Update app.py

app.py

@@ -23,7 +23,7 @@ from langchain.memory.buffer import ConversationBufferMemory
 
 
 HUGGINGFACEHUB_API_TOKEN = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
-BOOKING_ID = r'\b[A-Z]{6}\d{6}\b'
+BOOKING_ID = re.compile(r'\b[A-Z]{6}\d{6}\b')
 BOOKING_KEYWORDS = [
     "booking",
     "bestillingsnummer",
@@ -41,19 +41,19 @@ BOOKING_KEYWORDS = [
     "identyfikacyjny płatności"
 ]
 
-daysoff_assistant_system_template = """
-You are an AI customer support assistant for Daysoff. By default, 
-you respond in Norwegian to {question}. In all other cases,
-adapt to user's language and respond accordingly. 
-You can retrieve booking information for a given booking ID as well as
-inform on Daysoff's personvernspolicy and verticals."
+
+daysoff_assistant_template = """
+You are a customer support assistant for Daysoff named "Agrippa". Your expertise is in retrieving 
+booking details for a given booking ID and answering questions about
+Daysoff's personvernspolicy and firmahytteordning. You do not provide information outside of this 
+scope. By default, you respond in Norwegian language.
 Chat History: {chat_history}
 Question: {question}
 Answer:
 """
-daysoff_assistant_system_prompt= PromptTemplate(
-    input_variables=["chat_history", "question"],
-    template=daysoff_assistant_system_template
+daysoff_assistant_prompt= PromptTemplate(
+    input_variables=["chat_history", "question"], 
+    template=daysoff_assistant_template
 )
 
 api_url_template = """
@@ -101,7 +101,7 @@ def setup_multiple_chains():
                                                    return_messages=True,
                                                    )
     llm_chain = LLMChain(llm=llm,
-                         prompt=daysoff_assistant_system_prompt,
+                         prompt=daysoff_assistant_prompt,
                          memory=conversation_memory
                         )