1.6.9
 unstructured==0.11.0
-arize-phoenix[experimental]
+arize-phoenix
 numpy
 # unstructure io