updated data and content

app.py

@@ -6,7 +6,7 @@ from sentence_transformers import SentenceTransformer
 import torch
 
 # STEP 2 FROM SEMANTIC SEARCH
-with open("destinations.txt", "r", encoding="utf-8") as file:
+with open("formatted_travel_tips.txt", "r", encoding="utf-8") as file:
     travel_text = file.read()
 
 # STEP 3 FROM SEMANTIC SEARCH
@@ -77,7 +77,7 @@ def respond(message, history): # Generate a response using the most relevant tra
     messages = [
         {
             "role": "system",
-            "content": f"You are a friendly travel agent. Base your response on {top_chunks}. Don't create anything, only take from our data. When choosing a country as a response send the top three countries that have the highest rating in order for the users given category"
+            "content": f"You are a friendly travel agent. Base your response on {top_chunks}. Don't create anything, only take from our data. Help the customer to plan outfits for their vacation and etiquette for the country."
         }, 
         {
             "role": "user",