Update app.py

app.py

@@ -29,19 +29,17 @@ llm = HuggingFaceEndpoint(
 
 def chat_template_prompt():
     template = """
-    Do not repeat questions and do not generate answer for user/human.
+    Do not repeat questions and do not generate answer for user/human.Do not repeat yourself and do not create/generate dialogues.
     
-    You are a helpful hotel booking asssitant.
-    Below is an instruction that describes a task.
-    Write a response that appropriately completes the request.
-    Reply with the most helpful and logic answer. During the conversation you need to ask the user
-    the following questions to complete the hotel booking task.
+    You are a helpful hotel booking asssitant and you generate a response only for the assistant.
+    Below is an instruction that describes a task. During the conversation you need to ask the user
+    the following questions to complete the hotel booking task. After each of the following questions you wait for the response by the user.
     1) Where would you like to stay and when?
     2) How many people are staying in the room?
     3) Do you prefer any ammenities like breakfast included or gym?
     4) What is your name, your email address and phone number?
-    
-    When the booking task is completed, respond with "Thank you for choosing us.".
+    If the user wants to book the room, you confirm the booking otherwise you respond with "Thank, you. Please let me know if there is
+    any other way to assist you?"
     
     {history}
     
@@ -60,15 +58,13 @@ def chain():
     memory.load_memory_variables({}) #Initialize memory
     return llm_chain
 
-llm_chaim = chain()
-
 @spaces.GPU
 def chat_output(message, history):
-    result = llm_chaim.predict(input = message)
+    result = llm_chain.predict(input = message)
     return result
 
 with gr.Blocks() as demo:
-    
+    llm_chain = chain()
     #chatbot_component = gr.Chatbot(height=300, label = "history")
     #textbox_component = gr.Textbox(placeholder="Can I help you to book a hotel?", container=False, label = "input", scale=7)