import streamlit as st import pandas as pd import numpy as np #page configs st.set_page_config(layout="centered", page_icon="🧭", page_title="GPT-3 Travel Agent") st.markdown("

GPTravel Agent ✈️

", unsafe_allow_html=True) hide_menu_style = """ """ st.markdown(hide_menu_style, unsafe_allow_html=True) # sidebar with st.sidebar: locations=st.text_input(label='Places to Be (Comma Seperated', value="london, paris, munich", max_chars=25) activities = st.multiselect( 'Things to Do', ['food', 'drinking', 'hiking', 'sightseeing', 'museums'], ['drinking', 'museums']) vibe = st.selectbox( 'Vibe ', ['touristy', 'lowkey', 'active', 'lazy']) days = st.slider(label='Trip Length',min_value=1, max_value=5, value=3,) yo = ','.join(activities) st.write(days, f' days\n {locations}, doing {yo}, {vibe} vibes') generate_button = st.button('Take me there') #generate chart and plan if generate_button: if len(activities) <= 2 and len(locations.split(','))<=3: st.success('Scroll down to see your full itinerary!', icon="🧭") #openai request activity_list =','.join(activities) #st.write(f'Plan a trip day by day with the given parameters, give a lat/long per day: 5 days in {locations} doing {activity_list} with a {vibe} vibe:') #post process response, strip all lat/lons in order to plot, tab1, tab2 = st.tabs(["Map", "Itinerary"]) with tab1: #CHART GENERATION df = pd.DataFrame(np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],columns=['lat', 'lon']) st.map(df) with tab2: # TEXT TRIP st.subheader("Day by Day Itinerary") trip_view = st.container() for i in range(days): trip_view.write(f'**Day {i+1}** \n- Start the day in London by visiting the British Museum and other historic sites \n- Afterward, explore the city by taking a walking tour of the city \n- Finish the day by enjoying a pint at a local pub') st.text(" \n") else: st.error('Make sure you only enter no more than 2 activities and 3 locations!', icon="🌍") else: st.info('Enter your trip idea so I can do some planning!', icon="🧭") df = pd.DataFrame(np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],columns=['lat', 'lon']) st.map(df) # days, locations, activities, transportation, lowkey/touristy, #add map along with trip plan either split by the items or all on one of the sides # eventually store trips in a db and show top trips #plan a trip day by day with the given parameters, give rough lat/long per day: 5 days in london,paris,munich involving drinking,museums the transportation is train,bike: