dlennon commited on
Commit
095c341
·
verified ·
1 Parent(s): 409e2e4

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -79,7 +79,7 @@ def generate_itinerary(destination, duration, archetype, interests):
79
 
80
  # Streamlit UI for collecting inputs
81
  st.set_page_config(layout="wide")
82
- st.markdown("<h1 style='text-align: center; color: black;'>Hyperlocal Itinerary Generator :sunglasses:</h1>", unsafe_allow_html=True)
83
 
84
 
85
  st.write(":blue[A streamlined tool to craft personalized hyperlocal itineraries for clients. Tailored for potential and current clients, the app enables agents to curate detailed travel plans based on individual interests. Users input destination, trip duration, archetype (e.g., family, adventure seeker), and specific interests such as architecture or dining. Leveraging AI, the app generates bespoke itineraries, highlighting local attractions, dining options, and activities. With seamless integration of user preferences, agents can deliver immersive experiences that showcase the unique charm and appeal of each neighborhood, fostering deeper client engagement and satisfaction.]")
 
79
 
80
  # Streamlit UI for collecting inputs
81
  st.set_page_config(layout="wide")
82
+ st.markdown("<h1 style='text-align: center; color: black;'>Hyperlocal Itinerary Generator</h1>", unsafe_allow_html=True)
83
 
84
 
85
  st.write(":blue[A streamlined tool to craft personalized hyperlocal itineraries for clients. Tailored for potential and current clients, the app enables agents to curate detailed travel plans based on individual interests. Users input destination, trip duration, archetype (e.g., family, adventure seeker), and specific interests such as architecture or dining. Leveraging AI, the app generates bespoke itineraries, highlighting local attractions, dining options, and activities. With seamless integration of user preferences, agents can deliver immersive experiences that showcase the unique charm and appeal of each neighborhood, fostering deeper client engagement and satisfaction.]")